Computers & Structures最新文献_第7页

Enhancing displacement accuracy of stable node-based smoothed finite element method (SNS-FEM) with a smoothing framework based on weighted least squares (WLS) 基于加权最小二乘的光滑框架提高稳定节点光滑有限元法（SNS-FEM）位移精度

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-21 DOI: 10.1016/j.compstruc.2025.107893

Samadrita Karmakar, Roland Traxl, Roman Lackner

{"title":"Enhancing displacement accuracy of stable node-based smoothed finite element method (SNS-FEM) with a smoothing framework based on weighted least squares (WLS)","authors":"Samadrita Karmakar, Roland Traxl, Roman Lackner","doi":"10.1016/j.compstruc.2025.107893","DOIUrl":"10.1016/j.compstruc.2025.107893","url":null,"abstract":"<div><div>The Node-based Smoothed Finite Element Method (NS-FEM) mitigates strain and volumetric locking in the standard Finite Element Method (FEM) by employing averaged nodal strains and nodal integration to construct the stiffness matrix. However, nodal integration may fail to constrain certain distortion modes, resulting in numerical instability. Stable NS-FEM (SNS-FEM) introduces temporary integration points that constrain these spurious modes, restoring stability. This paper proposes a new formulation that enhances the displacement accuracy of SNS-FEM, particularly on coarse meshes. Instead of relying on local strain integration and averaging, the method computes nodal strains using a Weighted Least Squares (WLS) approach. By leveraging the flexibility of WLS, it strategically selects strain sampling locations and polynomial fitting orders to modify the computed nodal strain gradients. Compared to SNS-FEM, this modification leads to a lower stiffness contribution from the stabilisation term, thereby improving displacement accuracy. The formulation is evaluated across four types of test cases, focusing primarily on displacement fields and natural frequency modes. Results demonstrate that the proposed method preserves dynamic stability while improving displacement accuracy relative to SNS-FEM—especially on coarse meshes—at comparable computational costs.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107893"},"PeriodicalIF":4.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670390","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

Influence of the manufacturing process on the stress state of curved glulam beams 制造工艺对弯曲胶合木梁应力状态的影响

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-18 DOI: 10.1016/j.compstruc.2025.107890

Taoyi Yu , Ani Khaloian , Jan-Willem van de Kuilen

{"title":"Influence of the manufacturing process on the stress state of curved glulam beams","authors":"Taoyi Yu , Ani Khaloian , Jan-Willem van de Kuilen","doi":"10.1016/j.compstruc.2025.107890","DOIUrl":"10.1016/j.compstruc.2025.107890","url":null,"abstract":"<div><div>This study examines the spring-back effect and residual stresses in curved glued-laminated timber (glulam) beams during the manufacturing process. In addition to curving along the longitudinal axis (<span><math><mi>X</mi></math></span>), a cup-deformation develops in the transverse direction (<span><math><mi>Z</mi></math></span>) due to the Poisson’s effect. This deformation, combined with the glue-hardening process and the release of pressure, leads to the development of residual stresses in all three axial directions, as well as shear stresses within individual boards and at their interfaces.</div><div>Besides the well-known factors such as longitudinal elasticity, board thickness, and inner radius, the study reveals that the number of layers (<span><math><mi>n</mi></math></span>) and Poisson’s ratio (<span><math><msub><mrow><mi>ν</mi></mrow><mrow><mi>L</mi><mi>T</mi></mrow></msub></math></span>) significantly influence the magnitude of residual stresses. However, aside from longitudinal stresses, the impact of <span><math><mi>n</mi></math></span> and <span><math><msub><mrow><mi>ν</mi></mrow><mrow><mi>L</mi><mi>T</mi></mrow></msub></math></span>, as well as other residual stresses, have been scarcely studied and are not adequately addressed in current design standards.</div><div>A Monte–Carlo analysis of the growth-ring effect is conducted, taking the pith location of different board layers as the input random variable. Strong influences can be identified on the residual stresses in both radial and tangential directions, with intensified maximum values and more scattered distribution inside the cross-section. The time- and moisture-dependent relaxation analysis using the rheological wood model shows a significant influence of the temperature and relative humidity.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107890"},"PeriodicalIF":4.4,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656984","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

Prediction of physical space parameters for dynamical systems: A POD-ANN approach 动态系统物理空间参数的预测：POD-ANN方法

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-18 DOI: 10.1016/j.compstruc.2025.107891

