Subjects -> BUILDING AND CONSTRUCTION (Total: 139 journals)
    - BUILDING AND CONSTRUCTION (131 journals)
    - CARPENTRY AND WOODWORK (8 journals)

BUILDING AND CONSTRUCTION (131 journals)                     

Showing 1 - 35 of 35 Journals sorted alphabetically
A+BE : Architecture and the Built Environment     Open Access   (Followers: 23)
Academia : Architecture and Construction     Open Access   (Followers: 4)
ACI Structural Journal     Full-text available via subscription   (Followers: 20)
Advances in Building Education     Open Access   (Followers: 6)
Advances in Building Energy Research     Hybrid Journal   (Followers: 11)
Ambiente Construído     Open Access   (Followers: 1)
Anales de Edificación     Open Access  
Asian Journal of Civil Engineering     Hybrid Journal   (Followers: 2)
Australasian Journal of Construction Economics and Building     Open Access   (Followers: 8)
Baltic Journal of Real Estate Economics and Construction Management     Open Access   (Followers: 5)
Bautechnik     Hybrid Journal   (Followers: 1)
Beton- und Stahlbetonbau     Hybrid Journal   (Followers: 1)
Building & Management     Open Access   (Followers: 2)
Building Acoustics     Hybrid Journal   (Followers: 4)
Building Services Engineering Research & Technology     Hybrid Journal   (Followers: 3)
Buildings     Open Access   (Followers: 7)
BUILT : International Journal of Building, Urban, Interior and Landscape Technology     Open Access   (Followers: 3)
Built Environment Inquiry Journal     Open Access  
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 13)
Built-Environment Sri Lanka     Full-text available via subscription  
Case Studies in Construction Materials     Open Access   (Followers: 8)
Cement     Open Access   (Followers: 2)
Cement and Concrete Composites     Hybrid Journal   (Followers: 18)
Cement and Concrete Research     Hybrid Journal   (Followers: 18)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 5)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 4)
Change Over Time     Full-text available via subscription   (Followers: 3)
City, Culture and Society     Hybrid Journal   (Followers: 23)
Cityscape     Full-text available via subscription   (Followers: 10)
Clay Technology     Full-text available via subscription  
Concreto y cemento. Investigación y desarrollo     Open Access  
Construction Economics and Building     Open Access   (Followers: 4)
Construction Engineering     Open Access   (Followers: 9)
Construction Management and Economics     Hybrid Journal   (Followers: 24)
Construction Research and Innovation     Hybrid Journal   (Followers: 4)
Construction Robotics     Hybrid Journal   (Followers: 4)
Corporate Real Estate Journal     Full-text available via subscription   (Followers: 7)
Dams and Reservoirs     Hybrid Journal   (Followers: 3)
Developments in the Built Environment     Open Access  
Energy and Built Environment     Open Access  
Engineering Project Organization Journal     Hybrid Journal   (Followers: 6)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 11)
Environment and Urbanization Asia     Hybrid Journal   (Followers: 2)
Facilities     Hybrid Journal   (Followers: 4)
Frontiers in Built Environment     Open Access   (Followers: 1)
FUTY Journal of the Environment     Full-text available via subscription  
Glass Structures & Engineering     Hybrid Journal  
HBRC Journal     Open Access  
Housing and Society     Hybrid Journal   (Followers: 6)
HVAC&R Research     Hybrid Journal  
Indoor and Built Environment     Hybrid Journal   (Followers: 4)
Informes de la Construcción     Open Access  
Intelligent Buildings International     Hybrid Journal   (Followers: 2)
International Journal of Advanced Structural Engineering     Open Access   (Followers: 26)
International Journal of Air-Conditioning and Refrigeration     Hybrid Journal   (Followers: 12)
International Journal of Architectural Computing     Full-text available via subscription   (Followers: 5)
International Journal of Built Environment and Sustainability     Open Access   (Followers: 3)
International Journal of Concrete Structures and Materials     Open Access   (Followers: 10)
International Journal of Construction Engineering and Management     Open Access   (Followers: 9)
International Journal of Construction Management     Hybrid Journal   (Followers: 4)
International Journal of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 4)
International Journal of Housing Markets and Analysis     Hybrid Journal   (Followers: 11)
International Journal of Masonry Research and Innovation     Hybrid Journal  
International Journal of Protective Structures     Hybrid Journal   (Followers: 4)
International Journal of River Basin Management     Hybrid Journal  
International Journal of Structural Stability and Dynamics     Hybrid Journal   (Followers: 7)
