Composite Structures最新文献

{"title":"Unified theory framework for gradient acoustic metamaterial structure and novel state sensing method based sonic black hole","authors":"Zuanbo Zhou,&nbsp;Niaoqing Hu,&nbsp;Yi Yang,&nbsp;Zhengyang Yin,&nbsp;Jiangtao Hu,&nbsp;Shiyuan Fang","doi":"10.1016/j.compstruct.2026.120829","DOIUrl":"10.1016/j.compstruct.2026.120829","url":null,"abstract":"<div><div>Acoustic sensing method has advantages in significant physical meaning, low acquisition cost and less object occlusion affection, and widespread attention of it in has been received in recent years. With striding progress in metamaterials, considerable methods are proposed for acoustic detection enhancement and quality improvement. Aiming at the challenges in theory studies of gradient acoustic metamaterial structures, a unified theory framework is established for providing bridges of metamaterials with various topological configurations. Different from the general perspective in sound absorption of existing studies, a brand-new physical sensing enhancement method is further provided by taking advantage of energy absorbed by coiled sonic black hole (CSBH). By comparing dispersion relations, the great performances of CSBH in structure dimension reduction, compactness and signal quality improvement are verified. Through comparative experiments on weak signal detection and rotating machinery fault diagnosis, excellent ability in feature extraction and noise reduction of CSBH is verified. The theories and methods proposed in this paper build the mutual conversion bridge of gradient acoustic metamaterials, and a promising acoustic device is provided for signal quality improvement in the contactless equipment state sensing field.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120829"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953460","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":"A morphology and porosity aware generative surrogate model for stress field prediction in CFRP composites with random void defects","authors":"Mengze Li,&nbsp;Hui Xu,&nbsp;Hanling Wu","doi":"10.1016/j.compstruct.2026.120821","DOIUrl":"10.1016/j.compstruct.2026.120821","url":null,"abstract":"<div><div>Full-field stress prediction in composites remains challenging when microstructural defects exhibit realistic randomness in morphology, spatial distribution, and porosity. Most existing data-driven models are trained on simplified or highly idealized microstructures, limiting their generalization to complex microstructures. To address this limitation, this study develops a deep learning surrogate model based on conditional generative adversarial network (cGAN), termed the Label-enhanced Stress Field Prediction network (LSFPNet). First, a high-fidelity microstructure database featuring randomly distributed fibers and voids is generated. Innovatively, void morphology and porosity are integrated as physical priors in the form of conditional labels into the generator, guiding it to learn distinct mappings between defect features and stress fields. Additionally, a dual-task discriminator is designed to assess stress-field authenticity and classify void labels, thereby jointly constraining and improving the generator’s performance through adversarial learning. The results demonstrate that the proposed model outperforms all baseline models across evaluated metrics (RMSE: 9.0987, PSNR: 29.0226, SSIM: 0.9272, R²: 0.9348) and exhibits robust generalization to unseen microstructures with varied fiber volume fractions, fiber radius, void porosities, and mixed-void configurations. The proposed framework enables efficient and accurate high-fidelity stress field prediction, data-driven characterization, and microstructure uncertainty quantification for composite materials.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120821"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148937051","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":"Fatigue resistance of composite bridges – review and design approach","authors":"Thomas Keller","doi":"10.1016/j.compstruct.2026.120678","DOIUrl":"10.1016/j.compstruct.2026.120678","url":null,"abstract":"<div><div>Bridges were always of interest in the application of composite materials in structural engineering. In the case of vehicular bridges, lightweight and prefabricated superstructures allow installation periods and lane closures to be significantly minimised and thereby environmental impact and social cost to be reduced, as it was demonstrated since the appearance of composite vehicular bridges in the 1990 s. However, the generally high vehicular traffic loads compared to the low permanent loads cause high stress amplitudes and associated low mean stress levels, which both affect the fatigue resistance. Fatigue failure is therefore considered a relevant ultimate limit state in composite bridge design. The work presents a review on the fatigue resistance of composite bridges from which, in the second part, a general fatigue verification criterion and a novel fatigue resistance verification procedure are derived. The fatigue verification criterion indicates whether a fatigue resistance verification is necessary, which is essential because fatigue resistance verification is based on extensive and expensive testing. The fatigue resistance verification procedure integrates the establishment of fatigue load models calibrated for composites, which is also essential because the current application of fatigue load models calibrated for steel to composites may lead to non-conservative fatigue resistances for composite bridges.