Toan Minh Le , Elena Atroshchenko , Tinh Quoc Bui , Jaroon Rungamornrat
{"title":"Material and thickness optimization of microscale in-plane FG thin-walled structures using deep neural network-assisted artificial hummingbird algorithms","authors":"Toan Minh Le , Elena Atroshchenko , Tinh Quoc Bui , Jaroon Rungamornrat","doi":"10.1016/j.compstruct.2025.119227","DOIUrl":"10.1016/j.compstruct.2025.119227","url":null,"abstract":"<div><div>This paper introduces efficient single- and multi-objective optimization approaches for designing material and thickness variations in microscale in-plane functionally graded (IFG) variable-thickness thin-walled structures. The isogeometric multi-mesh design concept is employed to generate two distinct non-uniform rational B-spline (NURBS) meshes at different resolutions. The coarser mesh defines the microshell geometry and profiles of thickness and material volume fraction, with values at control points as design variables. A deep neural network (DNN)-based surrogate model of high-fidelity isogeometric analysis (IGA), built on a finer NURBS mesh combined with Mindlin’s strain gradient elasticity and Reissner–Mindlin shell theory, is integrated with the Artificial Hummingbird Algorithm (AHA) and its multi-objective variant (MOAHA). Numerical examples demonstrate the superior efficiency of DNN-AHA and DNN-MOAHA over the IGA simulation-driven counterpart and traditional optimization methods such as particle swarm optimization and genetic algorithms. The influence of material, thickness, and strain-gradient parameters on optimal FG microsized structure designs is thoroughly examined.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"368 ","pages":"Article 119227"},"PeriodicalIF":6.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuehao Song , Chengjun Zeng , Junqi Hu , Wei Zhao , Liwu Liu , Yanju Liu , Jinsong Leng
{"title":"Compressive behavior and energy absorption of novel body-centered cubic lattice metamaterials incorporating simple cubic truss units","authors":"Xuehao Song , Chengjun Zeng , Junqi Hu , Wei Zhao , Liwu Liu , Yanju Liu , Jinsong Leng","doi":"10.1016/j.compstruct.2025.119230","DOIUrl":"10.1016/j.compstruct.2025.119230","url":null,"abstract":"<div><div>To enhance the compressive performance and energy absorption capabilities of conventional body-centered cubic (BCC) lattice structures, this study introduces a novel body-centered cubic (NBCC) lattice metamaterial incorporating simple cubic (SC) truss units. The NBCC design aims to achieve superior load-bearing capacity and improved energy dissipation under compressive loading conditions. Theoretical models based on Euler-Bernoulli and Timoshenko beam theories were developed to predict the equivalent elastic modulus and Poisson’s ratio of the NBCC lattice metamaterials. Comprehensive finite element simulations and compression tests were conducted to systematically evaluate the compressive behavior and energy absorption characteristics of the metamaterials. Key parameters, including the edge length and beam diameter of the SC truss units, were varied to assess their impact on the<!--> <!-->mechanical performance of the metamaterials. Results indicate that increasing edge length yields higher equivalent elastic modulus, while specific energy absorption exhibits a peak-valley pattern accompanied by a tendency for premature failure. Conversely, enlarging the beam diameter enhances both the elastic modulus and specific energy absorption, albeit with increased fluctuations in the stress–strain response. This study provides valuable insights for the design and optimization of lattice metamaterials for advanced engineering applications.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119230"},"PeriodicalIF":6.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear numerical simulation of plasticity, thermal and creep in particle-reinforced composites with a new three-dimensional VCFEM","authors":"Chun Li, Ran Guo","doi":"10.1016/j.compstruct.2025.119263","DOIUrl":"10.1016/j.compstruct.2025.119263","url":null,"abstract":"<div><div>This paper proposes a new three-dimensional Voronoi-cell finite element method (3D VCFEM), which incorporates plastic, thermal and creep strains, for the numerical simulation of particle-reinforced composites (PRCs). Firstly, the 3D VCFEM stress function, which contains interaction stress terms, is developed by improving the constitutive relation and nonlinear G-matrix of the complementary energy functional in 3D VCFEM, this results in the creation of a new 3D nonlinear complementary energy functional. Secondly, a comparison is conducted between the calculation results obtained from 3D VCFEM and ABAQUS in order to verify the validity and accuracy of the 3D VCFEM. In comparison to the finite element method, the 3D VCFEM exhibits superior capabilities in terms of adaptability and efficiency. Subsequently, the potential of the 3D VCFEM in simulating real materials with randomly distributed tremendous amounts of particles is demonstrated by an example of multi-inclusion PRCs with arbitrary element and integral domains. Finally, the impact of the stress function on the 3D VCFEM stress field is examined.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119263"},"PeriodicalIF":6.3,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenhui Zhao , Ruixuan Hao , Ming Zhang , Qiang Chen , Zhibo Yang , Xuefeng Chen