International Journal of Sustainable Building Technology and Urban Development     Hybrid Journal   (Followers: 14)
International Journal of Sustainable Construction Engineering and Technology     Open Access   (Followers: 8)
International Journal of Sustainable Real Estate and Construction Economics     Hybrid Journal   (Followers: 2)
International Journal of the Built Environment and Asset Management     Hybrid Journal   (Followers: 5)
International Journal of Ventilation     Full-text available via subscription  
Journal for Education in the Built Environment     Open Access   (Followers: 3)
Journal of Aging and Environment     Hybrid Journal   (Followers: 4)
Journal of Architecture, Planning and Construction Management     Open Access   (Followers: 12)
Journal of Asian Architecture and Building Engineering     Open Access  
Journal of Building Construction and Planning Research     Open Access   (Followers: 10)
Journal of Building Engineering     Hybrid Journal   (Followers: 4)
Journal of Building Materials and Structures     Open Access   (Followers: 2)
Journal of Building Pathology and Rehabilitation     Hybrid Journal  
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 5)
Journal of Civil Engineering and Construction Technology     Open Access   (Followers: 14)
Journal of Civil Engineering and Management     Open Access   (Followers: 8)
Journal of Computational Acoustics     Hybrid Journal   (Followers: 5)
Journal of Computing in Civil Engineering     Full-text available via subscription   (Followers: 22)
Journal of Construction Business and Management     Open Access   (Followers: 4)
Journal of Construction Engineering     Open Access   (Followers: 10)
Journal of Construction Engineering, Technology & Management     Full-text available via subscription   (Followers: 7)
Journal of Facilities Management     Hybrid Journal   (Followers: 3)
Journal of Green Building     Full-text available via subscription   (Followers: 10)
Journal of Legal Affairs and Dispute Resolution in Engineering and Construction     Full-text available via subscription   (Followers: 4)
Journal of Property, Planning and Environmental Law     Hybrid Journal   (Followers: 6)
Journal of Structural Fire Engineering     Full-text available via subscription   (Followers: 4)
Journal of Sustainable Cement-Based Materials     Hybrid Journal  
Journal of Sustainable Design and Applied Research in Innovative Engineering of the Built Environment     Open Access   (Followers: 2)
Journal of the South African Institution of Civil Engineering     Open Access   (Followers: 2)
Journal of Transport and Land Use     Open Access   (Followers: 28)
Journal of Urban Technology and Sustainability     Open Access   (Followers: 1)
Landscape History     Hybrid Journal   (Followers: 16)
Materiales de Construcción     Open Access   (Followers: 1)
Mauerwerk     Hybrid Journal  
Modular and Offsite Construction (MOC) Summit Proceedings |     Open Access  
Naval Engineers Journal     Hybrid Journal   (Followers: 1)
Nordic Concrete Research     Open Access  
Open Construction & Building Technology Journal     Open Access  
PARC Pesquisa em Arquitetura e Construção     Open Access  
Proceedings of the Institution of Civil Engineers - Forensic Engineering     Hybrid Journal  
Proceedings of the Institution of Civil Engineers - Urban Design and Planning     Hybrid Journal   (Followers: 11)
Revista ALCONPAT     Open Access  
Revista de la Construcción     Open Access  
Revista de Urbanismo     Open Access   (Followers: 2)
Revista Hábitat Sustenable     Open Access  
Revista Ingenieria de Construcción     Open Access   (Followers: 1)
Revista INVI     Open Access  
RILEM Technical Letters     Open Access  
Room One Thousand     Open Access  
Ruang-Space: Jurnal Lingkungan Binaan (Journal of The Built Environment)     Open Access  
Russian Journal of Construction Science and Technology     Open Access  
Science and Technology for the Built Environment     Hybrid Journal  
Smart and Sustainable Built Environment     Hybrid Journal   (Followers: 8)
Steel Construction - Design and Research     Hybrid Journal   (Followers: 4)
Stroitel’stvo : Nauka i Obrazovanie     Open Access  
Structural Concrete     Hybrid Journal   (Followers: 4)
Structural Mechanics of Engineering Constructions and Buildings     Open Access   (Followers: 2)
Sustainable Buildings     Open Access   (Followers: 3)
Sustainable Cities and Society     Hybrid Journal   (Followers: 22)
Technology|Architecture + Design     Hybrid Journal  
Terrain.org : A Journal of the Built & Natural Environments     Free   (Followers: 3)
The Historic Environment : Policy & Practice     Hybrid Journal   (Followers: 4)
The IES Journal Part A: Civil & Structural Engineering     Hybrid Journal   (Followers: 5)
The Journal of Integrated Security and Safety Science (JISSS)     Open Access   (Followers: 14)
Tidsskrift for boligforskning     Open Access  

