Computers & Structures最新文献_第7页

Development of a hybrid dynamic stiffness method adapted to Framed structures 适用于框架结构的混合动力刚度方法的发展

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2025-12-30 DOI: 10.1016/j.compstruc.2025.108088

A. Brisson , E. Perrey-Debain , J.D. Chazot , C. Guigou-Carter , C. Fillol , P. Jean

{"title":"Development of a hybrid dynamic stiffness method adapted to Framed structures","authors":"A. Brisson , E. Perrey-Debain , J.D. Chazot , C. Guigou-Carter , C. Fillol , P. Jean","doi":"10.1016/j.compstruc.2025.108088","DOIUrl":"10.1016/j.compstruc.2025.108088","url":null,"abstract":"<div><div>Mitigating noise and vibration nuisances in engineering design requires efficient and rapid simulation tools during the design and pre-project phases. In civil engineering, post-and-beam structures which consist of skeletal frameworks composed of slabs, beams, and posts, semi-analytical methods such as the popular Dynamic Stiffness Method can be employed. The method avoids heavy computational resources but it relies on certain restrictive modeling simplifications. In contrast, the 3D Finite Element Method allows for taking into account all geometrical details of the structure, resulting in precise and reliable outcomes. In this paper, we propose a hybrid approach that combines both methods to enhance the accuracy of the Dynamic Stiffness Method while maintaining fast computation times. Specifically, the connections between posts and beams are modeled precisely with the FEM while the rest of the building structure is modeled with the Dynamic Stiffness Method. An additional Craig-Bampton reduction step is also applied to the finite element domain to further decrease the problem size. This article details the development of the hybrid dynamic stiffness method, demonstrating its effectiveness in terms of accuracy and model size reduction through comparisons with a full finite element model. Finally, a real application case is presented to test the method on a full-scale building structure.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108088"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884461","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

Model calibration and uncertainty quantification of cellular automata-based pitting corrosion model 基于元胞自动机的点蚀模型标定与不确定度量化

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2026-01-20 DOI: 10.1016/j.compstruc.2026.108103

J.Ramesh Babu, Pranav M. Karve, Sankaran Mahadevan

{"title":"Model calibration and uncertainty quantification of cellular automata-based pitting corrosion model","authors":"J.Ramesh Babu, Pranav M. Karve, Sankaran Mahadevan","doi":"10.1016/j.compstruc.2026.108103","DOIUrl":"10.1016/j.compstruc.2026.108103","url":null,"abstract":"<div><div>This study presents a Bayesian framework for calibrating cellular automata (CA) models of pitting corrosion. A high-fidelity two-dimensional CA model is used to simulate pit morphology evolution under coupled electrochemical and mass transport processes, incorporating eight uncertain model parameters related to metal dissolution, hydrolysis, diffusion, and sedimentation. Key geometric indicators—maximum pit depth and pit aspect ratio—are extracted from the simulation outputs and reduced to interpretable scalar features using power-law fitting. Correlation analysis is conducted to assess linear relationships between model parameters and power-law coefficients. Gaussian Process Regression (GPR) surrogate models are constructed using Latin Hypercube Sampling (LHS) to emulate the high-fidelity CA model. Global sensitivity analysis (GSA) using Sobol’ indices is performed by utilizing the trained surrogate models; it identifies sedimentation and ionic diffusion as the dominant contributors to output feature variability, with significant nonlinear interactions. The trained surrogates are integrated into a Bayesian inference framework using Metropolis-Hastings Markov Chain Monte Carlo (MH-MCMC) sampling to infer posterior distributions of the uncertain model parameters. The posterior samples are further propagated through the surrogates to quantify the output uncertainty, and the prediction is evaluated using a distance-based probabilistic model validation metric. Two numerical examples related to API-5L X65 steel pipelines are presented, demonstrating that incorporating multiple geometric features—both pit depth and aspect ratio—improves predictive accuracy. The proposed framework supports uncertainty-aware modeling and decision-making for structural health assessment and maintenance planning in corrosion-critical infrastructure.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108103"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014886","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

An extended Generalized beam theory formulation for large deformation analyses of perforated Thin-Walled members 多孔薄壁构件大变形分析的广义梁理论扩展公式

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2025-12-02 DOI: 10.1016/j.compstruc.2025.108052

