Computers & Structures最新文献_第4页

Data-driven method for real-time reconstruction of antenna element displacement

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-28 DOI: 10.1016/j.compstruc.2025.107701

Jin Kang , Peng Gaoliang , Zhang Wei , Li Zhixiong , Wang Jinghan , Yuan Hao

{"title":"Data-driven method for real-time reconstruction of antenna element displacement","authors":"Jin Kang , Peng Gaoliang , Zhang Wei , Li Zhixiong , Wang Jinghan , Yuan Hao","doi":"10.1016/j.compstruc.2025.107701","DOIUrl":"10.1016/j.compstruc.2025.107701","url":null,"abstract":"<div><div>Real-time reconstruction of antenna element displacements using limited strain data is essential for mitigating the degradation of phased array radar systems’ electrical performance caused by antenna deformations. This study presents a data-driven framework for efficiently and accurately reconstructing antenna element displacements. The proposed approach combines finite element simulations with a multilayer perceptron (MLP) network to predict the displacements of all target points based on strain values from a limited number of monitoring points. The MLP network’s architecture is optimized using a loss function designed under the assumptions of Gaussian distribution and homoscedastic uncertainty. Displacement reconstruction for several target locations on a cantilever plate and a four-sided hinged support plate is demonstrated, utilizing a database generated through finite element analysis (FEA). Simulated discrete strain data derived from FEA are employed as input to the MLP-based shape sensing model (SS-MLP), effectively replicating real-world strain measurements. A comparative analysis between the SS-MLP and FEA models reveals that this method achieves precise and simultaneous displacement reconstruction for multiple points, even with sparsely distributed monitoring locations. These results suggest that the proposed approach provides a promising alternative for real-time antenna element displacement monitoring.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"311 ","pages":"Article 107701"},"PeriodicalIF":4.4,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlocal stress and J-integral approaches for cohesive crack growth within enhanced DodeQuad virtual element

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-28 DOI: 10.1016/j.compstruc.2025.107691

Elisabetta Monaldo , Sonia Marfia , Elio Sacco

{"title":"Nonlocal stress and J-integral approaches for cohesive crack growth within enhanced DodeQuad virtual element","authors":"Elisabetta Monaldo , Sonia Marfia , Elio Sacco","doi":"10.1016/j.compstruc.2025.107691","DOIUrl":"10.1016/j.compstruc.2025.107691","url":null,"abstract":"<div><div>The aim of this paper is to present a numerical procedure for reproducing the crack growth in two-dimensional (2D) cohesive solids. Two approaches are proposed to determine the direction of crack propagation. One approach is based on the evaluation of the nonlocal stress around the tip of the fracture, while the other on the computation of the J-integral. Once the direction of crack propagation has been determined, a cohesive interface is introduced. The crack evolution is performed by developing a new 12-node quadrilateral enhanced virtual element (VE), denoted as DodeQuad, presenting three different formulations of the element. The new VE is characterized by features that make it particularly suitable for reproducing the crack growth, including its stabilization-free nature, its high degree of accuracy in determining the strain and stress fields, its suitability for the J-integral evaluation, and its ability to define a numerical procedure that does not require the variation of the number of nodes and degrees of freedom during the analysis. This leads to a minimal remeshing requirement for crack propagation. To illustrate the performance of the developed numerical procedure, some numerical applications are performed, including comparisons with available experimental evidence and with other numerical techniques.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"311 ","pages":"Article 107691"},"PeriodicalIF":4.4,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Buckling prediction and structural optimization of sandwich plates with negative Poisson’s ratio core

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-28 DOI: 10.1016/j.compstruc.2025.107715