           

Similar Journals
Journal Cover
International Journal of Architectural Computing
Journal Prestige (SJR): 0.213
Number of Followers: 5  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1478-0771 - ISSN (Online) 2048-3988
Published by Sage Publications Homepage  [1174 journals]
  • A shape grammar for the spontaneous occupation settled in fishing
           villages: The case of Garopaba, Brazil

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      Authors: Sara Dotta Correa, Carlos Eduardo Verzola Vaz
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      This work presents the second stage of a larger study which conducted the elaboration of a shape grammar based on the analysis of the remaining fishing villages in the Santa Catarina State, Southern Brazil. The architectural and formal structure of the villages provide a perspective of the constructive methods and features embedded in the spatial arrangements and represent a local cultural heritage site. The aim of the present work relies on unraveling its spatial resources using a shape grammar approach, in order to contribute to the preservation of a distinct culture, and is intended to be used to safeguard its formal language planning. Also, through the analytical grammar, it would be possible to contribute in framing design guidelines regarding the remaining villages, to keep it steady on the traditional context, safeguarding its peculiar character. As such, the method in this body of work considered the analysis resulting from the first stage, in order to develop an analytical shape grammar using Garopaba village as a case of study. This stage involved the establishment of a formal language for the analytical grammar, consisting of initial form, vocabulary, families, and spatial relations, and thus, a series of rules emerged, decoding the composition arrangements. The results involved the verification of the considered parameters, confirming the existence of spatial patterns. Thus, it was possible to conclude that the grammar contributes to identifying the occupation process occupation and the spatial patterns which underlies an artisanal fishing village. Also, the grammar allowed the creation of urban compositions similar to the structure of traditional fishing communities in Santa Catarina, generating different discussions regarding the analytical approach towards fishing villages arrangements, compared to the examples studied, specifically, in Garopaba city.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-27T09:51:25Z
      DOI: 10.1177/14780771221124698
       
  • From evidence to assessment: Developing a scenario-based computational
           design algorithm to support informed decision-making in primary care
           clinic design workflow

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      Authors: Raha M Rastegar, Sara Saghafi Moghaddam, Ramtin Haghnazar, Craig Zimring
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      This paper describes a method to tailor computational design algorithms to evaluate human-centric outputs in architectural projects by presenting a case study that evaluates teamwork affordance for primary care clinics. We argue that computational design assessment techniques fall short of evaluating those human experiences that stem from multiple interactions between individuals and the surrounding environment. This research suggests that future computational design algorithms could benefit from incorporating scenario-based methods developed in the field of evidence-based design, in which studies are concerned about improving qualitative goals. Through this case study, we describe the process of prototyping a computational design algorithm based on the Functional Scenario Analysis approach, applying the algorithm to evaluate case studies, visualizing findings, and extracting design strategies based on the analysis results. This method offers a new vision of how computational design can benefit informed decision-making processes and generate design alternatives aligned with a project’s design goals.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-16T02:24:58Z
      DOI: 10.1177/14780771221121031
       
  • Generative workplace and space planning in architectural practice

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      Authors: Victor W Okhoya, Marcelo Bernal, Athanassios Economou, Nirvik Saha, Robert Vaivodiss, Tzu-Chieh K Hong, John Haymaker
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Generative design is emerging as an important approach for design exploration and design analysis in architectural practice. At the interior design scale, although many approaches exist, they do not meet many requirements for implementing generative design in practice. These requirements include the need for end-user accessible tools and skills, rapid execution, the use of standard inputs and outputs, and being scalable and reusable. In this paper, we describe a hybrid process that uses both space allocation and shape grammar algorithms to solve workplace and space planning interior design problems. Space allocation algorithms partition spaces according to program requirements while shape grammar automates the placement of inventory and the production of high-resolution drawings. We evaluate using three real world example projects how this hybrid approach meets the identified requirements of generative space planning in architectural practice.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-14T10:46:20Z
      DOI: 10.1177/14780771221120580
       
  • Fast wind prediction incorporated in urban city planning

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      Authors: Lenka Kabošová, Angelos Chronis, Theodoros Galanos
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Digital design and analysis tools are continually progressing, enabling more seamless integration of climatic impacts into the conceptual design stage, which naturally means enhanced environmental performance of the final designs. Planning sustainable urban configurations and, consequently, environment-derived architectural forms becomes more rapid and requires less effort enabling smooth incorporation into day-to-day practice. This research paper presents a wind prediction-based architectural design method for improving outdoor wind comfort through urbanism and architecture. The added value of the environment-driven design loop consisting of parametric design, wind flow analysis, and necessary design modifications lies in leveraging the newly developed wind prediction tool InFraRed. As is demonstrated in the application study in Kosice, Slovakia, iterating through various design options and evaluating their impact on the wind flow is swift and reliable. That enables the designer to explore the best-performing design alternatives for outdoor wind comfort, yet the extra time required for the analysis is negligible.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-14T10:36:16Z
      DOI: 10.1177/14780771221121034
       
  • Designing Possibilities: Predictions and Projections

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      Authors: Paula Z Gómez, Frederico Braida, Fernando Lima, Mauricio Loyola
      Abstract: International Journal of Architectural Computing, Ahead of Print.

      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-13T11:08:52Z
      DOI: 10.1177/14780771221121730
       
  • Generating floor plans with deep learning: A cross-validation assessment
           over different dataset sizes