{"title":"Physically informed neural networks for homogenization and localization of composites with periodic microstructures","authors":"Wenhui Zhao , Ruixuan Hao , Ming Zhang , Qiang Chen , Zhibo Yang , Xuefeng Chen","doi":"10.1016/j.compstruct.2025.119260","DOIUrl":"10.1016/j.compstruct.2025.119260","url":null,"abstract":"<div><div>We propose a physics-informed multiscale deep homogenization network (MulDHN) for the homogenization and localization of composites with periodic microstructures. This framework employs the zeroth-order homogenization method, which decomposes the displacement field into macroscopic and fluctuating components, depending on the global and local coordinates, respectively. The fluctuating component is determined using neural networks that minimize the residuals of Navier’s displacement equations, trained on the local coordinates of randomly sampled material points. Periodic boundary conditions are inherently satisfied through the integration of a periodic layer, which incorporates trainable harmonic functions. The key innovation of this work lies in scaling the coordinates of collocation points by different factors before feeding them into separate sub-networks. These scale factors transform the hard-to-train high-frequency characteristics in the unit cell solution into easy-to-learn low-frequency counterparts, significantly improving the training process. To validate the proposed model, extensive numerical experiments are conducted to verify the effects of neural network hyperparameters and dataset size on the performance of MulDHN, the homogenization properties of unit cells, and local field variables. The performance of the MulDHN is demonstrated to be superior to the conventional neural networks upon comparison with the classical finite-element predictions of unit cells when the fiber–fiber interaction is significant.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119260"},"PeriodicalIF":6.3,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seyed Rasoul Atashipour , Noël Challamel , Ulf Arne Girhammar , Peter D. Folkow
{"title":"Flexible N-layer composite beam/column elements with interlayer partial interaction imperfection–A novel approach to structural stability and dynamic analyses","authors":"Seyed Rasoul Atashipour , Noël Challamel , Ulf Arne Girhammar , Peter D. Folkow","doi":"10.1016/j.compstruct.2025.119219","DOIUrl":"10.1016/j.compstruct.2025.119219","url":null,"abstract":"<div><div>Existing vibration and buckling analysis models for the partial-composite beam/column elements are restricted to a limited number of constituting layers. This is due to the escalated complexity of the governing equations with an increase in the number of layers. The present study formulates the stability and vibration problems of columns and beams composed of any number of identical constituting layers, incorporating the effects of interlayer partial-interaction imperfection. A Timoshenko/Engesser-hypothesis-based partial-composite (TEPC) model is developed and a novel analytical solution scheme is implemented into the extracted governing differential equations. As a result, efficient conversion coefficients are introduced, converting the well-known classical Euler column buckling and beam vibration formulae to those of multilayer elements having interlayer partial-interaction imperfection based on the TEPC model. The validity of the proposed approach is verified through comparison with available experimental data and the conducted 3-D FEA. It is shown that the most significant reduction in the predicted buckling capacity of partial-composite multilayer columns, when transitioning from the EBPC model to TEPC, occurs for the columns with the highest interlayer interaction. Furthermore, it is shown that the influence of interlayer interaction level on the Euler-to-Timoshenko/Engesser conversion coefficients becomes less pronounced as the number of constituting layers increases.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119219"},"PeriodicalIF":6.3,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xubo Zhang , Yiyi Zhou , Yi Min Xie , Minger Wu , Yue Li
