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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted alphabetically
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Annals of Applied Statistics     Full-text available via subscription   (Followers: 37)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Argumentation et analyse du discours     Open Access   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 12)
Biometrical Journal     Hybrid Journal   (Followers: 6)
Biometrics     Hybrid Journal   (Followers: 49)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 19)
Building Simulation     Hybrid Journal   (Followers: 2)
CHANCE     Hybrid Journal   (Followers: 5)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 10)
Computational Statistics     Hybrid Journal   (Followers: 17)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 38)
Current Research in Biostatistics     Open Access   (Followers: 9)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 14)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Extremes     Hybrid Journal   (Followers: 2)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 9)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 3)
Handbook of Statistics     Full-text available via subscription   (Followers: 8)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 19)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
International Statistical Review     Hybrid Journal   (Followers: 11)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 17)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 41, SJR: 3.664, CiteScore: 2)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Econometrics     Hybrid Journal   (Followers: 85)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 8)
Journal of Forecasting     Hybrid Journal   (Followers: 21)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 7)
Journal of Probability and Statistics     Open Access   (Followers: 11)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 35)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 8)
Journal of Statistical Software     Open Access   (Followers: 19, SJR: 13.802, CiteScore: 16)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 77, SJR: 3.746, CiteScore: 2)
Journal of the Korean Statistical Society     Hybrid Journal   (Followers: 1)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 37)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 31)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 43)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 18)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 28)
Law, Probability and Risk     Hybrid Journal   (Followers: 8)
Lifetime Data Analysis     Hybrid Journal   (Followers: 5)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Metrika     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 4)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 9)
Optimization Letters     Hybrid Journal   (Followers: 2)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 35)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 10)
Queueing Systems     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 8)
Review of Economics and Statistics     Hybrid Journal   (Followers: 281)
Review of Socionetwork Strategies     Hybrid Journal  
Risk Management     Hybrid Journal   (Followers: 16)
Sankhya A     Hybrid Journal   (Followers: 3)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Sequential Analysis: Design Methods and Applications     Hybrid Journal   (Followers: 1)
Significance     Hybrid Journal   (Followers: 6)
Sociological Methods & Research     Hybrid Journal   (Followers: 49)
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Stata Journal     Full-text available via subscription   (Followers: 9)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Statistical Methods and Applications     Hybrid Journal   (Followers: 5)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 23)
Statistical Modelling     Hybrid Journal   (Followers: 18)
Statistical Papers     Hybrid Journal   (Followers: 4)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Statistics and Economics     Open Access  
Statistics in Medicine     Hybrid Journal   (Followers: 144)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 11)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
TEST     Hybrid Journal   (Followers: 3)
The American Statistician     Full-text available via subscription   (Followers: 25)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)

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Similar Journals
Journal Cover
Structural and Multidisciplinary Optimization
Journal Prestige (SJR): 1.458
Citation Impact (citeScore): 3
Number of Followers: 12  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1615-1488 - ISSN (Online) 1615-147X
Published by Springer-Verlag Homepage  [2468 journals]
  • Stress-constrained optimization of multiscale structures with
           parameterized microarchitectures using machine learning

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      Abstract: Abstract A multiscale topology optimization framework for stress-constrained design is presented. Spatially varying microstructures are distributed in the macroscale where their material properties are estimated using a neural network surrogate model for homogenized constitutive relations. Meanwhile, the local stress state of each microstructure is evaluated with another neural network trained to emulate second-order homogenization. This combination of two surrogate models — one for effective properties, one for local stress evaluation — is shown to accurately and efficiently predict relevant stress values in structures with spatially varying microstructures. An augmented lagrangian approach to stress-constrained optimization is then implemented to minimize the volume of multiscale structures subjected to stress constraints in each microstructure. Several examples show that the approach can produce designs with varied microarchitectures that respect local stress constraints. As expected, the distributed microstructures cannot surpass density-based topology optimization designs in canonical volume minimization problems. Despite this, the stress-constrained design of hierarchical structures remains an important component in the development of multiphysics and multifunctional design. This work presents an effective approach to multiscale optimization where a machine learning approach to local analysis has increased the information exchange between micro- and macroscales.
      PubDate: 2024-06-08
       