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      Authors: Ricardo C Rodrigues, Rovenir B Duarte
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      The advent of deep learning has enabled a series of opportunities; one of them is the ability to tackle subjective factors on the floor plan design and make predictions though spatial semantic maps. Nonetheless, the amount available of data grows exponentially on a daily basis, in this sense, this research seeks to investigate deep generative methods of floor plan design and its relationship between data volume, with training time, quality and diversity in the outputs; in other words, what is the amount of data required to rapidly train models that return optimal results. In our research, we used a variation of the Conditional Generative Adversarial Network algorithm, that is, Pix2pix, and a dataset of approximately 80 thousand images to train 10 models and evaluate their performance through a series of computational metrics. The results show that the potential of this data-driven method depends not only on the diversity of the training set but also on the linearity of the distribution; therefore, high-dimensional datasets did not achieve good results. It is also concluded that models trained on small sets of data (800 images) may return excellent results if given the correct training instructions (Hyperparameters), but the best baseline to this generative task is in the mid-term, using around 20 to 30 thousand images with a linear distribution. Finally, it is presented standard guidelines for dataset design, and the impact of data curation along the entire process.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-06T07:08:24Z
      DOI: 10.1177/14780771221120842
       
  • Computational generation of a spatial layout through syntactical
           evaluation and multi-objective evolutionary optimization

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      Authors: Selen Cicek, Gozde Damla Turhan
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      The space layout problem encompasses challenges that rely on a diverse range of contexts regarding urban planning and architectural design, during the traditional design phases which require immense effort and time for the evaluation of the spatial elements’ characteristic needs. In order to eliminate the burden of considering all multidimensional design aspects at the same time, this research presents a three-bodied computational method for locating the spaces of the given architectural design program in a project site, according to the defined list of design objectives and criteria. Besides the determination of the layout according to the requirements of the spatial elements, this research proposes an integration of the space syntax theory’s analytical compounds in terms of Justified Graph Analysis and Integration Values as the fitness criteria for the multi-objective evolutionary optimization in the computational model. To satisfy the integrity levels of each various characterized element within site organization, that are implied inherently by the architectural design program and generate a sustainable space network layout for the project site.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-09-02T05:18:36Z
      DOI: 10.1177/14780771221120576
       
  • Visualizing connections: University campus and social infrastructure

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      Authors: Luís H Pavan, Lucas F Oliveira, Camila P Mangrich, Gabriela Harthmann, Jose R Kos
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      As a social infrastructure, the material substrates of a campus intertwine with the sociabilities it supports. Intending to identify the integration potential between a Brazilian public university campus and its surrounding neighborhoods, we mapped the campus’ social infrastructures and identified through diagrammatic studies its morphological dimensions. Internet routers distributed on the university campus provided georeferenced data of the human dynamics on campus. Counting user connections in groups of access points, we obtained the population density of the potential social infrastructure use. Afterward, associating Wi-Fi data and typological information, we traced itineraries that connect these infrastructures. The results encompass a systemic view that highlights the campus’ potential to develop sociability within a complex service network. Furthermore, through new readings of the social infrastructures, we suggest alternative potential uses. These results highlight the hybrid methodologies that associate objective characteristics of the built environment with data-driven methodologies, such as Wi-Fi-generated datasets.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-08-28T04:35:44Z
      DOI: 10.1177/14780771221120579
       
  • Computation for Architecture, hybrid visual and textual language: Research
           developments and considerations about the implementation of structural
           imperative and object-oriented paradigms

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      Authors: Goncalo Castro Henriques, Pedro Maciel Xavier, Victor de Luca Silva, Luca Rédua Bispo, João Victor Fraga
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      In the fourth industrial revolution, programming promises to be a fundamental subject like mathematics, science, languages ​​or the arts. Architects design more than buildings developing innovative methods and they are among the pioneers in visual programming development. However, after more than 10 years of visual programming in architecture, despite the fast-learning curve, visual programming presents considerable limitations to solve complex problems. To overcome limitations, the authors propose to associate the advantages of visual and textual languages in Python. The article addresses an ongoing research study to implement Computational Methods in Architectural Education. The authors began by describing the general goal of this project, and of this article in particular. This article focuses on the implementation of two disciplines ‘Computation for Architecture in Python’ I and II. The first discipline uses programming based on the construction of functions in the imperative language, implemented in the text editor, in visual programming, using Grasshopper methods. The second discipline, which is under development, intends to teach object-oriented programming. The results of the first discipline are encouraging; despite reported difficulties in programming fundamentals, such as lists, loops and recursion. The development of the second discipline, in object-oriented programming, deals with the concepts of classes and objects, and more abstract principles such abstraction, inheritance, polymorphism or encapsulation. This paradigm allows building robust programs, but requires a more in-depth syntax. The article reports this ongoing research on this new paradigm of object-oriented language, expanding the application of a hybrid visual-textual language in Architecture.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-08-18T01:28:10Z
      DOI: 10.1177/14780771221121829
       
  • Parametric investigation of agent-based modeling in algorithmic
           development of curved surfaces

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      Authors: Bhoomika Umashankar
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Architects aspire to build iconic buildings and focus on experimenting with non-standard forms. The construction of non-standard forms is challenging. This has led many researchers and facade designers to develop and resolve the complexity of forms to simpler, buildable elements. In this progress, the tessellation of non-standard surfaces has experimented considerably with different approaches using computational tools. All the approaches from researchers or facade engineers have limited access for every designer. As they develop patented software or use any coding languages which are not accessed by any open-source platform. Hence in academia, it is difficult to experiment in this domain. This paper analyzes the existing panalization computational tools and different approaches used by researchers worldwide in developing complex curved surfaces. Analyzing the relevant cases led to identifying the gap in current research. This has led to investigate and explore a new algorithmic process using an existing computational tool: Agent-based modeling on an open-source tool (Grasshopper-Visual programming language), which is phase -1 of the Master’s thesis.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-08-16T07:03:04Z
      DOI: 10.1177/14780771221120693
       