Liping Duan , Ji Miao , Jincheng Zhao

{"title":"An extended Generalized beam theory formulation for large deformation analyses of perforated Thin-Walled members","authors":"Liping Duan , Ji Miao , Jincheng Zhao","doi":"10.1016/j.compstruc.2025.108052","DOIUrl":"10.1016/j.compstruc.2025.108052","url":null,"abstract":"<div><div>This paper presents a geometrically exact beam finite element based on the classic Generalized Beam Theory (GBT) for large-deformation analyses of perforated thin-walled sections. The proposed formulation enables the beam to undergo arbitrary cross-sectional deformations, such as in-plane distortion, out-of-plane warping, transverse bending, and extension of the cross-sectional walls. The key novelty of the proposed approach lies in the extension/improvement of a previous GBT formulation for handling linear buckling analyses of perforated thin-section beams, proposed by the authors Duan et al. (2022), to the realm of large-deformation analysis. The geometrically exact kinematic description is built by enriching the cross-section kinematics of a spatially rotated Euler-Bernoulli/Vlasov thin-section beam with some hierarchic deformation modes and using the enrichment functions constructed in terms of signed distance functions to approximate cross-section discontinuities caused by holes. The Neo-Hookean hyperelastic material model is imposed on the proposed beam FE formulation, where an iterative procedure is performed to ensure the plane stress assumption for the stress fields in cross-section walls. The discrete equations are obtained by using the displacement Galerkin method. Some illustrative examples are presented to demonstrate the potential of the proposed beam FE, and the results demonstrate its capability to perform the GBT modal decomposition of buckled configurations of perforated thin-section members.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108052"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657745","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-patch isogeometric shape optimization of complex free-form surfaces with buckling constraints 具有屈曲约束的复杂自由曲面的多斑块等几何形状优化

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2026-01-02 DOI: 10.1016/j.compstruc.2025.108093

Ziling Song , Smriti , Sundararajan Natarajan , Tiantang Yu

引用次数: 0

Multiscale design of microwave absorbing sandwich structures via surrogate assisted topology optimization 基于代理辅助拓扑优化的微波吸收夹层结构多尺度设计

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2025-12-02 DOI: 10.1016/j.compstruc.2025.108053

Dohun Lee , Yonghwa Ji , Illkyung Park , Joosup Lim , Seung-Gyu Lee , Jaewook Lee

{"title":"Multiscale design of microwave absorbing sandwich structures via surrogate assisted topology optimization","authors":"Dohun Lee , Yonghwa Ji , Illkyung Park , Joosup Lim , Seung-Gyu Lee , Jaewook Lee","doi":"10.1016/j.compstruc.2025.108053","DOIUrl":"10.1016/j.compstruc.2025.108053","url":null,"abstract":"<div><div>This paper proposes a multiscale design framework for microwave absorbing sandwich structures (MASSs) that simultaneously optimizes macroscopic structural variables and microscopic unit cell geometry. The framework incorporates topology optimization to generate free-form microstructures within the sandwich core. To reduce computational cost and enable rapid exploration of diverse unit cell designs, a surrogate model using an artificial neural network (ANN) is employed. The multiscale optimization problem is formulated with the objective functions of minimizing the total mass and beam deflection of the MASSs. A constraint is imposed on the reflection loss to ensure sufficient microwave absorption at the target frequency. The formulated optimization problem is then solved using three metaheuristic optimization algorithms. To validate the performance of the optimal designs, high-fidelity finite element re-analyses are conducted. Structural validation is performed through 3-point bending and shear deformation analyses, while electromagnetic performance is evaluated using full-wave simulations. The re-analysis results confirm the effectiveness of the proposed multiscale design approach in achieving high-performance MASSs with tailored mechanical and electromagnetic characteristics.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108053"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657744","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

Experimental and numerical investigation of tramcar curve squeal under varying wheel-rail contact conditions 不同轮轨接触条件下有轨电车曲线噪声的实验与数值研究

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2025-11-29 DOI: 10.1016/j.compstruc.2025.108040

Federico Castellini , Leonardo Faccini , Stefano Alfi , Egidio Di Gialleonardo , Roberto Corradi , Giacomo Squicciarini , David Thompson

{"title":"Experimental and numerical investigation of tramcar curve squeal under varying wheel-rail contact conditions","authors":"Federico Castellini , Leonardo Faccini , Stefano Alfi , Egidio Di Gialleonardo , Roberto Corradi , Giacomo Squicciarini , David Thompson","doi":"10.1016/j.compstruc.2025.108040","DOIUrl":"10.1016/j.compstruc.2025.108040","url":null,"abstract":"<div><div>The variability of curve squeal generated by a modern articulated tramcar is investigated through noise and vibration measurements at two sites and numerical simulations. Accelerometers on the leading wheels of the second car show that different vibration modes intermittently dominate the wheel vibration during curving, with squeal also detected on the outer wheel. To study low-adhesion conditions, the track is artificially wetted. A reduction of nearly 15 dBA in Single Event Levels is obtained after water application, but the effect disappeared after a few passes. A numerical procedure supports the experiments, combining vehicle dynamics simulations with a frequency-domain wheel-rail interaction model. Predicted squeal frequencies agree with those measured. Variability in contact parameters is considered by simulating numerous variants per scenario. Squeal occurs in over 90% of cases on the front inner and rear outer wheels, and in fewer than 3% on the outer front wheel. Simulations with varying friction coefficients are aligned with experimental findings in dry and wet conditions, suggesting that water-based friction modifiers can significantly reduce squeal. A parametric study on curve radius confirms the leading inner wheel as most critical, while also showing multiple squealing wheels, including those under flange contact.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108040"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145613577","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