  • A novel adaptive sampling strategy for the Kriging surrogate-based control
           co-design method in the dynamic system

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      Abstract: Abstract When solving the physical-control collaborative optimization problem, referred to as control co-design (CCD) problem, in dynamic system, it is inevitable to encounter the simulation model with computationally expensive state equation, leading to the inefficiency in extracting the Jacobian information of state equation and inefficiency of gradient-based CCD optimizer. Therefore, this work introduces an adaptive Kriging surrogate-based CCD method, in which the Jacobian information of state equation for the gradient-based optimizer is calculated by the time-saving Kriging model instead of the time-consuming original simulation model. More importantly, the feasibility of the surrogate-based CCD method is analyzed theoretically, and on the ground of the analysis, a novel adaptive sampling strategy based on distance clustering and maximum predictor errors, named DCMPE, is presented to assist the Kriging technique in approximating the state equation. Finally, three examples illustrate that the adaptive Kriging surrogate-based CCD method combined with DCMPE not only solves the CCD problems efficiently, but also provides a more accurate CCD solution with less computational effort compared to existing surrogate-based methods.
      PubDate: 2024-06-07
       
  • Topology optimization design of frequency- and temperature-dependent
           viscoelastic shell structures under non-stationary random excitation

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      Abstract: Abstract This paper investigates the topology optimization design of viscoelastic planar shell structures to minimize the random vibration intensity under non-stationary random excitation. The excitation is is modeled as uniformly modulated evolutionary random process. The viscoelastic material is characterized using the Golla Hughes McIavish (GHM) model, and dissipative coordinates are introduced to construct the augmented system equations. To measure the intensity of random responses, the averaged power spectral density (PSD) of the displacement response over a specific frequency band and time interval is considered as the design objective and solved by a scheme that combines the pseudo excitation method (PEM) and the high precision direct (HPD) integration method. The relative density of the viscoelastic material is the design variable. The density-based approach is employed to achieve the optimal distribution. Sensitivity analysis is performed to obtain gradient information. The proposed method is verified through numerical simulation. In addition, the effects of frequency band, time interval, ambient temperature and multiple excitations on the optimization results are also discussed.
      PubDate: 2024-06-07
       
  • Layout optimization of truss structures by an improved Prairie Dog
           algorithm integrated with a monitored convergence curve

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      Abstract: Abstract This paper proposes a novel improved prairie dog optimization algorithm integrated with a convergence curve monitoring frame (M-IPDO) for truss optimization. Three measures are used to improve the prairie dog optimization (PDO): Firstly, the initialization process of the algorithm is improved based on quasi-opposition learning and quasi-reflection learning to expand the scope of global search and improve the quality of the initial solution. Secondly, the position updating formulas in the second and fourth stages are modified to improve the precision of local search and avoid long-term stagnation of the algorithm. Finally, the gene pool mechanism is introduced to improve the population diversity and the ability to jump out of the local optimal. In addition, the convergence curve monitoring framework is integrated into the improved PDO algorithm to improve its optimization stability and reduce its calculation cost. The proposed algorithm has been successfully applied to the size and layout optimization of three different truss structures, and the results show that M-IPDO has higher solving accuracy and stronger optimization stability than other several latest algorithms.
      PubDate: 2024-06-04
       
  • Crashworthiness analysis and multi-objective optimization of a novel
           metal/CFRP hybrid friction structures

