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  Subjects -> ENGINEERING (Total: 2462 journals)
    - CHEMICAL ENGINEERING (209 journals)
    - CIVIL ENGINEERING (212 journals)
    - ELECTRICAL ENGINEERING (116 journals)
    - ENGINEERING (1290 journals)
    - ENGINEERING MECHANICS AND MATERIALS (398 journals)
    - HYDRAULIC ENGINEERING (57 journals)
    - INDUSTRIAL ENGINEERING (82 journals)
    - MECHANICAL ENGINEERING (98 journals)

CIVIL ENGINEERING (212 journals)                  1 2 | Last

Showing 1 - 200 of 213 Journals sorted alphabetically
ACI Structural Journal     Full-text available via subscription   (Followers: 20)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 3)
Acta Structilia : Journal for the Physical and Development Sciences     Open Access   (Followers: 3)
Advances in Civil Engineering     Open Access   (Followers: 43)
Advances in Structural Engineering     Full-text available via subscription   (Followers: 34)
Agregat     Open Access   (Followers: 1)
Ambiente Construído     Open Access   (Followers: 1)
American Journal of Civil Engineering and Architecture     Open Access   (Followers: 36)
Architectural Engineering     Open Access   (Followers: 5)
Architecture and Engineering     Open Access  
Architecture, Civil Engineering, Environment     Open Access   (Followers: 1)
Archives of Civil and Mechanical Engineering     Full-text available via subscription   (Followers: 3)
Archives of Civil Engineering     Open Access   (Followers: 13)
Archives of Hydro-Engineering and Environmental Mechanics     Open Access   (Followers: 2)
ATBU Journal of Environmental Technology     Open Access   (Followers: 4)
Australian Journal of Structural Engineering     Full-text available via subscription   (Followers: 7)
Baltic Journal of Road and Bridge Engineering     Open Access   (Followers: 1)
BER : Building and Construction : Full Survey     Full-text available via subscription   (Followers: 10)
BER : Building Contractors' Survey     Full-text available via subscription   (Followers: 2)
BER : Building Sub-Contractors' Survey     Full-text available via subscription   (Followers: 2)
BER : Survey of Business Conditions in Building and Construction : An Executive Summary     Full-text available via subscription   (Followers: 3)
Berkeley Planning Journal     Open Access   (Followers: 5)
Bioinspired Materials     Open Access   (Followers: 5)
Bridge Structures : Assessment, Design and Construction     Hybrid Journal   (Followers: 14)
Building & Management     Open Access   (Followers: 2)
Building and Environment     Hybrid Journal   (Followers: 15)
Building Women     Full-text available via subscription  
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 15)
Bulletin of Pridniprovsk State Academy of Civil Engineering and Architecture     Open Access   (Followers: 6)
Canadian Journal of Civil Engineering     Hybrid Journal   (Followers: 14)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 6)
Case Studies in Nondestructive Testing and Evaluation     Open Access   (Followers: 11)
Case Studies in Structural Engineering     Open Access   (Followers: 10)
Cement and Concrete Composites     Hybrid Journal   (Followers: 20)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 3)
Challenge Journal of Structural Mechanics     Open Access   (Followers: 5)
Change Over Time     Full-text available via subscription   (Followers: 2)
Civil and Environmental Engineering     Open Access   (Followers: 8)
Civil and Environmental Engineering Reports     Open Access   (Followers: 8)
Civil and Environmental Research     Open Access   (Followers: 19)
Civil Engineering = Siviele Ingenieurswese     Full-text available via subscription   (Followers: 4)
Civil Engineering and Architecture     Open Access   (Followers: 24)
Civil Engineering and Environmental Systems     Hybrid Journal   (Followers: 3)
Civil Engineering and Technology     Open Access   (Followers: 13)
Civil Engineering Dimension     Open Access   (Followers: 12)
Civil Engineering Infrastructures Journal     Open Access   (Followers: 1)
Cohesion and Structure     Full-text available via subscription   (Followers: 2)
Composite Structures     Hybrid Journal   (Followers: 291)
Computer-aided Civil and Infrastructure Engineering     Hybrid Journal   (Followers: 11)
Computers & Structures     Hybrid Journal   (Followers: 37)
Concrete Research Letters     Open Access   (Followers: 7)
Construction Economics and Building     Open Access   (Followers: 4)
Construction Engineering     Open Access   (Followers: 11)
Construction Management and Economics     Hybrid Journal   (Followers: 21)
Constructive Approximation     Hybrid Journal  
Curved and Layered Structures     Open Access   (Followers: 3)
DFI Journal : The Journal of the Deep Foundations Institute     Hybrid Journal   (Followers: 1)
Earthquake Engineering and Structural Dynamics     Hybrid Journal   (Followers: 17)
Enfoque UTE     Open Access   (Followers: 4)
Engineering Project Organization Journal     Hybrid Journal   (Followers: 7)
Engineering Structures     Hybrid Journal   (Followers: 13)
Engineering Structures and Technologies     Open Access   (Followers: 2)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 10)
Environmental Geotechnics     Hybrid Journal   (Followers: 5)