{"title":"Hierarchical material-structure optimization of composite laminates based on BESO method and lamination parameters","authors":"Xubo Zhang , Yiyi Zhou , Yi Min Xie , Minger Wu , Yue Li","doi":"10.1016/j.compstruct.2025.119251","DOIUrl":"10.1016/j.compstruct.2025.119251","url":null,"abstract":"<div><div>This study first presents a concurrent material-structure optimization scheme for constant stiffness composite laminates, using the bi-directional evolutionary structural optimization (BESO) and the lamination parameters. Both in-plane and out-of-plane loading scenarios are considered to enhance the applicability. Numerical studies demonstrate the effectiveness of the proposed concurrent scheme by comparing its results with those from a sequential optimization approach (where lamination parameters are optimized first and then followed by topology). Then, recognizing the large computational costs of overall concurrent schemes that limit their practical implementation, this study leverages on the evolutionary properties of the BESO method to further develop a simplified and efficient approach. Numerical investigations suggest optimizing the lamination parameters 5 or 6 times at regular intervals throughout the topology optimization process until the target volume is achieved, effectively balancing accuracy and efficiency. Verification results show that the simplified hierarchical scheme yields comparable results to the overall concurrent optimization, surpasses the sequential approach, and significantly reduces computational costs. The simplified approach is straightforward, efficient, and easy to implement, potentially supporting the application of hierarchical material-structure optimization in practice.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119251"},"PeriodicalIF":6.3,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fan Xie, Qiaoling Liu, Longhai Zhuo, Haitao Wei, Yuxuan Shang, Tao Liu, Zhaoqing Lu
{"title":"Hierarchically engineered Sandwich-Structured h-MXene/ANF hybrid films with tunable electromagnetic interference shielding and exceptional environmental resilience","authors":"Fan Xie, Qiaoling Liu, Longhai Zhuo, Haitao Wei, Yuxuan Shang, Tao Liu, Zhaoqing Lu","doi":"10.1016/j.compstruct.2025.119248","DOIUrl":"10.1016/j.compstruct.2025.119248","url":null,"abstract":"<div><div>High-performance electromagnetic interference (EMI) shielding materials with lightweight, multi-resistant properties and superior, tunable EMI shielding performance are urgently needed for next-generation integrated electronic and communication systems, particularly in portable smart devices and artificial intelligence applications. In this work, hollow h-MXene/ANF backbones with a continuous shielding network were fabricated using a facile vacuum-assisted filtration process combined with a sacrificial template method. The structurally engineered h-MXene/ANF hybrid films achieved outstanding EMI shielding effectiveness (EMI SE) of 78.9 dB and EMI specific shielding effectiveness per unit thickness (SSE/t) of 15703 dB·cm<sup>2</sup>·g<sup>–1</sup>. These exceptional properties are attributed to high ohmic losses, multiple internal reflections, polarization relaxation, and efficient losses in the hollow MXene conductive layer, facilitated by impedance mismatches within the sandwich structure. Notably, the EMI SE performance can be tuned by adjusting the content of hollow MXene microspheres. In addition, extensive hydrogen-bonding interactions between the high-performance ANF and MXene contribute to enhanced mechanical properties, including tensile strength of up to 37 MPa, as well as excellent thermal stability and self-cleaning capabilities. Overall, the sandwich-structured h-MXene/ANF hybrid films exhibit superior mechanical strength, multi-resistant properties, and ultra-high, tunable EMI shielding performance, making them promising candidates for advanced EMI shielding in next-generation portable smart electronic devices.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119248"},"PeriodicalIF":6.3,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jian Ma , Xinxin Shen , Zhimin An , Jiayun Wang , Boyi Yao , Junping Duan , Binzhen Zhang