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      Abstract: This paper introduces a new hybrid friction energy-absorbing structures (HFEAS), which is consisting of a bearing bush, an anti-creeper device, a pretension bolt, a friction plate, and friction metal/CFRP tubes have been designed in the paper. The friction coefficient of raw material of CFRP was determined by the MM 3000 friction testing machine and a finite element model of HFEAS was established. Experimental verification of the finite element model was conducted, as well as a study of the influence of structural parameters on crashworthiness. By analyzing the parametric influence, the pre_force (P_F) has the largest influence on the HFEAS, followed by diameter (D) and stell_thickness (S_t), pre_length (P_L) and layer_number (L_n). In particular, the peak force increased by 8 times and the platform force was 15 times higher than origin, when P_F increases from 1 to 21 kN; Overall, the HFEAS combines the recycling and tribological characteristics of composite materials, offering a new direction for the iterative upgrading and development of energy-absorbing structures. Graphical abstract
      PubDate: 2024-05-28
       
  • Topology and build orientation optimization for additive manufacturing
           considering build height and overhang area

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      Abstract: Abstract Simultaneous topology and build orientation optimization approaches aim to reduce the cost of additive manufacturing components by minimizing or eliminating overhanging surfaces and support structure volume. However, current methods do not consider build height, which influences additive manufacturing printing time and can vary significantly based on orientation. This paper presents a topology and build orientation optimization approach that considers both overhanging area and build height during optimization to more accurately model additive manufacturing cost. Gradient-based optimization is performed using a novel build height calculation method and an overhang area formulation that is applicable to additive manufacturing processes that print either on a raft or directly on the build plate. A technique is proposed to automatically initialize build orientation design variables to avoid poor convergence behavior. The functionality of the approach is verified on three 3D academic models, with optimization results highlighting a clear trade-off between overhang area and build height. Slicer verification of optimized results yielded up to a 27% reduction in print time for fused deposition modeling by simultaneously considering overhang area and build height rather than only optimizing for overhang area.
      PubDate: 2024-05-28
       
  • Topology optimisation of steel connections under compression assisted by
           physical and geometrical nonlinear finite element analysis and its
           application to an industrial case study

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      Abstract: The application of Topology Optimisation (TO) to help in the manufacture of metallic components in highly technological industries has increased recently. To equally benefit from TO, the construction industry must address its specific issues, such as adherence to code requirements and challenges in using cutting-edge software packages in complex joints with non-linear behaviour. To assist in such a challenge, the current study offers a methodology proposal to synthesise code and structural behaviour requirements into geometrical constraints for the optimisation problem of laminar steel parts under compression while integrating Non-linear Finite Element Analyses (NLFEA) that ensure the safety of the solution. It has been found that, for a real case-study, the initial volume of a connection’s cover-plate can be decreased by up to 40% while maintaining the connection's original capacity and that a 30% volume decrease may be achieved while keeping the original plate capacity. In both cases, the plate’s ultimate deformation capacity was enhanced. Evidence has been found that Linear Elastic TO may not provide safe-sided solutions for parts with an intrinsic non-linear behaviour. With the attained volume reductions, less raw materials may be consumed, assembly and transportation will be facilitated, and the goals of the sector’s decarbonisation, energy intensity and sustainability will be favoured. Graphical abstract
      PubDate: 2024-05-27
       
  • Digital twin technology for continuously welded turnout on high-speed
           railway bridges based on improved MOPSO algorithm

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      Abstract: Abstract The high-speed railway (HSR) in China has entered the stage of large-scale operation, and there is an urgent need for the intelligent and refined management of track structures. However, due to operating requirements and railroad clearance of HSR, it is difficult to fully grasp the service status of track structures in real time. The digital twin theory, which emphasizes the interconnection of physical and virtual worlds, provides a novel perspective for managing track structures. Therefore, this study proposes using digital twin technology to evaluate the status of track structures, specifically focusing on the continuously welded turnout (CWT) on HSR bridges. Via the refined finite element method (FEM), a virtual entity (VE) model is established to mirror the behavior and status of the physical entity (PE), a continuously monitored CWT on the Beijing-Shanghai High-speed Railway. To ensure an efficient and accurate mapping relationship between VE and PE, an improved MOPSO algorithm based on the surrogate model technique and global ranking criterion has been developed. The proposed method is applied to evaluate the performance evolution and damage status of the CWT. The results demonstrate good consistency with insitu manual inspections, suggesting that this method can accurately locate local defects in track structures, assisting in efficiently managing HSR.
      PubDate: 2024-05-27
       