  • Development and application of an algorithmic-parametric tool to assess
           the contribution of urban forestry to mitigate floods

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      Authors: Iago Longue Martins, Ana Paula Lyra
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      As an impact of climate change, water-related disasters, such as floods, are becoming more frequent. In this context, there is an increasing demand to improve the resiliency of urban settlements, using multiple approaches and techniques. This paper assesses one of those techniques, by developing an algorithmic-parametric tool to quantify how urban forestry reduces flood impacts from rainfall runoff. The assessment was comprised by three main methodological steps: (#1) observing the scientific literature on “the sponge effect” observed in green infrastructures; (#2) developing an algorithmic-parametric tool using the Grasshopper application to estimate rainfall runoff, considering the influence of urban forestry design factors; and (#3) performing digital simulations with this parametric tool using a Rhinoceros-Grasshopper interface. Results indicate this method is effective in assessing the efficacy of green interventions to mitigate urban flood damage and also in foreseeing how different design strategies impact urban hydrological dynamics.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-08-11T08:47:27Z
      DOI: 10.1177/14780771221120649
       
  • Erratum to Urban scale digital twins in data-driven society: Challenging
           digital universalism in urban planning decision-making.

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      Abstract: International Journal of Architectural Computing, Ahead of Print.

      Citation: International Journal of Architectural Computing
      PubDate: 2022-08-08T04:53:38Z
      DOI: 10.1177/14780771221093272
       
  • Benjamin W. Betts and his computable approach towards morphogenesis

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      Authors: Hossein Soltan Rahmati, Mohammad Hossein Ayatollahi
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Morphological theories in architecture are more popular than ever partly due to the rapid developments in computational techniques. This rapid development, however, is more fruitful when it is informed of the philosophical and ethical bases of such techniques. The neglected historical case of Benjamin W. Betts, an architect of the late Victorian Britain, is an early example of the effects of philosophical presuppositions on computable theories of morphogenesis in arts and architecture. The aims of this study are to shed light on his motivations and sources of inspiration, and also to present an algorithm for his procedure. We used the only book available on the Betts' works in addition to archival materials to conduct the research. Betts was under heavy influence of Idealism and Oriental thought in his symbology and the morphogenetic procedure he designed. The Python/Grasshopper algorithm for Rhino presented in this paper produces two dimensional Betts' diagrams that can be used as an educational tool or an opportunity of enjoying the beauty of mathematical forms, and the immense variety they offer thanks to parameterization.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-06-05T04:00:10Z
      DOI: 10.1177/14780771221106152
       
  • Context-aware module for evaporative cooling in the outdoor built
           environment

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      Authors: Djordje Stojanovic, Milica Vujovic, Yi Ding, Milan Katic
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      This paper introduces modular and context-aware evaporative cooling for the outdoor urban environment as a physical structure that could be implemented at various scales and physical contexts. We propose a technique for collecting occupancy and climatic data to create a computational context and optimise its operation. We then outline a concept for developing a predictive algorithm that would further enhance its performance. The research focuses on the interaction between the proposed system and the environment and establishes an evidence-based technique to balance the temperature drop and the humidity it generates. The study combines architectural design, mechanical engineering and computer science to enable the upscaled application of evaporative cooling to help reduce local heat accumulation in cities.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-05-20T09:36:31Z
      DOI: 10.1177/14780771221095307
       
  • Fifty years of shape grammars: A systematic mapping of its application in
           engineering and architecture

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      Authors: Sverre Magnus Haakonsen, Anders Rønnquist, Nathalie Labonnote
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Shape grammars allow a designer to explore a diverse and broad design space. Especially among architects and engineers, the opportunity to evaluate numerous alternatives in the conceptual phase facilitates creativity. Since the introduction of shape grammars 50 years ago, significant research and development have been performed: new applications, combinations with optimisation and integration in digital environments, among others. Consequently, there is a need to map the existing literature to encourage further progress in the field and a lower threshold for those interested in learning more about shape grammars. This study, therefore, presents a systematic mapping of shape grammars in architecture and engineering. Mapping is performed by identifying a query of relevant keywords used in five databases, with the results forming the basis of the mapping. Each of the included articles is then screened to filter out those that do not fit the content criteria. The remaining publications are then evaluated and organised based on the attributes’ application, research type, implementation, engineering and optimisation. The outcome is organised in explanatory illustrations and tables. The final discussion highlights the extensive work performed with shape grammars in the generation of two-dimensional floor plans, an increase in digital development in recent years and the need for further research. The findings indicate a gap between the state of the art and the necessary level of applicability for shape grammars to be an attractive design tool, especially for non-experts.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-05-20T01:17:17Z
      DOI: 10.1177/14780771221089882
       
  • Identifying correlations between depression and urban morphology through
           generative deep learning