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120678"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148937054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced damage imaging of CFRP laminates via nonlinear ultrasonic guided deep learning","authors":"Lunan Wei,&nbsp;Youao Xiao,&nbsp;Jun Chen,&nbsp;Yang Li,&nbsp;Guojun Cai,&nbsp;Gao Shang","doi":"10.1016/j.compstruct.2026.120808","DOIUrl":"10.1016/j.compstruct.2026.120808","url":null,"abstract":"<div><div>Deep learning with improved interpretability and generalization capability has been employed to detect defects in carbon fiber reinforced polymers (CFRPs). However, these models have not yet been effectively utilized to enhance nonlinear ultrasonic techniques. To address this limitation, a nonlinear ultrasonic-guided deep learning (NLU-DL) approach is proposed, in which linear and NLU features are balanced through a weighting function. The feature weights and the original data are fed into the network, thereby forming a DL model with dual-channel feature fusion. The proposed NLU-DL is verified and validated using a 3D finite element (FE) model and a laser scanning Doppler vibrometry (LSDV)-based system, with the datasets being numerically and experimentally collected, enabling a high-efficiency “one-transmitter-multiple-receiver” scheme. For more effective feature extraction, a principal component analysis-integrated convolutional neural network (NLU-PCA-CNN) is designed for 1D time-series signals, while a squeeze-and-excitation module-integrated convolutional neural network (NLU-SE-CNN) is constructed for 2D time–frequency images. The results demonstrate that the NLU-DL significantly outperforms nonlinear ultrasonics in imaging precision, and the NLU-SE-CNN achieves higher imaging contrast and stability for single-, irregular-, and multi-delaminations. Furthermore, compared with purely data-driven models, the NLU-DL offers enhanced interpretability, detection accuracy, and generalization capability, thereby presenting a novel intelligent solution for damage imaging in composites.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120808"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148936699","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":"Equivalent modeling of interfacial mechanical interlocking in FMLs","authors":"Fengxia He,&nbsp;Zhe Xu,&nbsp;Xiaotian Bai,&nbsp;Lei Li,&nbsp;Zhong Luo,&nbsp;Huaitao Shi","doi":"10.1016/j.compstruct.2026.120837","DOIUrl":"10.1016/j.compstruct.2026.120837","url":null,"abstract":"<div><div>Fiber–metal laminates (FMLs) contain rough metal–polymer interfaces whose mechanical interlocking is difficult to represent efficiently in structural finite element models. This study proposes a roughness-informed equivalent interfacial-layer model for the Ti-6Al-4 V/GFRP system. The model combines the predicted proportions of interfacial debonding and polymer cohesive failure to obtain an equivalent fracture energy and derives the layer elastic modulus using an equivalent surface-energy relation; Poisson’s ratio and density are obtained from constituent-based mixture relations. Surface topography characterized by stylus profilometry, mapped to ideal interface; equivalent‑layer thickness relates to measured mean roughness. Hammer-impact modal tests are used as the primary validation, and a tensile comparison provides supplementary evidence for the overall load-carrying response. For the tested laminate and the first ten modes within 0–400 Hz, the model with h = Ra = 15 μm gives a mean absolute relative frequency error of 1.55% and an average diagonal Cross-MAC of 0.969. It also gives lower frequency errors than a perfectly smooth-interface cohesive zone model (PSI-CZM) for all ten modes. These results demonstrate the feasibility of the proposed representation within the investigated material system, specimen configuration, and loading range; broader application requires further validation under static interfacial fracture, fatigue, impact, transient dynamic, and progressive-delamination conditions.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120837"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148937055","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":"Impact response of composite sandwich panels with 3D-auxetic-lattice: A theoretical and experimental study","authors":"Shang Lv,&nbsp;Wei Sun,&nbsp;Hui Li,&nbsp;Dongxu Du,&nbsp;Yu Zhang,&nbsp;Hui Zhang,&nbsp;Xuedong Sun","doi":"10.1016/j.compstruct.2026.120816","DOIUrl":"10.1016/j.compstruct.2026.120816","url":null,"abstract":"<div><div>Carbon fiber-reinforced polymers (CFRPs) are increasingly used in civil and architectural engineering due to their light weight and high stiffness. However, CFRPs are vulnerable to impacts during construction and service. In contrast, composite sandwich panels (CSPs) offer superior impact resistance and dynamic performance. This paper introduces a CSP structure embedded with a 3D augmented re-entrant cellular (3D-ARC) configuration and systematically investigates its response characteristics under low-velocity impact. Firstly, a dynamic model of the 3D-ARC-CSP is developed by integrating the first-order shear deformation theory (FSDT) with a layer-wise modeling strategy. The impact process is then simulated using Hertz contact theory and a two-degree-of-freedom (2DOF) spring-mass (SM) system. Subsequently, the model is verified through ABAQUS simulation and existing literature. Meanwhile, a low-velocity impact experimental system has been built, and the fabrication procedure of the 3D-ARC-CSP is described. Finally, numerical simulations reveal the influence of key parameters on the impact response. Specifically, the results demonstrate that rationally optimizing the cellular parameters can increase the peak contact force by 46% and reduce the maximum transverse displacement by 40%. The findings provide useful design guidelines for developing lightweight, impact-resistant composite sandwich structures for building envelopes, facades, and protective applications.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120816"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953462","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":"A review of metal-based smart composites integrating shape memory alloys: from microstructural design to multifunctional performance","authors":"Xiaoyang Yi,&nbsp;Huan Yang,&nbsp;Xinxin Feng,&nbsp;Xinjian Cao,&nbsp;Kuishan Sun,&nbsp;Xianglong Meng,&nbsp;Zhiyong Gao,&nbsp;Haizhen Wang","doi":"10.1016/j.compstruct.2026.120825","DOIUrl":"10.1016/j.compstruct.2026.120825","url":null,"abstract":"<div><div>Shape memory alloys were an advanced functional material integrating temperature/stress sensing and intelligent driving on the basis of shape memory effect and superelasticity. Shape memory alloys can be combined with other materials, forming the smart composites, which have been widely used for multi-functional and smart composite materials in industry. Compared to the conventional metal matrix composites, metal matrix composites reinforced by shape memory alloys or the shape memory alloys-based composites not only possess the better mechanical properties, but also show a certain functional performance, ultimately integrating the structural and functional properties. Through the design of the macroscopic/microscopic structure of metal based smart composite integrating shape memory alloys, it is possible not only to achieve significant improvements in their mechanical properties such as high strength, high hardness, and high wear resistance, but also to endow them with functional properties including larger recoverable strain, higher damping characteristics, higher electrical conductivity, and excellent biocompatibility. In the present paper, the research progress of the metal matrix composites reinforced by multi-type configuration of shape memory alloys including thin films, shorter fibers or particles etc. as well as the shape memory alloy composites enhanced by reinforcements were reviewed and summarized, mainly consisting of the types of matrix and reinforcements, the preparation method, microstructural features, interfacial reaction, physical and mechanical/functional properties. Finally, the potential applications and the future development direction of metals based smart composites containing shape memory alloys are summarized and prospected.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120825"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953463","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":"A unified computational framework for asymptotic homogenization of periodic microstructures: 3D and Reissner–Mindlin plate numerical implementations","authors":"Zhihui Liu,&nbsp;Yinghao Nie,&nbsp;Bin Niu","doi":"10.1016/j.compstruct.2026.120827","DOIUrl":"10.1016/j.compstruct.2026.120827","url":null,"abstract":"<div><div>Multiscale analysis of periodic microstructures commonly relies on Representative Volume Elements (RVEs) and Asymptotic Homogenization (AH). However, unified implementation in commercial finite-element software remains challenging because of complex periodic boundary conditions (PBCs), different 3D and plate kinematics, and element-dependent nodal degrees of freedom. This study develops a unified, open-source Abaqus–Python framework that integrates established three-dimensional (3D) periodic homogenization and Reissner–Mindlin plate homogenization formulations within a single automated plug-in. The framework performs boundary classification and node pairing, PBC generation, characteristic load-case execution, output-database processing, and effective-stiffness extraction. It evaluates the 3D effective elastic stiffness matrix and, for plates, the extensional, extension–bending coupling, and bending stiffness matrices together with the diagonal transverse-shear stiffness terms. A degree-of-freedom-aware routine selects the corresponding predefined constraint form according to the element family. The framework is demonstrated for solid-, beam-, and shell-discretized unit cells, including a compatible mixed beam/shell configuration. The identified effective properties are assessed through structure-level modal, static, and inherent-strain-based additive-manufacturing distortion analyses. The open-source framework provides a reproducible Abaqus-based route within the verified linear-elastic, small-deformation regime.