  • Three-dimensional Darcy’s reduced-order isogeometric shape
           optimization for cooling channels

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      Abstract: Abstract This paper presents a shape optimization for the three-dimensional cooling channel with high Reynolds number flow and strong convection heat transfer based on isogeometric analysis (IGA). Meanwhile, the applicability conditions of Darcy’s potential flow, which is an approximate liner flow, are introduced to solve the heat-flow coupling problem. We call this method Darcy reduced-order isogeometric analysis (DRIGA). The volume parametric model is constructed by using the segmentation–mapping–merging mechanism of design features, and the model can be directly analyzed by IGA without data conversion and to eliminate discrete errors. The calculation formulas for DRIGA are derived. Then, a DRIGA-based shape optimization is achieved by applying the sensitivity analysis method with the average temperature as the objective function, the location coordinates of the fluid–solid boundary control points as the design variables, and the percentage of fluid volume and the pressure drop as the constraints. Several examples of approximate water-cooling devices show that our method can accurately describe the heat-flow coupling problem in the case of a narrow channel with a high flow velocity. The analytical results are in general agreement with those of the finite element convection–diffusion analysis, and the shape optimization results show that the average temperature is reduced, which proves the correctness of the method.
      PubDate: 2024-05-27
       
  • An efficient optimization method for transcendental eigenvalue problems
           based on mode count constraints and heuristic algorithm

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      Abstract: Abstract An efficient, robust, and versatile optimization method (DSM-MCC-HA) is proposed for transcendental eigenvalue problems by combing the advantages of the dynamic stiffness method (DSM), mode count constraint (MCC), and heuristic algorithm (HA). The DSM is used to model free vibration, or buckling or wave propagation eigen problems exactly with very few DoFs leading to efficient computation; moreover, material and geometry are parameters in the analytical DSM models. The monotonically increasing integer-valued mode count based on the Wittrick–Williams algorithm is directly used as the constraint, and there is no need to compute the eigenvalues through dichotomy, which significantly reduces the computational time and meanwhile guarantees the robustness. Heuristic algorithms are adopted as the optimization algorithm resulting in global optima, where the differentiability of the mode count constraint is not required. The proposed method is sufficient general to be applied to different eigenvalue optimization problems, such as lightweight optimization with eigenvalue constraints, band gap constraints or specified eigenvalue(s), maximization of eigenvalue or band gaps with mass constraint, etc.. Difficulties of repeated frequencies, localized modes, and eigenmode switching are not involved. Beam (plane frame) and plate (corrugated sandwich panel) built-up structures are adopted as examples to demonstrate the efficiency, robustness, and versatility of the proposed method.
      PubDate: 2024-05-27
       
  • Topology optimization with a parametric level set method for double
           porosity poroelastic sound-absorbing structures

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      Abstract: Abstract The mesoscopic pores of double-porosity media are usually designed to enhance the pressure diffusion effect to improve sound absorption. In this paper, a topology optimization model with a parametric level set method for double-porosity structures is developed to design the distribution of mesoscopic pores for maximizing sound absorption. The sound propagation in poroelastic media is described by the Biot-Allard theory, and the sound absorption is obtained by the power balance approach. Structure boundaries during optimization are traced by a parametric level set method. A distance regularization term is added to the objective function to ensure the numerical stability. Numerical examples in 2D waveguides are given to verify the model, and the effects of initial designs and distance regularization on the optimized configuration are discussed. We find that with the target over a wide frequency range, the strengthening of frame elastic effect during the optimization process is accurately described by the power balance approach and demonstrates the advantage of the poroelastic model for topology optimization over the equivalent fluid model.
      PubDate: 2024-05-27
       