Samrul Hoda, Biswarup Bhattacharyya

{"title":"Prediction of physical space parameters for dynamical systems: A POD-ANN approach","authors":"Samrul Hoda, Biswarup Bhattacharyya","doi":"10.1016/j.compstruc.2025.107891","DOIUrl":"10.1016/j.compstruc.2025.107891","url":null,"abstract":"<div><div>Full-Order Models (FOM) parameters provide detailed representations of dynamic systems. However, they often come with high computational costs. This is especially true for large-scale or real-time applications such as structural health monitoring and digital twinning. Reduced-Order Modeling (ROM) techniques, like Proper Orthogonal Decomposition (POD), address this by reducing system dimensionality. This enables more efficient simulations while preserving essential dynamics. However, ROM approaches cannot be used directly to predict parameters (e.g., stiffness) in the physical space. These parameters are crucial for comprehensive system evaluation. This study introduces a novel framework combining POD and Artificial Neural Networks (ANN) to map reduced-order parameters to physical parameters for the case of gradual, global parameter variations. POD extracts significant modes that capture essential dynamics, projecting full-order dynamics onto the reduced space. Subsequently, ANN is trained to map reduced space to physical space parameters, addressing ROM’s limitations. The POD-ANN model is applied to linear and nonlinear dynamic problems, and <span><math><mn>50</mn><mspace></mspace><mi>%</mi></math></span> reduction in modes compared to the full-order dimension is observed in both cases. Furthermore, the achieved relative error is quite low while predicting the full-order stiffness matrix for linear and nonlinear dynamical systems. Once the model is trained, it can be used to predict parameters efficiently.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107891"},"PeriodicalIF":4.4,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656985","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

Human-induced vibration serviceability analysis of high-frequency floors under different layouts of obstacles based on random loading and random structural properties 基于随机荷载和随机结构特性的不同障碍物布置下高频楼板人为振动适用性分析

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-15 DOI: 10.1016/j.compstruc.2025.107895

Xinglong Pu , Tianhu He , Qiankun Zhu

{"title":"Human-induced vibration serviceability analysis of high-frequency floors under different layouts of obstacles based on random loading and random structural properties","authors":"Xinglong Pu , Tianhu He , Qiankun Zhu","doi":"10.1016/j.compstruc.2025.107895","DOIUrl":"10.1016/j.compstruc.2025.107895","url":null,"abstract":"<div><div><strong>s:</strong> Traditional analyses of human-induced floor vibrations often focus solely on random loading while relying on deterministic structural models and thereby overlooking the combined effects of random loading and structural variability on serviceability. This study investigates the influence of both random loading and structural randomness on the serviceability of high-frequency floors configured with different obstacle layouts. First, a random crowd loading model is established by combining the social force model and time-domain representation of human-induced loads, capturing the stochastic nature of pedestrian walking patterns. Next, a finite element model of the high-frequency floor is developed with semi-rigid boundary conditions, and its parameters are optimized to accurately reflect real vibration characteristics, providing a basis for introducing structural randomness. An improved biomechanical model is subsequently employed to construct a coupled crowd–floor interaction system. The probability density evolution and degree of reliability of the dynamic response are evaluated under different obstacle layouts, considering both random loading and structural uncertainty. The results indicate that accounting for both sources of randomness broadens the probability density distribution and significantly increases peak acceleration. Obstacle configurations influence pedestrian movement variability, thereby altering dynamic response and degree of reliability. These findings indicate that high-frequency floors may still exhibit vibration-induced serviceability issues, even when designed according to conventional frequency-based criteria.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107895"},"PeriodicalIF":4.4,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632564","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

Large-scale simulation of discrete dislocation dynamics based on dynamic heterogeneous parallel fast multipole method 基于动态非均质平行快速多极法的离散位错动力学大尺度模拟

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-15 DOI: 10.1016/j.compstruc.2025.107887

Kang Zou , Genshen Chu , Dandan Chen

{"title":"Large-scale simulation of discrete dislocation dynamics based on dynamic heterogeneous parallel fast multipole method","authors":"Kang Zou , Genshen Chu , Dandan Chen","doi":"10.1016/j.compstruc.2025.107887","DOIUrl":"10.1016/j.compstruc.2025.107887","url":null,"abstract":"<div><div>Discrete dislocation dynamics (DDD) studies the plastic deformation of structural materials by directly simulating the collective evolution of a large number of dislocations, revealing the intrinsic physical correlation between material microstructure, dislocation microstructure, and plastic mechanical behavior. This paper proposes PFM-DDD, a novel parallel computation framework designed to combine DDD with fast multipole method (FMM) for simulating plastic deformation with over millions of degrees of freedom. PFM-DDD achieves large-scale fast simulation through three synergistic modules: (1) custom data structures linking FMM with DDD for efficient storage and retrieval of dislocation segments and FMM cells; (2) adaptive task partitioning to mitigate load imbalance issues in parallel simulations; (3) two-stage FMM heterogeneous parallel DDD design, including subdomain-level parallel FMM on CPUs and GPU-accelerated strategies. Experimental results demonstrate that PFM-DDD has good accuracy and exhibits superior computational performance compared to the state-of-the-art DDD simulation program ParaDiS.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107887"},"PeriodicalIF":4.4,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632562","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 Neumann expansion-based sequential simulation method for structural interval finite element analysis 基于Neumann展开的结构区间有限元序列模拟方法