European Journal of Environmental and Civil Engineering     Hybrid Journal   (Followers: 10)
Fatigue & Fracture of Engineering Materials and Structures     Hybrid Journal   (Followers: 19)
Frontiers in Built Environment     Open Access   (Followers: 1)
Frontiers of Structural and Civil Engineering     Hybrid Journal   (Followers: 6)
Gaceta Técnica     Open Access  
Geomaterials     Open Access   (Followers: 3)
Geosystem Engineering     Hybrid Journal   (Followers: 2)
Geotechnik     Hybrid Journal   (Followers: 4)
Géotechnique Letters     Hybrid Journal   (Followers: 8)
GISAP : Technical Sciences, Construction and Architecture     Open Access  
HBRC Journal     Open Access   (Followers: 2)
Hormigón y Acero     Full-text available via subscription  
HVAC&R Research     Hybrid Journal  
Indonesian Journal of Urban and Environmental Technology     Open Access  
Indoor and Built Environment     Hybrid Journal   (Followers: 3)
Infrastructure Asset Management     Hybrid Journal   (Followers: 3)
Infrastructures     Open Access  
Ingenio Magno     Open Access   (Followers: 1)
Insight - Non-Destructive Testing and Condition Monitoring     Full-text available via subscription   (Followers: 30)
International Journal for Service Learning in Engineering     Open Access  
International Journal of 3-D Information Modeling     Full-text available via subscription   (Followers: 3)
International Journal of Advanced Structural Engineering     Open Access   (Followers: 17)
International Journal of Civil, Mechanical and Energy Science     Open Access   (Followers: 2)
International Journal of Concrete Structures and Materials     Open Access   (Followers: 15)
International Journal of Condition Monitoring     Full-text available via subscription   (Followers: 2)
International Journal of Construction Engineering and Management     Open Access   (Followers: 10)
International Journal of Engineering and Geosciences     Open Access  
International Journal of Geo-Engineering     Open Access   (Followers: 3)
International Journal of Geosynthetics and Ground Engineering     Full-text available via subscription   (Followers: 4)
International Journal of Masonry Research and Innovation     Hybrid Journal   (Followers: 1)
International Journal of Pavement Research and Technology     Open Access   (Followers: 6)
International Journal of Protective Structures     Hybrid Journal   (Followers: 6)
International Journal of Steel Structures     Hybrid Journal   (Followers: 2)
International Journal of Structural Engineering     Hybrid Journal   (Followers: 9)
International Journal of Structural Integrity     Hybrid Journal   (Followers: 2)
International Journal of Structural Stability and Dynamics     Hybrid Journal   (Followers: 7)
International Journal of Sustainable Built Environment     Open Access   (Followers: 5)
International Journal of Sustainable Construction Engineering and Technology     Open Access   (Followers: 8)
International Journal on Pavement Engineering & Asphalt Technology     Open Access   (Followers: 7)
International Journal Sustainable Construction & Design     Open Access   (Followers: 2)
Journal of Applied Research in Water and Wastewater     Open Access   (Followers: 1)
Journal of Bridge Engineering     Full-text available via subscription   (Followers: 13)
Journal of Building Engineering     Hybrid Journal   (Followers: 2)
Journal of Building Materials and Structures     Open Access   (Followers: 2)
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 6)
Journal of Civil Engineering     Open Access   (Followers: 1)
Journal of Civil Engineering and Construction Technology     Open Access   (Followers: 16)
Journal of Civil Engineering and Management     Open Access   (Followers: 7)
Journal of Civil Engineering and Science     Open Access   (Followers: 10)
Journal of Civil Engineering Research     Open Access   (Followers: 8)
Journal of Civil Engineering, Science and Technology     Open Access   (Followers: 1)
Journal of Civil Society     Hybrid Journal   (Followers: 5)
Journal of Civil Structural Health Monitoring     Hybrid Journal   (Followers: 4)
Journal of Composites     Open Access   (Followers: 78)
Journal of Composites for Construction     Full-text available via subscription   (Followers: 13)
Journal of Computing in Civil Engineering     Full-text available via subscription   (Followers: 23)
Journal of Construction Engineering     Open Access   (Followers: 9)
Journal of Construction Engineering and Management     Full-text available via subscription   (Followers: 17)
Journal of Constructional Steel Research     Hybrid Journal   (Followers: 6)
Journal of Earth Sciences and Geotechnical Engineering     Open Access   (Followers: 4)
Journal of Fluids and Structures     Hybrid Journal   (Followers: 6)
Journal of Frontiers in Construction Engineering     Open Access   (Followers: 2)
Journal of Green Building     Full-text available via subscription   (Followers: 10)
Journal of Highway and Transportation Research and Development (English Edition)     Full-text available via subscription   (Followers: 14)
Journal of Infrastructure Systems     Full-text available via subscription   (Followers: 19)
Journal of Legal Affairs and Dispute Resolution in Engineering and Construction     Full-text available via subscription   (Followers: 5)
Journal of Marine Science and Engineering     Open Access   (Followers: 1)