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120827"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953539","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":"Analysis of magneto–electro–elastic skew plates with viscoelastic interlayer using a novel compressible layer-wise TSDT with shear stress continuity","authors":"Ya-Fei Zhao,&nbsp;Ying-Shan Gao,&nbsp;Shuai Wang","doi":"10.1016/j.compstruct.2026.120784","DOIUrl":"10.1016/j.compstruct.2026.120784","url":null,"abstract":"<div><div>This study proposes a novel compressible layer-wise third-order shear deformation theory (CLW-TSDT) that integrates interlaminar shear stress continuity and core compressibility to accurately predict the static and dynamic responses of the magneto–electro–elastic (MEE) damping laminated structures. The compressive properties of the viscoelastic layers in laminated structures significantly impact the structural properties, while conventional plate theories usually ignore this. In addition, conventional theories fail to consider the continuity of interlayer shear stress. To overcome these limitations and accurately describe arbitrary multilayer stacked structures, the CLW-TSDT model incorporating interlaminar shear stress continuity and core compressibility is developed for defining displacement field expressions. Notably, the presented model relies on merely 12 degrees of freedom (DOFs). Dynamic formulations are developed based on the three-dimensional (3D) “magneto-electric-visco/elastic” constitutive equations, accounting for higher-order, continuous transverse shear stresses with vanishing values at the surfaces. The accuracy of this model is first verified and then extensive numerical studies on the key parameters of the MEE damping laminated structures are carried out. Numerical results confirm that the proposed model is both accurate and robust, marking a significant advancement over existing formulations for the analysis of the MEE damping laminated structures.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120784"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148936700","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":"Temperature-dependent mechanical properties of CF/phthalonitrile laminates: experimental analysis and a dual-scale numerical modeling framework","authors":"Jinchuan Yang,&nbsp;Chunming Ji,&nbsp;Lianchao Wang,&nbsp;Yajun Zou,&nbsp;Jiqiang Hu,&nbsp;Bing Wang","doi":"10.1016/j.compstruct.2026.120813","DOIUrl":"10.1016/j.compstruct.2026.120813","url":null,"abstract":"<div><div>Phthalonitrile (PN) resin and its composites have gradually attracted attention due to their excellent high-temperature resistance. Nevertheless, their temperature-dependent mechanical properties and corresponding prediction methods remain inadequately studied. In the present work, the temperature-dependent elastic moduli, ultimate strengths, and damage behavior of carbon fiber/PN (CF/PN) composite laminates are comprehensively investigated for the first time by integrating multifaceted methodologies, including experiments and dual-scale numerical simulations. The root mean square errors between the elastic moduli and strengths predicted by numerical simulations and the experimental results are less than 2.5 % and 12.5 %, respectively. The longitudinal tensile properties of CF/PN composites are governed by fibers and remain stable up to 300℃, whereas transverse and longitudinal compressive strengths are matrix-dominated and degrade progressively with increasing temperature. Interfacial degradation governs the failure mode transition from synchronous fiber fracture to progressive localized failure as temperature rises. This interfacial degradation is primarily attributed to the combined effect of matrix modulus attenuation stemming from molecular mobility at elevated temperatures, and the partial relief of thermal residual stresses arising from the coefficient of thermal expansion mismatch between fiber and resin. The composite exhibits shear hardening under transverse compression at moderate temperatures, which vanishes at 250℃, revealing the critical role of interface properties in compressive-shear failure. The cross-ply laminate shows lower open-hole tensile strength and higher temperature sensitivity than the quasi-isotropic laminate due to its higher 90° ply content and the associated abundance of interface-dominated weak regions. In both laminates, the 0° ply controls ultimate failure, while matrix tension in off-axis plies increasingly dominates damage evolution with temperature. In this study, the temperature-dependent mechanical properties of the fiber/matrix interface were obtained using a parameter inverse analysis method, and a constitutive modeling-simulation-experimental validation framework is further established, which is expected to deliver pivotal support for advancing the engineering thermal-structural application of PN composites.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"396 ","pages":"Article 120813"},"PeriodicalIF":7.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148937049","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}