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-15 DOI: 10.1016/j.compstruc.2025.107892

Bingyu Ni , Zanyu Chen , Wanyi Tian , Chao Jiang

{"title":"A Neumann expansion-based sequential simulation method for structural interval finite element analysis","authors":"Bingyu Ni , Zanyu Chen , Wanyi Tian , Chao Jiang","doi":"10.1016/j.compstruc.2025.107892","DOIUrl":"10.1016/j.compstruc.2025.107892","url":null,"abstract":"<div><div>The interval finite element method, which cooperates finite elements with interval analysis, aims to determine the structural upper and lower response bounds under interval inputs. The sequential simulation method provides an efficient strategy for evaluating the structural response bounds, which performs sampling of interval variables and structural response simulations sequence by sequence. However, the structural response analyses in each simulation sequence are accurately solved, even though most of them are not contributing components to the final response bound. It is realized that structural response computations for the earlier sequences are mainly used to identify the contributing samples, focusing on assessing the relative magnitude of their values rather than obtaining their exact values. Therefore, the Neumann expansion is introduced in this paper to approximate the structural response and to identify potential contributing samples. In each simulation sequence, accurate numerical solutions of the structural response are performed only for the potential contributing samples. In addition, this study proposes an adaptive sampling strategy that accelerates the convergence by continuously adjusting the sampling neighborhood of the contributing sample. Several numerical examples are investigated to illustrate the efficiency and accuracy of the proposed Neumann expansion-based sequential simulation method.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107892"},"PeriodicalIF":4.4,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632563","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

Topology optimization method for stiffener layout design of curved thin-walled structures under random excitations 随机激励下弯曲薄壁结构加劲肋布置的拓扑优化方法

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-14 DOI: 10.1016/j.compstruc.2025.107882

Haotian Yang , Renjing Gao , Shutian Liu

{"title":"Topology optimization method for stiffener layout design of curved thin-walled structures under random excitations","authors":"Haotian Yang , Renjing Gao , Shutian Liu","doi":"10.1016/j.compstruc.2025.107882","DOIUrl":"10.1016/j.compstruc.2025.107882","url":null,"abstract":"<div><div>Traditional topology optimization methods for curved thin-walled stiffened structures predominantly focus on static load conditions, neglecting the critical influence of random excitations. This paper presents a topology optimization method for stiffener layout design of curved thin-walled structures under random excitations. This method takes the root-mean-square value of von Mises stress as the optimization objective, and ensures the structural safety margin under the random excitation by optimizing the stiffener layout. For the random dynamic response, the pseudo excitation method is utilized to calculate the response values. For the topological design, the coordinates of the endpoints of stiffeners are considered as the positional design variables to find the optimal layout, and the relative thicknesses of stiffeners are considered as the topological design variables to realize the material increase or decrease. In order to solve the local modal problem caused by variations in stiffener thickness, a penalty mechanism based on the Heaviside function is constructed to penalize the stiffener relative thickness and material density. In addition, an adaptive mesh discretization strategy is proposed to seamlessly couple the base panel and stiffener elements. Numerical examples demonstrate that the topology configurations obtained by the proposed method exhibit a lower random dynamic response compared with the equivalent static topology designs.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107882"},"PeriodicalIF":4.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614684","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 strategy using the Proper Generalized Decomposition to model time evolving spatial domains 一种利用适当广义分解对时间演化空间域进行建模的新策略

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-11 DOI: 10.1016/j.compstruc.2025.107860