Journal of Materials and Engineering Structures     Open Access   (Followers: 5)
Journal of Materials in Civil Engineering     Full-text available via subscription   (Followers: 8)
Journal of Nondestructive Evaluation     Hybrid Journal   (Followers: 9)
Journal of Performance of Constructed Facilities     Full-text available via subscription   (Followers: 3)
Journal of Pipeline Systems Engineering and Practice     Full-text available via subscription   (Followers: 6)
Journal of Rehabilitation in Civil Engineering     Open Access   (Followers: 4)
Journal of Road and Traffic Engineering     Open Access  
Journal of Solid Waste Technology and Management     Full-text available via subscription   (Followers: 1)
Journal of Structural Engineering     Full-text available via subscription   (Followers: 36)
Journal of Structural Fire Engineering     Full-text available via subscription   (Followers: 6)
Journal of Structural Mechanics     Open Access   (Followers: 1)
Journal of Structures     Open Access   (Followers: 4)
Journal of Sustainable Architecture and Civil Engineering     Open Access   (Followers: 4)
Journal of Sustainable Design and Applied Research in Innovative Engineering of the Built Environment     Open Access   (Followers: 1)
Journal of the Civil Engineering Forum     Open Access   (Followers: 2)
Journal of the South African Institution of Civil Engineering     Open Access   (Followers: 2)
Journal of Water and Environmental Nanotechnology     Open Access  
Journal of Water and Wastewater / Ab va Fazilab     Open Access  
Jurnal Spektran     Open Access   (Followers: 1)
Jurnal Teknik Sipil     Open Access  
Jurnal Teknik Sipil dan Perencanaan     Open Access   (Followers: 1)
Konstruksia     Open Access  
KSCE Journal of Civil Engineering     Hybrid Journal   (Followers: 2)
Latin American Journal of Solids and Structures     Open Access   (Followers: 4)
Materiales de Construcción     Open Access   (Followers: 1)
Mathematical Modelling in Civil Engineering     Open Access   (Followers: 5)
Media Komunikasi Teknik Sipil     Open Access  
Mokslas – Lietuvos ateitis / Science – Future of Lithuania     Open Access  
Nondestructive Testing And Evaluation     Hybrid Journal   (Followers: 15)
npj Materials Degradation     Open Access  
Obras y Proyectos     Open Access   (Followers: 1)
Open Journal of Civil Engineering     Open Access   (Followers: 9)
Periodica Polytechnica Civil Engineering     Open Access  
Photonics and Nanostructures - Fundamentals and Applications     Hybrid Journal   (Followers: 4)
Practice Periodical on Structural Design and Construction     Full-text available via subscription   (Followers: 3)
Proceedings of the Institution of Civil Engineers - Bridge Engineering     Hybrid Journal   (Followers: 8)
Proceedings of the Institution of Civil Engineers - Civil Engineering     Hybrid Journal   (Followers: 14)
Proceedings of the Institution of Civil Engineers - Management, Procurement and Law     Hybrid Journal   (Followers: 10)
Proceedings of the Institution of Civil Engineers - Municipal Engineer     Hybrid Journal   (Followers: 2)
Proceedings of the Institution of Civil Engineers - Structures and Buildings     Hybrid Journal   (Followers: 3)
Promet : Traffic &Transportation     Open Access  
Random Structures and Algorithms     Hybrid Journal   (Followers: 5)
Recent Trends In Civil Engineering & Technology     Full-text available via subscription   (Followers: 5)
REDER : Revista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres     Open Access  
Research in Nondestructive Evaluation     Hybrid Journal   (Followers: 6)
Resilience     Open Access   (Followers: 1)
Revista de Investigación     Open Access  
Revista IBRACON de Estruturas e Materiais     Open Access   (Followers: 1)
Revista Sul-Americana de Engenharia Estrutural     Open Access  
Road Materials and Pavement Design     Hybrid Journal   (Followers: 11)
Russian Journal of Nondestructive Testing     Hybrid Journal   (Followers: 5)
Science and Engineering of Composite Materials     Hybrid Journal   (Followers: 61)
Selected Scientific Papers - Journal of Civil Engineering     Open Access   (Followers: 3)
Slovak Journal of Civil Engineering     Open Access   (Followers: 2)
Soils and foundations     Full-text available via subscription   (Followers: 5)
Steel Construction - Design and Research     Hybrid Journal   (Followers: 3)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 11)
Structural Concrete     Hybrid Journal   (Followers: 11)
Structural Control and Health Monitoring     Hybrid Journal   (Followers: 8)
Structural Engineering International     Full-text available via subscription   (Followers: 11)
Structural Mechanics of Engineering Constructions and Buildings     Open Access   (Followers: 1)
Structural Safety     Hybrid Journal   (Followers: 6)
Structural Survey     Hybrid Journal  
Structure     Full-text available via subscription   (Followers: 24)
Structure and Infrastructure Engineering: Maintenance, Management, Life-Cycle Design and Performance     Hybrid Journal   (Followers: 12)
Structures     Hybrid Journal   (Followers: 1)
Study of Civil Engineering and Architecture     Open Access   (Followers: 10)
Superlattices and Microstructures     Hybrid Journal   (Followers: 2)
Surface Innovations     Hybrid Journal  