L. Han , Y.S. Li , E. Pan , J.G. Sun

{"title":"Buckling prediction and structural optimization of sandwich plates with negative Poisson’s ratio core","authors":"L. Han , Y.S. Li , E. Pan , J.G. Sun","doi":"10.1016/j.compstruc.2025.107715","DOIUrl":"10.1016/j.compstruc.2025.107715","url":null,"abstract":"<div><div>Negative Poisson’s ratio (NPR) materials are attractive for their unique mechanical properties. Especially lightweight structures made of NPR materials have potential application in the aviation industry. The purpose of this study is to propose a lightweight structure with NPR materials and optimize it with its performance and mass as the objectives. In this study, buckling prediction and structural optimization of a sandwich plate with an NPR core are investigated by using artificial neural networks (ANN) and genetic algorithms (GA). A three-dimensional NPR structure for the core of the sandwich plate is presented, and the equivalent strain energy method is used to obtain the effective material properties of the NPR core. The governing equation and the corresponding analytical solution for the buckling of the sandwich plate are derived. In the numerical examples, the effect of the design parameters in sandwich plates with an NPR core on the critical buckling load is analyzed using the ANN. The ANN and the GA are also employed to predict the optimized maximum critical buckling load and minimum cell mass of the NPR sandwich plate. The Pareto-frontier curves for the multi-objective optimization under different core-to-thickness ratios are further obtained, with optimal solutions under different design conditions.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"311 ","pages":"Article 107715"},"PeriodicalIF":4.4,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A computational method to find the optimal driving-path for stable state transformation of multistable tensegrity

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-27 DOI: 10.1016/j.compstruc.2025.107695

Zhiyin Xu , Jinyu Lu , Jiarong Wu , Jilei Liu , Xun Gu , Na Li

{"title":"A computational method to find the optimal driving-path for stable state transformation of multistable tensegrity","authors":"Zhiyin Xu , Jinyu Lu , Jiarong Wu , Jilei Liu , Xun Gu , Na Li","doi":"10.1016/j.compstruc.2025.107695","DOIUrl":"10.1016/j.compstruc.2025.107695","url":null,"abstract":"<div><div>This paper introduces a computational approach for identifying the optimal driving-path for stable state transformations (SST) of multistable tensegrity structures. In order to capture the morphological changes of the tensegrity structure when the driving-nodes are actuated along arbitrary driving-path, a tracking method is firstly introduced. Then, the concept of segmenting-nodes is introduced to parameterize the driving-path. With the coordinates of segmenting-nodes on driving-path as optimization variables and the minimum energy threshold in the process of SST as objective function, a nonlinear optimization model is established and solved by particle swarm optimization algorithm. The feasibility of the proposed method is verified by three multistable tensegrity examples with different scales. In addition, the proposed method is compared with two existing methods, and the results further prove that the proposed method has the advantages of simple driving scheme and low energy threshold. The research provides instructive significance for the practical application of multistable tensegrity.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"310 ","pages":"Article 107695"},"PeriodicalIF":4.4,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-layered shell finite element with interlayer slips

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-27 DOI: 10.1016/j.compstruc.2025.107662

Seunghwan Park, Juneho Lee, Phill-Seung Lee

引用次数: 0

A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-26 DOI: 10.1016/j.compstruc.2025.107698

S.C. Jayasinghe , M. Mahmoodian , A. Alavi , A. Sidiq , F. Shahrivar , Z. Sun , J. Thangarajah , S. Setunge