Max Beckermann , Ronan Scanff , Massimiliano Cremonesi , Andrea Barbarulo

{"title":"A new strategy using the Proper Generalized Decomposition to model time evolving spatial domains","authors":"Max Beckermann , Ronan Scanff , Massimiliano Cremonesi , Andrea Barbarulo","doi":"10.1016/j.compstruc.2025.107860","DOIUrl":"10.1016/j.compstruc.2025.107860","url":null,"abstract":"<div><div>In this paper, we propose a new approach to adapt the Proper Generalized Decomposition (PGD) to problems containing space domains that are evolving over time. PGD shines with high-order parametrized and nonlinear problems, drastically reducing their computational time. It was proven highly effective in a wide range of problems, but the space domain has always remained fixed within the parametric manifold of interest. In this work, we adapt the PGD to non-constant domains that change over time at given discrete time instances. More specifically, we focus on time evolving space domains and separate the solution along space and time. The space modes are calculated in an expanded space that comprises all the degrees of freedom throughout the simulation. To visualize the solution, the modes are then projected onto the current physical representation. The time modes are solved in a piecewise manner, dividing the time domain into intervals and initializing the time modes to zero at the beginning of each interval. This work is illustrated with an additive manufacturing-inspired example in which the hot boundary elements are sequentially activated to simulate the addition of material. This aligns perfectly with the previously described strategy as it involves an expanding boundary. The impact of the mesh division and the initialization of the new points is discussed.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107860"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604420","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

Finite strain self-consistent clustering analysis under multiplicative kinematics 乘运动学下的有限应变自一致聚类分析

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-10 DOI: 10.1016/j.compstruc.2025.107886

Bernardo P. Ferreira , R.P. Cardoso Coelho , F.M. Andrade Pires , M.A. Bessa

{"title":"Finite strain self-consistent clustering analysis under multiplicative kinematics","authors":"Bernardo P. Ferreira , R.P. Cardoso Coelho , F.M. Andrade Pires , M.A. Bessa","doi":"10.1016/j.compstruc.2025.107886","DOIUrl":"10.1016/j.compstruc.2025.107886","url":null,"abstract":"<div><div>In this paper we propose a new finite strain extension of the Self-consistent Clustering Analysis method compatible with multiplicative kinematics. This formulation demands the adoption of the total deformation gradient as the primary unknown and a proper multiplicative decomposition-based strain loading incrementation. A logarithmic-based strain concentration tensor and a highly efficient Fast Fourier Transform-based solution approach are proposed to accelerate the method’s offline-stage. Akin to the infinitesimal strain setting, a new self-consistent scheme is devised to automatically find the reference material properties that play a fundamental role in the solution of the clustered Lippmann–Schwinger integral equilibrium equation. Despite some limitations tied to such a self-consistent scheme, the method is shown to deliver a remarkable balance between accuracy and efficiency in the homogenization of elastoplastic heterogeneous materials under several finite strain loadings. All the essential ingredients required for a successful computational implementation are provided and the method is made available by means of the open-source software CRATE.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107886"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604421","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

Neural network-based prediction of stability coefficients for pultruded Fiber-Reinforced Polymer columns 基于神经网络的拉挤纤维增强聚合物柱稳定性系数预测

IF 4.4 2区工程技术

Computers & Structures Pub Date : 2025-07-08 DOI: 10.1016/j.compstruc.2025.107888

Hengming Zhang , Feng Li , Lu Chen

{"title":"Neural network-based prediction of stability coefficients for pultruded Fiber-Reinforced Polymer columns","authors":"Hengming Zhang , Feng Li , Lu Chen","doi":"10.1016/j.compstruc.2025.107888","DOIUrl":"10.1016/j.compstruc.2025.107888","url":null,"abstract":"<div><div>Pultruded fiber-reinforced polymer (FRP) columns are widely used in infrastructure due to their excellent mechanical properties. However, their anisotropic properties and low transverse stiffness pose significant challenges for accurate stability coefficient prediction. Traditional theories, such as Euler’s and Perry’s formulas, rely on idealized assumptions that neglect material heterogeneity and initial imperfections, leading to inconsistent results. While artificial neural network (ANN) offers improved accuracy, their “black-box” nature limits engineering applicability. To address these limitations, this study proposes a novel single-layer ANN-based explicit solution for predicting stability coefficients of FRP columns. A database of 348 samples was constructed to establish the model. By simplifying the ANN architecture and extracting weight coefficients, an explicit formula (ANN formula) was derived. Comparisons with traditional methods demonstrated the ANN formula’s superior performance, achieving R<sup>2</sup> values of 0.937, outperforming Euler’s (R<sup>2</sup> = 0.753) and Perry’s (R<sup>2</sup> = 0.862) formulas. The MLP model exhibited exceptional accuracy (R<sup>2</sup> = 0.971). The proposed explicit solution uniquely bridges data-driven precision and engineering transparency, eliminating reliance on restrictive theoretical assumptions. This work advances FRP design by providing a mechanics-guided, interpretable tool for stability prediction, enabling safer and more efficient structural optimization. The methodology also establishes a framework for integrating machine learning into engineering standards for complex composite systems.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107888"},"PeriodicalIF":4.4,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571896","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