        1 2 | Last

Journal Cover
Journal of Civil Structural Health Monitoring
Journal Prestige (SJR): 0.727
Citation Impact (citeScore): 2
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2190-5452 - ISSN (Online) 2190-5479
Published by Springer-Verlag Homepage  [2349 journals]
  • A finite-element model and experimental investigation of the influence of
           pre-straining of wire on the sensitivity of binary crack sensors
    • Authors: Farnaz Raeisi; Aftab Mufti; Douglas J. Thomson
      Pages: 673 - 687
      Abstract: Steel girder bridges make up a significant percentage of all bridges. Many of the steel girder bridges are aging and approaching their designed service lives. Crack formation and its propagation over time is one of the main deficiencies of aging steel girders and may result in unusable or unsafe service conditions. The existing distributed crack detection methods such as fiber optics sensors are costly to deploy and maintain. A new cost effective binary sensor has been developed, has the potential to be installed on steel girder bridges at a fraction of the cost, and is sensitive enough to detect the presence of a crack opening with a width of 0.2 mm. The crack sensor is a closed electrical circuit and comprised of copper wire and epoxy. When a crack forms in the steel girder, the strain will be transferred to the wire through the adhesive. As the crack on the girder widens over time, strains in the wire increase until it reaches its ultimate tensile strain. The wire then fractures and creates an open circuit. This can be detected by monitoring the electrical continuity of the sensor. One of the main challenges in developing the binary sensor is to select appropriate materials for both wire and adhesive. The final tensile strain as well as the bonding stiffness between the wire and the epoxy have important impacts on the performance of the sensor. In this work, pre-straining the sensor wire was found to be effective in minimizing the width of the detected crack opening. The average was reduced from 0.36 to 0.13 mm and the standard deviation reduced from 0.16 to 0.03. In addition, microbond test was carried on to estimate the interfacial-bonding stiffness between wire and epoxy. The interfacial stress was found to be approximately 2.0 MPa. These parameters were used in a finite-element model of the sensor to predict the behaviour of the binary sensor and, consequently, to optimize the installation position of the sensor on a girder of a bridge.
      PubDate: 2018-09-01
      DOI: 10.1007/s13349-018-0290-7
      Issue No: Vol. 8, No. 4 (2018)
       
  • Computing continuous load rating factors for bridges using structural
           health monitoring data
    • Authors: Hadi T. Al-Khateeb; Harry W. Shenton; Michael J. Chajes
      Abstract: One challenge to the wider adoption of structural health monitoring (SHM) in bridges is demonstrating the value added by the SHM system in maintenance and operation of the bridge to the owner. One way to do this is to use SHM systems and data to provide more accurate, frequent, and realistic live load ratings of a bridge, since the widely accepted load rating is the closest thing a bridge owner has today, to a “health” index of the structure. To address this need, a method has been developed that uses data from SHM systems in combination with conventional load rating equations, to compute continuous rating factors throughout the life of a bridge. The SHM-based ratings take into account slowly varying changes due to thermal effects and deterioration, as well as the actual in-service response due to live loads. The approach is demonstrated on Delaware’s 533-m cable-stayed Indian River Inlet Bridge. Continuous rating factors are computed and reported for periods of time and are compared to the AASHTO LRFR rating factors for the bridge. These rating factors are being used by the Delaware Department of Transportation to both assess the condition of the IRIB and to manage this important structure.
      PubDate: 2018-11-09
      DOI: 10.1007/s13349-018-0313-4
       
  • Heterogeneity detection of Portuguese–Brazilian masonries through
           ultrasonic velocities measurements
    • Authors: Esequiel Mesquita; Rachel Martini; André Alves; Larissa Mota; Tallis Rubens; Paulo Antunes; Humberto Varum
      Abstract: In this work, ultrasonic tests were carried out on the external walls of the Nossa Senhora do Rosário dos Pretos Church, an ancient masonry structure from XVIII century, placed at Aracati, Brazil. The main aim of this research is to characterize the ultrasonic velocities of the external walls of the church and identify the heterogeneity of the masonries; to assist furthers maintenance measures, as well to collect quantitative data about the state of conservation of the church. Ultrasonic results are, in general, difficult to analyze, especially due to the variability of the measures way. This way, a methodology to collecting the measures of indirect ultrasonic measurements was developed and it is presented in this paper. This methodology consists in a frame-by-frame comparative analysis of contour maps, obtained from systematic measures of ultrasonic pulse. The method allows the application of indirect ultrasonic measures to characterize clay bricks panels, as well allows the repeatability of further measures in the same points. The results show that ultrasonic tests can be applied for characterize walls homogeneity, offering useful information to control the maintenance or retrofitting measures.
      PubDate: 2018-11-01
      DOI: 10.1007/s13349-018-0312-5
       
  • Automated, strain-based, output-only bridge damage detection
    • Authors: Ahmed Rageh; Daniel G. Linzell; Saeed Eftekhar Azam
      Abstract: This paper presents a framework for automated damage detection using a continuous stream of structural health monitoring data. The study utilized measured strains from an optimized sensor set deployed on a double track, steel, railway, truss bridge. Stringer–floor beam connection deterioration, a common deficiency, was the focus of this study; however, the proposed methodology could be used to assess the condition of a wide range of structural elements and details. The framework utilized Proper Orthogonal Modes (POMs) as damage features and Artificial Neural Networks (ANNs) as an automated approach to infer damage location and intensity from the POMs. POM variations, which are traditionally input (load) dependent, were ultimately utilized as damage indicators. Input variability necessitated implementing ANNs to help decouple POM changes due to load variations from those caused by deficiencies, changes that would render the proposed framework input independent, a significant advancement. To develop an automated and efficient output-only damage detection framework, data cleansing and preparation were conducted prior to ANN training. Damage “scenarios” were artificially introduced into select output (strain) datasets recorded while monitoring train passes across the selected bridge. This information, in turn, was used to train ANNs using MATLABs Neural Net Toolbox. Trained ANNs were tested against monitored loading events and artificial damage scenarios. Applicability of the proposed, output-only framework was investigated via studies of the bridge under operational conditions. To account for the effects of potential deficiencies at the stringer–floor beam connections, measured signal amplitudes were artificially decreased at select locations. It was concluded that the proposed framework could successfully detect artificial deficiencies imposed on measured signals under operational conditions.
      PubDate: 2018-10-26
      DOI: 10.1007/s13349-018-0311-6
       