  • Crashworthiness design of an automotive S-rail using ANN-based
           optimization to enhance performance and safety

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      Abstract: Abstract The automotive S-rail plays a crucial role in frontal car crashes, aiming to absorb impact energy and reduce passenger injury. This paper innovatively presents an optimization approach to determine the optimal configuration of an S-rail featuring a tapered, multicell front section. The structural design of the S-rail is conceptualized within the design space of a heavy quadricycle vehicle and subsequently subjected to numerical investigation through LS-DYNA using nonlinear explicit dynamics analyses. The objective is to maximize energy absorption while minimizing the S-rail's initial peak force (IPF) and mass. An artificial neural network (ANN) is employed to construct surrogate models for the optimization process. The non dominated sorting genetic algorithm, integrated with the ANN, yields an optimal S-rail design. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, using the mean weighting method on the Pareto frontier optimal solution set, is appropriately applied to select the optimal solution. The optimized S-rail shows improved specific energy absorption compared to the baseline model while maintaining a low IPF. In conclusion, this study highlights the superior predictability of an ANN over conventional quadratic response surface methodology. The results confirm the effectiveness of the ANN-based optimization approach and the selection of a compromise solution using the TOPSIS technique. The proposed procedure has substantial potential to enhance the safety and performance of automotive S-rails.
      PubDate: 2024-05-27
       
  • Topology optimization with beam features of variable cross-sections

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      Abstract: Abstract Beam features of variable cross-sections are developed in this paper for topology optimization based on feature-driven method. As beam structures are extensively used and mostly hold standard cross-sections in engineering practice, this work is aimed at the simultaneous design of beam layout and beam cross-section. The H-shaped cross-section is taken as general design primitive owing to its flexible evolution into T-shaped, C-shaped, and L-shaped cross-sections. Meanwhile, it is represented by means of the level-set functions (LSFs) with design variables consisting of the beam position, rotation angles, cross-section sizes, and cross-section configurations. Through the continuous change of defined cross-section configuration variables, different specifications of standard cross-sections with normed size values can be obtained and selected from the parts library. Fixed-mesh technique is also implemented for structural analysis and sensitivity analysis. Several numerical examples are presented to demonstrate the effectiveness and merits of the proposed method.
      PubDate: 2024-05-27
       
  • Integrated lightweight optimization design of wall thickness, material,
           and performance of automobile body side structure

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      Abstract: Abstract To achieve lightweight of automobile body side structure, a body optimization framework is established. The optimization framework includes numerical simulation, wall thickness, and material set parameterization, design of experiment, surrogate model, NSGA-II, and multi-criteria decision making (MCDM). The finite element model of automobile body side collision is established, and the accuracy of the model is verified by side collision experiment. The problem that it is difficult to embed discrete material variables into the optimization model is solved by using material set parameterization technology. The RBF surrogate model and NSGA-II are applied to the multi-objective lightweight optimization of the body side structure. A hybrid weight & GRA decision method is proposed for Pareto front data mining. Compared with other MCDM methods, the decision results using hybrid weight & GRA are more robust and reasonable. Through the integrated optimization of the wall thickness, material, and performance of the body side structure and the Pareto front data mining, the mass of the body side structure is reduced by 9.21 kg, the lightweight rate is up to 15.93%, and the crashworthiness performance indicators meet the design baseline requirements.
      PubDate: 2024-05-27
       
  • Topology optimization of incompressible structures subject to
           fluid–structure interaction