{"title":"Flexible radar-infrared compatible stealth skin metastructure based on multi-scale optimization design","authors":"Jian Ma , Xinxin Shen , Zhimin An , Jiayun Wang , Boyi Yao , Junping Duan , Binzhen Zhang","doi":"10.1016/j.compstruct.2025.119249","DOIUrl":"10.1016/j.compstruct.2025.119249","url":null,"abstract":"<div><div>In order to meet the requirements of efficient flight over wide airspace and at high speeds, morphing aircraft have been gradually emerging as a new avenue for innovative developments in aeronautical systems. With the steady progress in multi-target detection capabilities, the development of radar-infrared multi-spectral stealth-compatibility flexible skinning has become essential to ensure optimum flight performance for morphing aircraft. In this context, the study proposes a novel multi-layered design for optimization, integrating micro-structure and macro-structure. Several electromagnetic wave attenuation mechanisms have been developed by embedding nanoparticles in a PDMS matrix combined with frequency selective metasurfaces. This approach has resulted in a flexible sandwich matrix with extraordinary mechanical properties (1.66 MPa tensile strength) and an ultra-wide absorption bandwidth (25.28 GHz, Reflection loss (RL) < −10 dB). In addition, by integrating the infrared shield layer (IRSL), radar-infrared compatible stealth was achieved with an emissivity as low as 0.26. The developed multi-layer composite structure not only solves the incompatibility of radar and infrared stealth, but also demonstrates excellent flexibility in the conformations. This research provides both the theoretical basis and the technical support for the innovative development of high-speed morphing aircraft.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119249"},"PeriodicalIF":6.3,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhi-Jian Wang , Jian Zang , Yang Li , Zhen Zhang , Xu-Yuan Song , Ye-Wei Zhang , Li-Qun Chen
{"title":"Nonlinear vibration suppression of complex boundary multimodal rigid-flexible coupled irregular-shaped composite thin-walled panel","authors":"Zhi-Jian Wang , Jian Zang , Yang Li , Zhen Zhang , Xu-Yuan Song , Ye-Wei Zhang , Li-Qun Chen","doi":"10.1016/j.compstruct.2025.119233","DOIUrl":"10.1016/j.compstruct.2025.119233","url":null,"abstract":"<div><div>This paper presents a passive nonlinear control scheme for instrument-equipped aerospace composite laminated thin-walled panels using nickel-titanium shape memory alloy wires. Higher-order dynamic analysis is performed on rigid-flexible coupled structures, examining vibration modes under irregular boundary conditions. The equations are decoupled to derive analytical solutions for multimodal nonlinear vibration suppression. An experimental platform is developed for specimen fabrication, modal testing, and vibration suppression. Results confirm broadband nonlinear damping under variable temperatures and multidirectional excitations. A novel method utilizing fast-slow and dwell sweeps is introduced to characterize the structure’s nonlinear dynamic behavior. Findings indicate that increased external excitation leads to more evident nonlinear hardening effects in the panel, while the passive control strategy effectively mitigates nonlinear resonance amplitude. This study confirms Nitinol-SMA’s capability to suppress complex nonlinear vibrations and highlights its potential for future aerospace applications.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119233"},"PeriodicalIF":6.3,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Honghua Zhang , Renbo Su , Xinyang He , Chengzu Li , Yifan Zhi , Wei Li
{"title":"A novel mesoscopic modeling method of triaxial woven fabric composites considering yarn-yarn contact geometry","authors":"Honghua Zhang , Renbo Su , Xinyang He , Chengzu Li , Yifan Zhi , Wei Li","doi":"10.1016/j.compstruct.2025.119247","DOIUrl":"10.1016/j.compstruct.2025.119247","url":null,"abstract":"<div><div>This paper presents a high-fidelity mesoscopic triaxial woven fabric composites model with realistic contact surface morphology is designed parametrically from the contact region at the yarn interweaving position for avoiding volumetric interpenetration of the yarns. Additionally, the geometry of yarn-yarn contact is parametrically characterized. The geometrical features of the model are validated by the results extracted from micro-CT reconstruction. The introduction of experimental methodology for the direct observation of the actual contact surface morphology has validated the parametric characterization of the contact geometry. A Python script is developed to automate the addition of periodic boundary conditions and the accuracy of the elastic property prediction is evaluated experimentally. The results demonstrate that triaxial woven fabric composites modeling approach achieves fine mesoscale characterization and high elastic property prediction accuracy. The comparison results of two different contact surface morphology models highlight the significance of yarn-yarn contact morphology features in textile structure modeling.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"367 ","pages":"Article 119247"},"PeriodicalIF":6.3,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}