  • Experimental investigation of aerial–ground network communication
           towards geospatially large-scale structural health monitoring
    • Authors: Jianfei Chen; ZhiQiang Chen; Cory Beard
      Abstract: Recognizing the importance of realizing integrated remote sensing and structural monitoring for civil structures at a geospatially large scale, this paper first proposes a concept design toward developing an aerial–ground wireless sensing network (AG-WSN) system for improving the efficiency of systems-level structural health monitoring. Upon this design, this paper further investigates the communication interference within such sensing network, which if not understood would diminish the practical value of such a system. This interference arises because of the UAV’s and the WSN’s communication protocols, for which most UAVs use 2.4 GHz radio for flight control and Wi-Fi (802.11 b/g/n) for imagery data streaming, and the WSNs often use the low-power ZigBee 802.15.4 protocol at 2.4 GHz as well. With the development of the proposed AG-WSN prototype using commercially available products, this paper experimentally achieves two important findings: (1) the key parameters that affect the short-range Wi-Fi and ZigBee interference and the experimental relations; and (2) the ‘comfort zone’ and the sensitive parameters for the long-range optimal ZigBee transmission between the aerial UAV and the ground sensors.
      PubDate: 2018-10-17
      DOI: 10.1007/s13349-018-0310-7
       
  • MCrack-Dam: the scale-up of a method to assess cracks on concrete dams by
           image processing. The case study of Itaipu Dam, at the Brazil–Paraguay
           border
    • Authors: Jónatas Valença; Eduardo Júlio
      Abstract: Inspection and maintenance of civil infrastructures require structural assessment, usually performed based on the monitoring of critical sections. For concrete structures, the identification and characterization of the crack patterns is an important task to a rigorous evaluation of the structural performance. In the case of concrete dams, the timely detection and correction of structural problems can avoid major accidents. Despite the significance of crack monitoring and the recent innovations using image processing, the inspection of dams is usually simply based on visual inspections. This results in sketching crack patterns and also includes hand-held measurements, using crack width rulers and measuring tape. Thus, the development of automatic methods based on image processing to assess cracks in concrete dams has significant advantages. In this scope, most of the methods were applied in the laboratorial environment, and a gap to scale-up them to onsite assessment is clearly identified. In this paper, a method named MCrack-Dam, resulting from the scale-up of the method MCrack, previously developed and validated in controlled laboratorial conditions, is presented. The method is based on image processing and designed to automatically monitoring cracks in concrete dams. The MCrack-Dam relies on a predefined systematic acquisition of images: pre-processing those images for ortho-rectification; processing of the latter to identify and model cracks; and post-processing procedure to characterize the crack key parameters. The method was applied to a predefined region of the Itaipu Dam, at Brazil–Paraguay border. The results validate the ability of MCrack-Dam for performing a detailed characterization of cracks in concrete dams, not comparable to the traditional methods currently used. In addition, MCrack-Dam successfully works on surfaces with distinct features (‘noise’ for crack detection) such as drippings, sketched drawings, and smooth and rough textures, unlike other image processing methods when applied on ‘noise’ surfaces. Finally, the most relevant conclusions, and guidelines for the optimization of the exhaustive survey of the entire surface of the dam, are presented.
      PubDate: 2018-10-15
      DOI: 10.1007/s13349-018-0309-0
       
  • Structural identification and evaluation for SHM applications
    • Authors: T. H. T. Chan; Jun Li; Colin Caprani
      Abstract: Optimal condition monitoring, maintenance and management of the existing civil infrastructure have been identified as a critical factor in ensuring and raising the economic productive capacity. Direct in-service structural health monitoring and vibration behaviour measurement data are essential to provide more accurate performance assessment and capacity estimation. The main focus of this special issue, organised by Australian Network of Structural Health Monitoring (ANSHM), is to present recent developments and applications of innovative techniques for structural modelling, structural identification with uncertainties, data interpretation for structural performance prediction and reserve capacity evaluation.
      PubDate: 2018-09-27
      DOI: 10.1007/s13349-018-0308-1
       
  • An impedance-based structural health monitoring approach for looseness
           identification in bolted joint structure
    • Authors: S. K. Samantaray; S. K. Mittal; P. Mahapatra; S. Kumar
      Abstract: The task of structural safety has been always vital throughout the life span of a structure. The situation deteriorates, when it is subject to repeated loading as seen in cases of railway joints. Generally, the bolted joints are frequently used connections for mainteinance of structural integrity. The most common type of fault observed in bolted joints is looseness of the nuts and bolts which leads to a damaging change by contact pressure that may cause an untoward incident. To avoid such incidents, it is required to monitor the bolted joints very meticulously and regularly. This study presents an investigational work for the looseness assessment of bolted butt joint structure using glued piezoelectric transducer and the implementation of an analytical approach based on the electro-mechanical impedance (EMI) method. For the purpose of investigation, the experiments are being conducted in pristine condition of the structure, wherein the plate bars and girder beam are bolted with four similar bolts without being pressed adequately and no part of the joint is glued. The test measurement of undamaged state and loosed state has been conducted using impedance-based monitoring approach. To study the effectiveness of the proposed method, an experimental investigation is conducted using the impedance chip AD5933 on a bolted joint structure. The results provide cogent indication about the use of piezoelectric lead zirconate titanate sensor based on EMI method for monitoring the status of the bolted joint structures.
      PubDate: 2018-09-26
      DOI: 10.1007/s13349-018-0307-2
       