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      Abstract: Abstract In this work, an algorithm for topology optimization of incompressible structures is proposed, in both small and finite strain assumptions and in which the loads come from the interaction with a surrounding fluid. The algorithm considers a classical block-iterative scheme, in which the solid and the fluid mechanics problems are solved sequentially to simulate the interaction between them. Several stabilized mixed finite element formulations based on the Variational Multi-Scale approach are considered to be capable of tackling the incompressible limit for the numerical approximation of the solid. The fluid is considered as an incompressible Newtonian fluid flow which is combined with an Arbitrary-Lagrangian Eulerian formulation to account for the moving part of the domain. Several numerical examples are presented and discussed to assess the robustness of the proposed algorithm and its applicability to the topology optimization of incompressible elastic solids subjected to Newtonian incompressible fluid loads.
      PubDate: 2024-05-27
       
  • Optimal design of non-uniform curved grid-stiffened shell with various
           stiffener patterns

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      Abstract: Abstract This paper presents a non-uniform curved grid-stiffened shell design method aiming to enhance structural performance using various stiffener patterns, allowing simultaneous optimization of stiffener thickness and stiffener layout. Firstly, the grid-stiffened cell description function is defined using quadratic polynomial functions, comprising the orthogrid, the triangle grid, the rotated triangle grid, and the Kagome grid. Then, the non-uniform stiffener layout description function is established using the sawtooth function, while a filter function is employed to ensure the smooth and continuous of the stiffeners. Moreover, the analytical sensitivity is thoroughly derived, and the optimization problem is formulated. Finally, the effectiveness of the proposed method is demonstrated through three representative optimization examples: the cantilever beam, the special-shaped plate, and the S-shape shell. The study concludes that the proposed method can optimize arbitrary flat plates by embedding the design domain into the background domain. Additionally, the proposed method can be extended to perform stiffener design on complex surfaces by establishing projection relationship between the flat surface and the curved surface. Optimization results indicate that the non-uniform curved grid-stiffened shell design exhibits superior structural performance compared to the uniform grid-stiffened shell design.
      PubDate: 2024-05-27
       
  • Correction to: Concurrent multi-scale optimization of macro- and
           micro-shapes of laminated porous shell structure

    • Free pre-print version: Loading...

      PubDate: 2024-05-21
       
  • Linear and nonlinear topology optimization of origami structures based on
           crease pattern and axial rigidity

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      Abstract: Abstract Origami structures exhibit desirable stowage properties for application in deployable space structures. This work aims to improve a design methodology for origami structures using topology optimization. The objective is to find the optimal configuration of the truss structure based on axial rigidity and the crease pattern that maximizes the displacement at set locations, under prescribed forces and boundary conditions. First, a linear method is used to determine small strains and small rotations to evaluate the performance at the initiation of folding. Subsequently, a nonlinear method is implemented to consider large displacements and large rotations. To carry out the optimization process, constraints on the number of active fold lines and on the axial rigidity distribution are applied. Previous studies on topology optimization of origami structures have focused on folding and bending in their analyses. Here, it is shown that including axial rigidity as a design variable leads to new and promising origami designs.
      PubDate: 2024-05-11
       
  • A graph-based methodology for constructing computational models that
           automates adjoint-based sensitivity analysis

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      Abstract: Abstract The adjoint method provides an efficient way to compute sensitivities for system models with a large number of inputs. However, implementing the adjoint method requires significant effort that limits its use. The effort is exacerbated in large-scale multidisciplinary design optimization. We propose the adoption of a three-stage compiler as the method for constructing computational models for large-scale multidisciplinary design optimization to enable accurate and efficient adjoint sensitivity analysis. We develop a new modeling language called the Computational System Design Language that provides an appropriate input to the compiler front end that works well with multidisciplinary models. This paper describes the three-stage compiler methodology and the Computational System Design Language. The proposed solution uses a graph representation of the numerical model to automatically generate a computational model that computes adjoint-based sensitivities for use within an optimization framework. For two engineering models, this approach reduces the amount of user code by a factor of approximately two compared to their original implementations, without a measurable increase in computation time. This paper also includes a best-case complexity analysis that is built into the compiler implementation to allow users to estimate the memory required to evaluate a computational model and its derivatives, which is independent of the compiler back end that ultimately generates the computational model. Future compiler implementations are expected to approach the theoretical best-case memory cost and improve run time performance for both model evaluation and derivative computation.
      PubDate: 2024-05-11
       