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      Authors: David William Newton
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Mental health disorders, such as depression, have been estimated to account for the largest proportion of global disease burden. Existing research has established significant correlations between the built environment and mental health. This research, however, has relied on traditional statistical methods that are not amenable to working with large remote sensing image-based datasets. This research addresses this challenge and contributes new knowledge and a novel method for using generative deep learning for urban analysis and synthesis tasks involving mental health. The research specifically investigates three mental state measures: depression, anxiety, and the perception of safety. The experimental results demonstrate the efficacy of the process—providing a new method to find correlational signals, while providing insights on the correlation between specific urban design features and the incidence of depression.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-05-18T12:55:05Z
      DOI: 10.1177/14780771221089885
       
  • Machine learning in the discipline of architecture: A review on the
           research trends between 2014 and 2020

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      Authors: Gizem Özerol, Semra Arslan Selçuk
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Through the recent technological developments within the fourth industrial revolution, artificial intelligence (AI) studies have had a huge impact on various disciplines such as social sciences, information communication technologies (ICTs), architecture, engineering, and construction (AEC). Regarding decision-making and forecasting systems in particular, AI and machine learning (ML) technologies have provided an opportunity to improve the mutual relationships between machines and humans. When the connection between ML and architecture is considered, it is possible to claim that there is no parallel acceleration as in other disciplines. In this study, and considering the latest breakthroughs, we focus on revealing what ML and architecture have in common. Our focal point is to reveal common points by classifying and analyzing current literature through describing the potential of ML in architecture. Studies conducted using ML techniques and subsets of AI technologies were used in this paper, and the resulting data were interpreted using the bibliometric analysis method. In order to discuss the state-of-the-art research articles which have been published between 2014 and 2020, main subjects, subsets, and keywords were refined through the search engines. The statistical figures were demonstrated as huge datasets, and the results were clearly delineated through Sankey diagrams. Thanks to bibliometric analyses of the current literature of WOS (Web of Science), CUMINCAD (Cumulative Index about publications in Computer Aided Architectural Design supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD, and CAAD futures), predictable data have been presented allowing recommendations for possible future studies for researchers.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-05-17T05:34:11Z
      DOI: 10.1177/14780771221100102
       
  • Agent-based modeling and simulation of pandemic propagation in a school
           environment

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      Authors: Ahmad A Fouad, Ahmed El Antably
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Spatial behavior is a principal aspect for architects to consider. Unfortunately, it is sometimes hard to predict, as users of space seldom follow a standard routine. However, predicting user behavior in a space can potentially illuminate the entire design process. Moreover, it is a key factor in fighting the recent COVID-19 pandemic. Until most of the public gets their vaccine, health officials recommend social distancing as the primary means of fighting the pandemic. This paper uses an agent-based modeling and simulation (ABMS) approach to reproduce, analyze, and predict spatial behavior during the pandemic in a school environment and its impact on disease propagation. The simulation reproduces the behavior of teachers and students at a sample elementary school. By manipulating parameters that simulate the school officials' response to the pandemic, stakeholders can assess the most effective preventive measures. As a result of running multiple scenarios, the study demonstrates how varying starting conditions and alternate spatial behaviors could lead to different results, providing insight to stakeholders on how to handle disease spread in school environments.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-05-05T03:08:03Z
      DOI: 10.1177/14780771221089886
       
  • Estimating tread width values for stair design appropriated to people’s
           comfort and safety needs with adaptive network-based fuzzy inference
           system

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      Authors: Fadime Diker, Mesut Arslan, İlker Erkan
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      In this study, it is aimed to develop an adaptive network-based fuzzy inference system (ANFIS) model that can estimate tread width values based on the physical characteristics of people and suitable for comfort and safety needs. The input values were obtained by measuring the height, step, and shoe sole lengths of the sample group of 200 people. For the tread width value to be used as output value, a prototype stair model in which different step sizes can be experienced was used. The tread width value obtained by using the test data in the developed ANFIS model was compared with the tread width value obtained from the experimental study. It has been concluded that the ANFIS model developed as a result of the comparison can be used as an efficient tool in estimating the value of stair tread width, which can meet people’s physical comfort needs.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-04-15T03:57:15Z
      DOI: 10.1177/14780771221082252
       
  • The many facets of design computation in contemporary architecture

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      Authors: Andre Brown
      First page: 147
      Abstract: International Journal of Architectural Computing, Ahead of Print.