  • Automated long-term dynamic monitoring using hierarchical clustering and
           adaptive modal tracking: validation and applications
    • Authors: Giacomo Zonno; Rafael Aguilar; Rubén Boroschek; Paulo B. Lourenço
      Abstract: Historical buildings demand constant surveying because anthropogenic (e.g., use, pollution or traffic vibration) and natural or environmental hazards (e.g., environmental changes or earthquakes) can endanger their existence and safety. Particularly, in the Andean region of South America, earthen historical constructions require special attention and investigation due to the high seismic hazard of the area next to the Pacific coast. Structural Health Monitoring (SHM) can provide useful, real-time information on the condition of these buildings. In SHM, the implementation of automatic tools for feature extraction of modal parameters is a crucial step. This paper proposes a methodology for the automatic identification of the structural modal parameters. An innovative and multi-stage approach for the automatic dynamic monitoring is presented. This approach uses the Data-Driven Stochastic Subspace Identification method complemented by hierarchical clustering for automatic detection of the modal parameters, as well as an adaptive modal tracking procedure for providing a clear visualization of long-term monitoring results. The proposed methodology is first validated in data acquired in an emblematic sixteenth century historical building: the monastery of Jeronimos in Portugal. After proving its efficiency, the algorithm is used to process almost 5000 events containing data acquired in the church of Andahuaylillas, a sixteenth century adobe building located in Cusco, Peru. The results in these cases demonstrate that accurate estimation of predominant modal parameters is possible in those complex structures even if relatively few sensors are installed.
      PubDate: 2018-09-19
      DOI: 10.1007/s13349-018-0306-3
       
  • Robust model updating methodology for estimating worst-case load capacity
           of existing bridges
    • Authors: Didier G. Vernay; François-Xavier Favre; Ian F. C. Smith
      Abstract: High-value infrastructure elements, such as bridges, are typically over-designed. Model updating techniques are useful for estimating the reserve load capacity (beyond safety factors) of bridges and this improves sustainability through good asset management decision making. In these approaches, measurement data are used to infer model parameter values that influence behaviour. Several approaches have been proposed for structural model updating. Population approaches, such as Bayesian updating, reflect the intrinsically ambiguous nature of diagnosis as well as a range of uncertainty sources. However, many do not consider bias in model formulations, which results in biased identification of parameter values and subsequent predictions. Also, discrete sampling methods may be too coarse to be able to identify critical parts of the population where worst case reserve capacity is determined. In this paper, a new methodology is proposed to update models of structural systems using measurements. This methodology has been employed to identify the most critical set of parameter values for the bending ultimate limit state (ULS) verification and the serviceability limit state (SLS) verification of an existing reinforced concrete bridge after gaining information from measurements. This methodology is based on the error-domain model falsification approach, in which measurements are used to falsify models rather than calibrate them. Through a full-scale case study, it is shown that the new methodology is able to provide a parameter value set that is more accurate for ULS and SLS verification than those identified with residual minimization. Furthermore, it is shown that residual minimization (traditional curve fitting) may result in unsafe estimates of reserve capacity.
      PubDate: 2018-09-11
      DOI: 10.1007/s13349-018-0305-4
       
  • System identification and model updating of highway bridges using ambient
           vibration tests
    • Authors: Ardalan Sabamehr; Chaewoon Lim; Ashutosh Bagchi
      Abstract: Vibration-based structural health monitoring (SHM) has received significant attention in the past. Due to the existence of some defect of implementation, the measured response of a structure and the response from its finite element model may not match. There are a number of methods available for updating the Finite Element (FE) model of a structure such that the response calculated from the model agrees with field measurements, and identifying the system parameters like stiffness and mass based on dynamic response of the structure. These methods are categorized into physics based and data driven. In this study, the FE models of a 16-span Pre-Stress Concrete Box (PSCB) girder bridge with the total length of 780 m, a 3-span Void Slab Bridge with the total length is of 65 m, and a Steel Box (STB) with 380 m length and 12 m width, with 8 spans of equal length of 47.5 m bridge are constructed and updated using the measured vibration data. The objective of this study is to identify the system properties of the bridges using physics-based and data-driven methods and update the corresponding models using the data from ambient vibration tests and determine the efficacy of each method. A well-known and effective physics-based method, the matrix update method, is used for correlating the models by solving the relevant inverse problem through constrained optimization. In data-driven methods, the Neural Network and Genetic Algorithms are applied to find the correlations between the structural frequencies and changes in the sectional properties of the bridge segments. The outputs of these models are compared with certain target frequencies based on the measured data in order to adjust the section properties of the bridge elements. It is found that while the physics-based method has a better performance than the data-driven model in identifying the modal properties, the physics-based model is difficult to implement and there is a need for developing a hybrid method to achieve a better result.
      PubDate: 2018-09-04
      DOI: 10.1007/s13349-018-0304-5
       
  • Cable force monitoring and prediction for cable group of long-span
           cable-supported bridges
    • Authors: Jialin Dong; Xin Yan; Shunlong Li
      Abstract: Cable force monitoring is an essential and critical part of structural health monitoring for long-span cable-supported bridges. Considering economical and efficient issues, the accuracy and quality of safety assessment depend considerably on a reasonable cable-monitoring scheme, especially the number and locations of limited sensors. This paper presents the optimal sensor placement for cable force monitoring and cable force prediction in non-sensor positions with optimal sensor arrangement. Bond-energy algorithm was used to obtain optimal sensor placement strategy, where mutual information was employed to describe the inherent spatial correlation of cable group. To maximize useful cable force information of cable group utilizing from optimal sensor arrangement, particle-swarm optimization-based Kernel Extreme Learning Machine model was employed for forecasting cable forces in non-sensor positions. The analysis results illustrated that the proposed kernel extreme learning machine can achieve better predictive performance than multiple linear regression model and multiple adaptive spline regression model with higher accuracy and generalization. The cable force monitoring and prediction with notable decrease of sensor number lays a comprehensive basis for bridge safety assessment and verified the effectiveness of the proposed method.
      PubDate: 2018-08-22
      DOI: 10.1007/s13349-018-0301-8
       