  • High-dimensional mixed-categorical Gaussian processes with application to
           multidisciplinary design optimization for a green aircraft

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      Abstract: Abstract Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be used to build the mixed-categorical GP. Many of these approaches involve a high number of hyperparameters; in fact, the more general and precise the strategy used to build the GP, the greater the number of hyperparameters to estimate. This paper introduces an innovative dimension reduction algorithm that relies on partial least squares regression to reduce the number of hyperparameters used to build a mixed-variable GP. Our goal is to generalize classical dimension reduction techniques commonly used within GP (for continuous inputs) to handle mixed-categorical inputs. The good potential of the proposed method is demonstrated in both structural and multidisciplinary application contexts. The targeted applications include the analysis of a cantilever beam as well as the optimization of a green aircraft, resulting in a significant 439-kilogram reduction in fuel consumption during a single mission.
      PubDate: 2024-05-11
       
 
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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted alphabetically
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Annals of Applied Statistics     Full-text available via subscription   (Followers: 37)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Argumentation et analyse du discours     Open Access   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 12)
Biometrical Journal     Hybrid Journal   (Followers: 6)
Biometrics     Hybrid Journal   (Followers: 49)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 19)
Building Simulation     Hybrid Journal   (Followers: 2)
CHANCE     Hybrid Journal   (Followers: 5)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 10)
Computational Statistics     Hybrid Journal   (Followers: 17)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 38)
Current Research in Biostatistics     Open Access   (Followers: 9)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 14)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Extremes     Hybrid Journal   (Followers: 2)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 9)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 3)
Handbook of Statistics     Full-text available via subscription   (Followers: 8)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 19)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
International Statistical Review     Hybrid Journal   (Followers: 11)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 17)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 41, SJR: 3.664, CiteScore: 2)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Econometrics     Hybrid Journal   (Followers: 85)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 8)
Journal of Forecasting     Hybrid Journal   (Followers: 21)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 7)
Journal of Probability and Statistics     Open Access   (Followers: 11)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 35)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 8)
Journal of Statistical Software     Open Access   (Followers: 19, SJR: 13.802, CiteScore: 16)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 77, SJR: 3.746, CiteScore: 2)
Journal of the Korean Statistical Society     Hybrid Journal   (Followers: 1)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 37)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 31)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 43)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 18)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 28)
Law, Probability and Risk     Hybrid Journal   (Followers: 8)
Lifetime Data Analysis     Hybrid Journal   (Followers: 5)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Metrika     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 4)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 9)
Optimization Letters     Hybrid Journal   (Followers: 2)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 35)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 10)
Queueing Systems     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 8)
Review of Economics and Statistics     Hybrid Journal   (Followers: 281)
Review of Socionetwork Strategies     Hybrid Journal  
Risk Management     Hybrid Journal   (Followers: 16)
Sankhya A     Hybrid Journal   (Followers: 3)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Sequential Analysis: Design Methods and Applications     Hybrid Journal   (Followers: 1)
Significance     Hybrid Journal   (Followers: 6)
Sociological Methods & Research     Hybrid Journal   (Followers: 49)
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Stata Journal     Full-text available via subscription   (Followers: 9)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Statistical Methods and Applications     Hybrid Journal   (Followers: 5)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 23)
Statistical Modelling     Hybrid Journal   (Followers: 18)
Statistical Papers     Hybrid Journal   (Followers: 4)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Statistics and Economics     Open Access  
Statistics in Medicine     Hybrid Journal   (Followers: 144)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 11)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
TEST     Hybrid Journal   (Followers: 3)
The American Statistician     Full-text available via subscription   (Followers: 25)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)

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