      Citation: International Journal of Architectural Computing
      PubDate: 2022-06-13T12:27:10Z
      DOI: 10.1177/14780771221108876
       
  • How we talk(ed) about it: Ways of speaking about computational
           architecture

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      Authors: Anca-Simona Horvath
      First page: 150
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      If we understand architecture as a three-part system formed by the building, its image, or drawings and images describing buildings, and the critical discourse around architecture, then the texts or ways of speaking about architecture play a key role in understanding the field and its development. By analysing a corpus of around 4.6 million words from texts written between 2005 and 2020 that form a part of critical discourse in computational architecture (understood as the result of the intense digitalization of the field), this paper aims to map ways of speaking about computational architecture. This contributes to architectural theory and might help gain a better understanding of the evolution of the digitalization of construction in general. Findings show that computational architecture is surrounded by a specific way of speaking, hybridized with words from fields such as biology, neuroscience, arts and humanities, and engineering. While some topics such as ‘sustainability’ or ‘biology’ come up consistently in the discourse, others, such as ‘people’ or ‘human’, have periods when they are more and less popular. After highlighting open research questions, the paper concludes by presenting a map of periodic and recurring topics in ways of speaking about computational architecture over the last 15 years, thus tracking and documenting long-term trends, and illuminating patterns in the broader field of digital construction.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-02-08T07:04:29Z
      DOI: 10.1177/14780771211070006
       
  • Navigating Design Spaces: Finding Designs, Design Collections, and Design
           Subspaces

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      Authors: Sara Garcia, António Leitão
      First page: 176
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Generative design systems can generate a wide panoply of solutions, from which designers search for those that best suit their interests. However, without guidance, this search can be highly inefficient, and many interesting solutions may remain unexplored. This problem is mitigated with automated exploration methods. Still, the ones typically provided by generative design tools are mostly based on black-box methods that drastically reduce the role of the designer, while more straightforward white-box mechanisms are dispersedly found in specific applications. This paper proposes the Navigator tool, which gathers a set of white-box mechanisms that automate the generation of default, random, similar and hybrid designs and design subspaces, while also supporting the generation of design collections. The proposed mechanisms were tested with two generative systems that create, respectively, tower and chair designs. We expect that, by providing understandable mechanisms for navigating design spaces, designers can become more engaged in the search process.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-03-13T08:01:14Z
      DOI: 10.1177/14780771211073119
       
  • Machine learning and complex compositional principles in architecture:
           Application of convolutional neural networks for generation of
           context-dependent spatial compositions

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      Authors: Tomasz Dzieduszyński
      First page: 196
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      A substantial part of architectural and urban design involves processing of compositional interdependencies and contexts. This article attempts to isolate the problem of spatial composition from the broader category of synthetic image processing. The capacity of deep convolutional neural networks for recognition and utilization of complex compositional principles has been demonstrated and evaluated under three scenarios varying in scope and approach. The proposed method reaches 95.1%–98.5% efficiency in the generation of context-fitting spatial composition. The technique can be applied for the extraction of compositional principles from the architectural, urban, or artistic contexts and may facilitate the design-related decision making by complementing the required expert analysis.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-03-02T10:06:02Z
      DOI: 10.1177/14780771211066877
       
  • The use of reinforced learning to support multidisciplinary design in the
           AEC industry: Assessing the utilization of Markov Decision Process

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      Authors: Samer BuHamdan, Aladdin Alwisy, Thomas Danel, Ahmed Bouferguene, Zoubeir Lafhaj
      First page: 216
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      While the design practice in the architecture, engineering, and construction (AEC) industry continues to be a creative activity, approaching the design problem from a perspective of the decision-making science has remarkable potentials that manifest in the delivery of high-performing sustainable structures. These possible gains can be attributed to the myriad of decision-making tools and technologies that can be implemented to assist design efforts, such as artificial intelligence (AI) that combines computational power and data wisdom. Such combination comes to extreme importance amid the mounting pressure on the AEC industry players to deliver economic, environmentally friendly, and socially considerate structures. Despite the promising potentials, the utilization of AI, particularly reinforced learning (RL), to support multidisciplinary design endeavours in the AEC industry is still in its infancy. Thus, the present research discusses developing and applying a Markov Decision Process (MDP) model, an RL application, to assist the preliminary multidisciplinary design efforts in the AEC industry. The experimental work shows that MDP models can expedite identifying viable design alternatives within the solutions space in multidisciplinary design while maximizing the likelihood of finding the optimal design.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-02-15T08:02:45Z
      DOI: 10.1177/14780771211069999
       
  • Urban scale digital twins in data-driven society: Challenging digital
           universalism in urban planning decision-making

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      Authors: Marianna Charitonidou
      First page: 238
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      The article examines the impact of the virtual public sphere on how urban spaces are experienced and conceived in our data-driven society. It places particular emphasis on urban scale digital twins, which are virtual replicas of cities that are used to simulate environments and develop scenarios in response to policy problems. The article also investigates the shift from the technical to the socio-technical perspective within the field of smart cities. Despite the aspirations of urban scale digital twins to enhance the participation of citizens in the decision-making processes relayed to urban planning strategies, the fact that they are based on a limited set of variables and processes makes them problematic. The article aims to shed light on the tension between the real and the ideal at stake during this process of abstracting sets of variables and processes in the case of urban scale digital twins.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-01-10T12:35:47Z
      DOI: 10.1177/14780771211070005
       
  • Computational regionalism: De-familiarization of tectonics in the
           wire-bending craft