  • Thermal performance analysis of a long-span suspension bridge with
           long-term monitoring data
    • Authors: Qi Xia; Liming Zhou; Jian Zhang
      Abstract: Thermal performance analysis such as calculating thermal stress from monitoring data is important for structural safety evaluation. These temperature characteristics of long-span bridges are more complicated due to their temperature distribution, structural configuration and boundary conditions. In this study, the method of structural thermal performance analysis is proposed by processing and analyzing the long-term monitoring data and it is applied to study the thermal and mechanical behavior of a long-span suspension bridge under daily operating conditions. First, statistical analysis of strain data and temperature data is performed on the main girder. Second, thermal analysis and temperature-induced stress calculation are proposed, in which the different kinds of thermal loads including uniform temperature, linear/nonlinear temperature gradient and partial constraints in axial/rotation directions are considered. Other parameters such as restrained stiffness, deformation, etc., are derived. Third, the proposed method is verified and used in the temperature-induced stress calculation on the studied bridge.
      PubDate: 2018-08-20
      DOI: 10.1007/s13349-018-0299-y
       
  • Composite panel structural health monitoring and failure analysis under
           compression using acoustic emission
    • Authors: L. Michalcová; P. Bělský; L. Petrusová
      Abstract: This paper documents an application of the acoustic emission (AE) method for structural health monitoring (SHM) of an integrally stiffened composite panel. The panel consists of a skin and two T-stringers and represents a typical part of the wing or fuselage structure. Similar design is used in civil structure parts. Quasi-static loading under compression was carried out to determine the initiation of the buckling modes. Two pieces of integral panels were tested up to failure. Both panels were monitored using 9 AE sensors in the same configuration throughout the test. The final stage of the test was recorded with a high-speed camera to obtain a detailed view of failure development. The velocity of the propagated AE elastic waves was determined experimentally before the test based on the best match of the computed and real positions of the Hsu–Nielsen sources. The determined velocity was subsequently used for AE source localization during the compression test. Different failure mechanisms were directly linked to different sources of AE using cluster analysis. Visualization of the AE location clusters was performed via the Kernel density estimation. High-speed camera images confirmed that the location of failure corresponds with the localization of a specific cluster of AE events. The AE method demonstrated the detection capability of the critical spot at 87% of the panel strength in compression. In conclusion, AE is suitable as an SHM method for damage monitoring of aerospace composite structures as well as for applications in civil structures.
      PubDate: 2018-08-17
      DOI: 10.1007/s13349-018-0302-7
       
  • Scour depth estimation in a balanced cantilever bridge with deteriorated
           central hinges based on natural frequencies: field measurements,
           methodology for estimation and verification
    • Authors: M. S. I. Choudhury; Y. Matsumoto; A. F. M. S. Amin
      Abstract: A scheme based on field measurements of vibrations is proposed for estimating the scour depths of a multi-span balanced cantilever bridge resting on foundations embedded in soft soil. Field measurements of ambient vibrations using velocity sensors indicated elongated periods of vibration in the transverse direction at the pier tops due to scour underneath. The modal properties were identified using the Eigensystem Realization Algorithm. The unknown spring constants of the central hinges were determined to represent the deteriorated performance of the bridge superstructure under no-scour benchmark conditions from a finite element model incorporating soft soil conditions. A single set of spring constants compatible with the measured natural frequencies was thus identified for the transverse movement of the central hinges. The strong dependence of the transverse bending mode of the pier and weak dependence of the longitudinal bending mode of the pier on scour phenomena were clearly observed. The observed relationships between the scour depth and natural frequency were sensitive to soft soil conditions in both modes. The estimated spring constants representing soft soil were used to assess the unknown scour depths in the pier foundations suffering from scour. Independent bathymetric surveys verified the general applicability of the proposed scheme for estimating the scour depths around bridges of this type within reasonable limits.
      PubDate: 2018-08-14
      DOI: 10.1007/s13349-018-0300-9
       
  • Crack detection in prestressed concrete structures by measuring their
           natural frequencies
    • Authors: G. D. Ercolani; D. H. Felix; N. F. Ortega
      Abstract: When inspecting the health of a civil structure, it is important to have efficient techniques to detect the possible presence of structural damage. This work deals with the detection of damage in prestressed concrete structures, which are widely used in road bridges and long span slabs, among others. Concrete structures can be affected by different pathologies, with the transverse cracks beingone of the most dangerous damages, since they involve a localized reduction of the flexural rigidity of the structure. Such cracks change both the static and dynamic behavior of the structure. In this paper, an inverse method of damage detection is applied on two experimental beams built in the laboratory, from the measurement of the first three natural frequencies of vibration. An algorithm for solving the system of equations has been developed by the authors. Explicit equations were obtained to calculate both the crack position and its depth. The predicted damages by the algorithm have been in good agreement with the real damages of the experimental models. An important aspect of this methodology for crack detection is the simplicity of its experimental implementation.
      PubDate: 2018-08-01
      DOI: 10.1007/s13349-018-0295-2
       