{"title":"A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain","authors":"S.C. Jayasinghe , M. Mahmoodian , A. Alavi , A. Sidiq , F. Shahrivar , Z. Sun , J. Thangarajah , S. Setunge","doi":"10.1016/j.compstruc.2025.107698","DOIUrl":"10.1016/j.compstruc.2025.107698","url":null,"abstract":"<div><div>Finite element (FE) modelling is widely recognised as the most powerful and foremost computational technique for analysing complex structural systems due to its highly efficient modelling and simulation capabilities. Despite the strengths, its computational demands restrict its ability of performing instantaneous computations and present substantial challenges for achieving real-time analyses results. However, the integration of artificial neural networks (ANNs) with FE modelling offers a simplified calculation process whilst accelerating the computational time substantially. In this light, current study conducts a worth and timely investigation on application of ANNs as a surrogate for real-time FE modelling in the civil engineering domain. ANNs can be integrated into the computational process of FE modelling in numerous ways and selecting the type of the neural network architecture for surrogate modelling and integrating it to represent the FE model are crucial. Even though that depends on the complexity of the model that is to be analysed, the graph neural networks (GNNs) showed an excellent performance in both analysing and visualising mesh-based FE modelling as it incorporates the underlying relationship among different elements in a FE mesh. ANNs have the potential to significantly accelerate forward calculation process and also, provide a more efficient approach to inverse analysis. However, such applications are seldom in the existing body of knowledge. It has been identified that predicting stress or displacements was the most common primary goal of most studies with a particular emphasis on addressing static structural behaviour.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"310 ","pages":"Article 107698"},"PeriodicalIF":4.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rare event probability evaluation for static and dynamic structures based on direct probability integral method

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-26 DOI: 10.1016/j.compstruc.2025.107704

Hui Li , Pengfei Gao , Xi Chen , Hongchao Guo , Dixiong Yang

{"title":"Rare event probability evaluation for static and dynamic structures based on direct probability integral method","authors":"Hui Li , Pengfei Gao , Xi Chen , Hongchao Guo , Dixiong Yang","doi":"10.1016/j.compstruc.2025.107704","DOIUrl":"10.1016/j.compstruc.2025.107704","url":null,"abstract":"<div><div>Efficient and accurate evaluation of the rare event probability is a crucial yet challenging task for the design of static and dynamic structures with uncertainties. This study establishes a novel level-wise representative points increment strategy for direct probability integral method (DPIM), which calculates accurately rare event probabilities (less than 10<sup>−3</sup>). Firstly, the two advantages of partitioning the probability space in DPIM, namely, enhanced accuracy in reliability estimation and flexibility in selecting representative points, are elaborated. Secondly, it is clarified that the error in reliability assessment using DPIM is caused by the imprecise simulation of important subdomains. The idea of increasing the number of important points is advanced to improve the precision of reliability assessment. Subsequently, inspired by subset simulation, the level-wise representative points increment strategy is proposed. This strategy effectively adds representative points within important subdomains by selecting new points from the low-level points. Embedding the points increment strategy into DPIM forms a unified and efficient method for rare event estimations of static and dynamic structures. Finally, the accuracy and efficiency of the proposed method are demonstrated in three typical examples by comparing with Monte Carlo simulation (MCS), Quasi-MCS and subset simulation. The results indicate that the proposed strategy significantly improves the accuracy of reliability assessment employing DPIM, and fulfils a versatile and precise analysis of rare event probabilities in both static and dynamic systems.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"310 ","pages":"Article 107704"},"PeriodicalIF":4.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiscale lattice discrete particle modeling of steel-concrete composite column bases under pull-out and cyclic loading conditions

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-26 DOI: 10.1016/j.compstruc.2025.107705