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      Authors: Vernelle AA Noel
      First page: 277
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Computer-based design and fabrication systems in architecture contain modes of operation and preferences that often constrain tectonic possibilities in design and construction. These predispositions neglect architecture’s cultural and material dimensions, resulting in universalizing tectonics that erase nuances of place, culture, and expression in design. How may we celebrate local tectonic languages while also revisiting them through computer-based systems in architecture' The project examined here highlights novel possibilities for cultural expression and craftsmanship through computational design methods, retaining the expressive potential of a local craft while de-familiarizing its cultural context. I analyze how shape grammars and digital fabrication methods deployed in design, de-familiarizes the craft of wire-bending in costuming in the Trinidad Carnival. I present and apply new rules for the craft’s computational description based on material tests and an architectural application to expand discourses on critical regionalism. I adopt Tabbarah’s term “computational regionalism” to describe this process and elaborate it as a five-step sequence. Computational regionalism employs computational methods to translate local craft knowledge and tectonic languages into new interpretations and poetics of construction. Its process of creative de-familiarization raises critical questions about the local and the universal.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-06-03T05:15:30Z
      DOI: 10.1177/14780771221097685
       
  • A computational framework for supporting architectural education of
           spaces’ furnishing design

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      Authors: Randa M.A. Mahmoud, Amr M.A. Youssef
      First page: 346
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Self-learning is receiving great attention internationally in different fields, along with the best utilization of different computational applications or methods. This paper introduces a novel computational approach for supporting Architectural Design Education (ADE) in its early stages; a computational implementation through MATLAB has been developed to conduct the proposed processes. As a scope, spaces’ furnishing design has been selected to demonstrate the proposed computational approach and implementation, while office workspaces have been selected as a representative case. However, the proposed approach provides and enhances ADE through three main concepts: (a) generating design alternatives for different cases of furnishing spaces, (b) providing accurate and flexible evaluations to students’/designers’ works with different levels, and (c) tracking students based on their defaults and relevant sensitive modifications. Different applications of the proposed approach have been generated, analyzed, and validated.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-05-19T05:22:24Z
      DOI: 10.1177/14780771221097683
       
  • Performance comparison analysis of 3D reconstruction modeling software in
           construction site visualization and mapping

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      Authors: Ali Keyvanfar, Arezou Shafaghat, Muhamad SF Rosley
      First page: 453
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Unmanned aerial vehicle (UAV) technology has overcome the limitations of conventional construction management methods using advanced and automated visualization and 3D reconstruction modeling techniques. Although the mapping techniques and reconstruction modeling software can generate real-time and high-resolution descriptive textural, physical, and spatial data, they may fail to develop an accurate and complete 3D model of the construction site. To generate a quality 3D reconstruction model, the construction manager must optimize the trade-offs among three major software-selection factors: functionalities, technical capabilities, and the system hardware specifications. These factors directly affect the robust 3D reconstruction model of the construction site and objects. Accordingly, the purpose of this research was to apply nine well-established 3D reconstruction modeling software tools (DroneDeploy, COLMAP, 3DF+Zephyr, Autodesk Recap, LiMapper, PhotoModeler, 3D Survey, AgiSoft Photoscan, and Pix4D Mapper) and compare their performances and reliabilities in generating complete 3D models. The research was conducted in an eco-home building at the University of Technology, Malaysia. A series of regression analyses were conducted to compare the performances of the selected 3D reconstruction modeling software in alignment and registration, distance computing, geometric measurement, and plugin execution. Regression analysis determined that among the software programs, LiMapper had the strongest positive linear correlation with the ground truth model. Furthermore, the correlation analysis showed a statistically significant p-value for all software, except for 3D Survey. In addition, the research found that Autodesk Recap generated the most-robust and highest-quality dense point clouds. DroneDeploy can create an accurate point cloud and triangulation without using many points as required by COLMAP and LiMapper. It was concluded that most of the software is robustly, positively, and linearly correlated with the corresponding ground truth model. In the future, other factors involving software selection should be studied, such as vendor-related, user-related, and automation factors.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-02-28T01:42:18Z
      DOI: 10.1177/14780771211066876
       
  • Liability in BIM projects—Preliminary review results

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      Authors: Katayoun Taghizadeh, Tayebe Yavari Roushan, Maryam Alizadeh
      First page: 476
      Abstract: International Journal of Architectural Computing, Ahead of Print.
      Building Information Modelling (BIM) fosters a collaborative working environment. With the industry moving toward this change, most practitioners believe that, compared to traditional methods, there will be a change in project liabilities and risk assignment. Design integration through BIM leads to ambiguity in determining the party responsible for the design. Therefore, BIM parties need to understand not only BIM but also the change in their responsibilities and think of solutions to liability and risk assignment. Based on the information gathered from three resources, this study aims at reviewing solutions to design liability assignment. These three resources are as follows: the existing research studies in the field of BIM adoption challenges, the existing contractual standards such as AIA G202, and contract conditions of 10 BIM projects. Findings indicate that there has been a lack of attention to design liability in BIM. The results provide significant insights into the status of BIM liability issue, the existing gaps in the knowledge, and potential future research.
      Citation: International Journal of Architectural Computing
      PubDate: 2022-03-03T11:29:07Z
      DOI: 10.1177/14780771211041778
       
 
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