  • Transmissibility-based damage detection using angular velocity versus
           acceleration
    • Authors: Samer Al-Jailawi; Salam Rahmatalla
      Abstract: This work presents a new damage-detection approach for structural systems that uses the transmissibility and coherence functions of the output angular velocity between two points on the structure, at locations where damage may occur, to generate a damage index as a metric of the changes in the dynamic integrity of the structure. The efficacy of the proposed damage index as compared to that based on the traditional transmissibility of acceleration was tested on straight beams. The experimental and numerical results showed that the new damage index outperformed that based on acceleration by multiple levels in terms of detecting and localizing damage. The experimental results also showed that the proposed damage index using gyroscopes was much less sensitive to the environmental acoustic noises under consideration (65–85 dB) when compared with the damage index based on the acceleration.
      PubDate: 2018-07-26
      DOI: 10.1007/s13349-018-0297-0
       
  • Experimental and numerical dynamic structural analysis of footbridges when
           subjected to pedestrians walking loads
    • Authors: Irwing Aguiar Ribeiro da Silva; José Guilherme Santos da Silva
      Abstract: This research work aims to investigate the dynamic structural behaviour and assess the human comfort of footbridges, when subjected to pedestrian walking, based on experimental tests and tuning of finite element model. This way, the test structure is related to a real pedestrian footbridge, located at the Osvaldo Aranha Street, route of great importance and so very heavy traffic of vehicles along the day, next to the new Maracanã Stadium, in the city of Rio de Janeiro/RJ, Brazil. The investigated footbridge presents two spans with length equal to 29.5 and 24 m, respectively, and a total length of 53.5 m. Initially, to identify and assess the global dynamic structural behaviour of the structural model an operational modal analysis (OMA) was performed on the investigated footbridge. After that, several forced vibration tests were performed on the footbridge, considering the pedestrians walking with different step frequencies. In sequence, a finite element model was developed based on the ANSYS computational program. This model was used for the calibration of results, obtained based on the footbridge experimental monitoring. Finally, a human comfort assessment was performed, based on the comparisons between the results (peak accelerations), of the dynamic experimental monitoring and the recommendations provided by design guides HIVOSS and SÉTRA.
      PubDate: 2018-07-10
      DOI: 10.1007/s13349-018-0294-3
       
  • Structural health monitoring techniques implemented on IASC–ASCE
           benchmark problem: a review
    • Authors: Swagato Das; Purnachandra Saha
      Abstract: Various structural health monitoring techniques have been developed over the years. Due to the lack of a common platform to test the efficiency of these methods, the damage analysis models have been tested on different structures selected according to the choice of researches. Therefore, perfect comparison among the models was not possible. In light of this event, a benchmark structure was developed providing a common ground to analyse the effectiveness of the damage detection strategies. This structural damage analysis consists of different damage patterns, major damages and minor damages. The damage detection algorithms were tested for the detection of these different damage patterns and the effectiveness against noise contamination. Also the amount of data required for the algorithms to effectively detect damage was also recorded, which indicated the efficiency of the method applied. The paper deals with the application of different damage detection techniques on the ASCE benchmark Phase-I and Phase-II structure and studies their efficiency against the other structures. A brief comparison has been made among different damage detection models such as Bayesian model, neural network, autoregressive models, and model update. These methods have been successfully implemented on the benchmark structure and their efficiencies have been measured in terms of noise contamination, the amount of data required to measure the damage and the detection of damage (major and minor). Out of all the techniques discussed, model update technique, wavelet approach, autoregressive technique, convolution neural network and synchrosqueezed wavelet transform have proved to a robust damage analysing tool.
      PubDate: 2018-07-02
      DOI: 10.1007/s13349-018-0292-5
       
  • Study on the dynamic properties of a suspended bridge using monocular
           digital photography to monitor the bridge dynamic deformation
    • Authors: Guojian Zhang; Guangli Guo; Long Li; Chengxin Yu
      Abstract: This study makes use of monocular digital photography, based on the IM-STBP (image matching-space time baseline parallax) method, to monitor bridge dynamic deformation to study bridge dynamic properties. A bridge was first photographed when traffic light was red (i.e., when the bridge was not influenced by dynamic vehicle load) to generate the zero image (a.k.a. the reference image), and then photographed every 3 s when the traffic light was green (i.e., when the bridge was influenced by dynamic vehicle load) to produce image sequences as successive images. Relative deformation values of deformation points were obtained based on the IM-STBP method. The results show that the measurement accuracy of the IM-STBP method reaches a sub-pixel level (0.445, 0.470 and 0.705 pixels in the X, Z and comprehensive directions, respectively) and that maximal deflections of the bridge monitored by cameras 1 and 3 (37.22 and 47.40 mm, respectively) are within bridge deflection tolerance (75 mm). The monocular digital photography presented in this study has proved effective in monitoring bridge dynamic deformation even when the photographing direction is not perpendicular to the bridge plane and useful in assessing the situation of a bridge by monitoring the instantaneous dynamic global deformation of a bridge when the traffic light is green. Deformation curves in real time can also provide warning of any possible danger on the bridge. These global deformation curves of a bridge play a key role in studying the dynamic properties of a bridge influenced by dynamic vehicle load.
      PubDate: 2018-07-02
      DOI: 10.1007/s13349-018-0293-4
       
 
 
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