Quantile-based multiscale topology optimization of geometrically asymmetric porous sandwich structures under uncertainties 不确定条件下几何不对称多孔夹层结构的分位数多尺度拓扑优化

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2025-12-26 DOI: 10.1016/j.compstruc.2025.108085

Zhimiao Zou , Zhe Ding , Kai Shan , Wei-Hsin Liao

{"title":"Quantile-based multiscale topology optimization of geometrically asymmetric porous sandwich structures under uncertainties","authors":"Zhimiao Zou , Zhe Ding , Kai Shan , Wei-Hsin Liao","doi":"10.1016/j.compstruc.2025.108085","DOIUrl":"10.1016/j.compstruc.2025.108085","url":null,"abstract":"<div><div>Geometrically asymmetric porous sandwich structures (GAPSSs) often outperform conventional designs with identical face sheets under asymmetric load and boundary conditions, since more design freedoms are provided for optimization. However, most current works on the GAPSSs are based on deterministic assumptions and developed by analytical or experimental methods, while limited attention is given to the optimization for the GAPSSs under uncertainties. This study proposes a novel multiscale design approach for GAPSSs under uncertainty based on topology optimization, which can determine the optimized face-sheet thicknesses, as well as the core configuration while maintaining structural reliability. Firstly, the optimization begins at macroscale, where the optimized face-sheet thicknesses are determined through the variable thickness sheet method. Then, the configuration of periodic unit cell is optimized using the parametric level set method at microscale. At both stages, the quantile-based formulation is applied to enhance structural reliability. During the quantile-based process, Monte Carlos Simulation is used for quantile estimation with the assistance of Kriging model. To validate the proposed methodology and highlight its superior performance over conventional designs, a series of 2D and 3D numerical case studies as well as some comparative analyses are conducted.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108085"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840385","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 new unsupervised method for damage detection in structures: Cor-PCAE 一种新的无监督结构损伤检测方法：co - pcae

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2026-01-13 DOI: 10.1016/j.compstruc.2026.108100

Augusta Adha , Dimas Pustaka Dibiantara , Reyes Garcia , Irwanda Laory

{"title":"A new unsupervised method for damage detection in structures: Cor-PCAE","authors":"Augusta Adha , Dimas Pustaka Dibiantara , Reyes Garcia , Irwanda Laory","doi":"10.1016/j.compstruc.2026.108100","DOIUrl":"10.1016/j.compstruc.2026.108100","url":null,"abstract":"<div><div>Despite its widespread adoption in Structural Health Monitoring (SHM), Moving Principal Component Analysis (MPCA) still has some significant drawbacks in terms of human bias, thus limiting its ability to detect minor damage in structures. This article proposes a new fully unsupervised method called Correlation Principal Component Auto-Encoder (Cor-PCAE), which enhances the anomaly (i.e. damage) detection performance of the MPCA method. The new Cor-PCAE method optimises computational resources by splitting data into a sequence of sensor correlations and generates a suitable sensor correlation model with a deep autoencoder. The Cor-PCAE method is applied to detect minor to moderate damage in a Fibre Reinforced Polymer (FRP) bridge subjected to walking tests. Three damaged conditions were considered, denoted by minor damage (DM1 & DM2) and moderate damage (DM3). The acceleration data (DTS1 & DTS2) were used to compare the performance of Cor-PCAE against existing methods such as Moving Principal Component Analysis (MPCA) and Combined MPCA-Multiple Linear Regression (MPCA-MLR). The results show that Cor-PCAE’s detection performance is faster than MPCA for both datasets. The new Cor-PCAE method also reduces the probability of misclassifying damage as a healthy condition. Lastly, by observing the probability of misclassification from three sensor configurations (“Far”, “Distributed”, and “Near”), the new Cor-PCAE method consistently achieves a relatively low probability of misclassifying damage, even in less ideal sensor configurations. This article contributes to the development of faster and more efficient damage detection methods for SHM of existing structures.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"321 ","pages":"Article 108100"},"PeriodicalIF":4.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962649","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

Scale-invariant Monte Carlo and multilevel Monte Carlo estimation of mean and variance: An application to simulation of linear elastic bone tissue 尺度不变蒙特卡罗和多水平蒙特卡罗均值和方差估计：在线性弹性骨组织模拟中的应用

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2025-12-06 DOI: 10.1016/j.compstruc.2025.108054

Sharana Kumar Shivanand , Bojana Rosić

引用次数: 0

A new concrete material model embedded in finite element procedures 一种新的混凝土材料模型嵌入有限元程序

IF 4.8 2区工程技术

Computers & Structures Pub Date : 2026-01-15 Epub Date: 2026-01-17 DOI: 10.1016/j.compstruc.2025.108079

Yeongbin Ko , Klaus-Jürgen Bathe

引用次数: 0