Yingbo Zhu , Ahmad Hassan , Amit Kanvinde , Alessandro Fascetti

{"title":"Multiscale lattice discrete particle modeling of steel-concrete composite column bases under pull-out and cyclic loading conditions","authors":"Yingbo Zhu , Ahmad Hassan , Amit Kanvinde , Alessandro Fascetti","doi":"10.1016/j.compstruc.2025.107705","DOIUrl":"10.1016/j.compstruc.2025.107705","url":null,"abstract":"<div><div>Steel-Concrete Composite (SCC) connections in steel buildings are inherently complex in terms of internal stress distributions and failure modes that are important to characterize for effective design and performance assessment. In this context, numerical results obtained from a multiscale lattice discrete particle model are presented to examine its efficacy in characterizing the response of SCC connections (specifically embedded column base connections in steel moment frames) subjected to earthquake-like cyclic loading. In the numerical model, mesostructural information on the concrete base is described at the level of the constituent materials, allowing to capture initiation and propagation of fracture resulting from cyclic loading. To address mesh sensitivity at the macroscopic level, an energy regularization approach, based on a generalization of the crack band theory, is proposed and validated. The proposed regularization technique mitigates mesh sensitivity in the simulations, while significantly reducing the overall computational cost. A multiscale validation of the model is presented by comparing the numerical results with experimental data obtained from independent cyclic tests on SCC connections, indicating reasonable accuracy across a range of test parameters. Limitations of the approach are discussed.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"310 ","pages":"Article 107705"},"PeriodicalIF":4.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational forensics framework for material property identification of reinforced structures leveraging DIC-based FEM updating via metaheuristic optimization

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-25 DOI: 10.1016/j.compstruc.2025.107696

Tabish Ali , Robin Eunju Kim , Kun-Soo Kim

{"title":"Computational forensics framework for material property identification of reinforced structures leveraging DIC-based FEM updating via metaheuristic optimization","authors":"Tabish Ali , Robin Eunju Kim , Kun-Soo Kim","doi":"10.1016/j.compstruc.2025.107696","DOIUrl":"10.1016/j.compstruc.2025.107696","url":null,"abstract":"<div><div>Identification of the material properties of reinforced concrete (RC) systems is a challenging but crucial part of the strength analysis and condition assessment. However, the heterogeneous nature of concrete poses complexities in determining its material properties accurately. A combination of finite element model updating with metaheuristic optimization algorithms has emerged as one method to determine the material properties of structures. However, the previous works are limited to homogenous materials such as steel and use simple constitutive laws for the finite element model. Thus, the authors proposed a Computational Forensics (CF) framework to investigate the material property identification of RC beams using full-field surface deformation data obtained from the Digital Image Correlation technique. The proposed framework successfully determined the elastic modulus and compressive strength with high accuracy. Both synthetic and real experiments were performed to show the applicability and practicality of the framework for material property identification and SHM purposes.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"310 ","pages":"Article 107696"},"PeriodicalIF":4.4,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Damage localization using a deep learning-based response modeling method

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-02-25 DOI: 10.1016/j.compstruc.2025.107697

Chengbin Chen, Liqun Tang, Qingkai Xiao, Licheng Zhou, Zejia Liu, Yiping Liu, Zhenyu Jiang, Bao Yang

{"title":"Damage localization using a deep learning-based response modeling method","authors":"Chengbin Chen, Liqun Tang, Qingkai Xiao, Licheng Zhou, Zejia Liu, Yiping Liu, Zhenyu Jiang, Bao Yang","doi":"10.1016/j.compstruc.2025.107697","DOIUrl":"10.1016/j.compstruc.2025.107697","url":null,"abstract":"<div><div>Existing multi-damage localization methods usually need to be trained using labeled data obtained from various damage cases, and such methods can identify multiple damages with high accuracy. However, it’s extremely challenging to obtain labeled data from engineered structures under various damage states, especially in multiple damages case. Thus, damage localization methods that need to be trained using only structural health data have received much attention as an alternative. In addition, existing multi-damage localization methods are mainly based on structural dynamic responses, such as acceleration, whereas structural quasi-static responses are also sensitive to damage location and perform well in damage localization, such as strain response. However, existing quasi-static response-based damage localization methods usually focus on the single-damage localization problem, ignoring the double- and multi-damage localization problems. Therefore, this paper develops a multi-damage localization method based on strain response modeling using the DL-AR-ATT model. The proposed method was compared with one of the latest methods, the BiLSTNet-A-based method, and validated using both simulation and experimental datasets. The results illustrate that the proposed method can accurately locate single and double damage and outperformed the BiLSTNet-A-based method, especially in high noise levels and minor damage cases.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"310 ","pages":"Article 107697"},"PeriodicalIF":4.4,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0