Composite Structures最新文献

{"title":"Compressive behaviors of a novel 3D compression-torsion coupling meta-structure","authors":"Na Hao ,&nbsp;Zhangming Wu ,&nbsp;Liaoliang Ke","doi":"10.1016/j.compstruct.2025.119562","DOIUrl":"10.1016/j.compstruct.2025.119562","url":null,"abstract":"<div><div>Mechanical metamaterials are distinguished by their unique mechanical properties, which are realized through the intentional design of engineered micro-architectures. Among these, compression-torsion mechanical metamaterials are particularly notable due to their ability to generate torsion under axial compression through the precise tailoring of their geometric structures. This capability has promising applications in sensors, energy absorption, and actuators. In this study, we designed a 3D <em>meta</em>-structure with compression-torsion coupling effect (CTCE) by assembling 3D ‘zig-zag’ rods and 2D gammadion-shaped lattice structures. We analyzed the compressive behaviors of this 3D <em>meta</em>-structure with both experiments and finite element method (FEM). Specifically, the effects of geometrical parameters of unit cell on the mechanical behaviors including CTCE, Poisson’s ratio, stress–strain relationship, and specific energy absorption (SEA) are investigated. Our analysis results indicate that the CTCE is mainly influenced by the rod height <em>h</em> and ligament angle <em>θ</em> while the SEA is determined by the rod height <em>h</em> and horizontal length <em>b</em>. Furthermore, the CTCE of present 3D <em>meta</em>-structure shows significant improvement compared to previous metamaterials within the strain range of 0 ∼ 0.1.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119562"},"PeriodicalIF":7.1,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858511","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":"Objective optimization and two-way design of double-layer cushion structure enhanced force stability","authors":"Tengjie Li,&nbsp;Xizhe Wang,&nbsp;Xinfa Chen,&nbsp;Jian Li,&nbsp;Qiang Wan,&nbsp;Xicheng Huang","doi":"10.1016/j.compstruct.2025.119559","DOIUrl":"10.1016/j.compstruct.2025.119559","url":null,"abstract":"<div><div>Programmable metamaterial designs incorporating thermo-induced shape memory polymers (TSMPs) have been widely applied in cushion structure design. Under thermal stimulation, TSMPs exhibit tunable mechanical properties that enable shape memory cushions to meet diverse functional requirements. However, the removal of thermal stimulus leads to instability in these properties, which impedes the maintenance of a stable recovery force. This limitation restricts their practical applications. To address this challenge, a double-layer cushion structure composed of Thermoplastic Polyurethane Elastomers (TPU) and Polylactic Acid (PLA) is proposed as an alternative to the conventional single-layer TSMP cushion structure. By leveraging the recoverable deformation of the TPU layer to store energy, this structure compensates for the substantial reduction in recovery force exhibited by the PLA cushion during cooling. Thermo-mechanical deformation experiments identify the key parameters affecting the recovery force retention rate (RFRR), indicating a more than 30 % improvement compared to the single-layer TSMP cushion. Furthermore, a three-level Box–Behnken design method was employed to integrate polynomial response surface modeling (PRSM) with objective optimization, enabling two-way design between three influencing factors and the recovery force retention rate (RFRR) in the double-layer cushion structure. This study provides novel insights into the design of stable recovery forces for cushion structures under thermal conditions.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119559"},"PeriodicalIF":7.1,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809838","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":"Elastoplastic bending analysis of functionally graded materials structure under variable loads by a meshless method","authors":"Huicheng Huang ,&nbsp;Yabo Jia ,&nbsp;Hakim Naceur","doi":"10.1016/j.compstruct.2025.119544","DOIUrl":"10.1016/j.compstruct.2025.119544","url":null,"abstract":"<div><div>Functionally graded materials (FGM) has garnered increasing attention due to their good mechanical performance. However, modeling the nonlinear behavior of FGM remains challenging. Many studies used the finite element method (FEM) to analyze elastoplastic behavior of FGM but additional material setting treatments were required. The proposed Smoothed particle hydrodynamics (SPH) model has implicit material data on each particle, which is automatically affected following the FGM rule of material thickness variation. The SPH method was proved to be effective in the simulation of elastic deformation of FGM. FGM often experiences elastoplastic deformation in real applications when loads exceed elastic limits. This study addresses this need by developing a Total Lagrangian SPH formulation for elastoplastic bending in FGM, providing accurate simulations of this critical material response. The cutting plane algorithm has been implemented for updating plastic strains and stresses within the SPH formulation to efficiently enforce yield surface conditions during the elastoplastic deformation. The in-house SPH code was validated by comparing deflection curves with reference data, and the strain/stress distribution with ABAQUS under various conditions. The proposed SPH model was demonstrated to stably and effectively capture the bending behavior of FGM and provide solutions comparable to those obtained from ABAQUS using FEM.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119544"},"PeriodicalIF":7.1,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828266","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":"Variability of damping properties for viscoelastic composite plates of flax fibers","authors":"Laëtitia Duigou ,&nbsp;Yann Guevel ,&nbsp;Frédéric Druesne ,&nbsp;Jean-Marc Cadou","doi":"10.1016/j.compstruct.2025.119509","DOIUrl":"10.1016/j.compstruct.2025.119509","url":null,"abstract":"<div><div>This paper aims at taking into account uncertainties of material and physical properties of flax/epoxy composite structures and evaluating their impacts onto the variability of free vibration responses. The natural character of the fiber indeed induces a quite important variability to properties of composite structures, leading to a noticeable variability of responses, possibly hindering its use. The variability of elastic moduli and thicknesses for flax/epoxy multi-layer structures is here modeled to investigate their influence on the variability of damping characteristics such as damping frequency and damping. The quantification of input uncertainties comes from an experimental campaign. The non-linear vibration problem of composite structures is solved by a High Order Newton method. The Monte Carlo Simulation method associated to a Modal Stability Procedure is here proposed using homotopy perturbation technique to deal with the frequency-dependent structure. Two viscoelastic constitutive laws are considered, the generalized Maxwell model and the Fractional derivative Zener model. The test case is a cantilever flax/epoxy rectangular plate and three stacking sequences are considered. The propagation of uncertainties is performed in order to determine the output variability level and the most influent parameters regarding damping characteristics of this structure.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119509"},"PeriodicalIF":7.1,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880106","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":"Comparison of interlaminar damage modeling strategies for hybrid composite/aluminum laminates subjected to low-velocity impact","authors":"Katherine Berkowitz ,&nbsp;Drew E. Sommer ,&nbsp;Brian T. Werner ,&nbsp;Kevin N. Long ,&nbsp;Alyssa J. Skulborstad","doi":"10.1016/j.compstruct.2025.119534","DOIUrl":"10.1016/j.compstruct.2025.119534","url":null,"abstract":"<div><div>Low-velocity impact of hybrid metal-composite structures was investigated experimentally and computationally. Composite laminates consisting of 2D woven glass fiber reinforced polymer (GFRP) and carbon fiber reinforced polymer (CFRP) were joined with a 6061-T6 aluminum plate using an epoxy adhesive. Two variations of the structure were studied; one consisting of all plies oriented at 0° and one consisting of all plies oriented at 45°. A drop tower was used to impact structures at a range of energies, including energies above and below the threshold at which the aluminum layer was perforated. Numerical simulations were implemented using Sierra/SM, an in-house transient dynamics finite element code developed at Sandia National Laboratories. A Hosford plasticity model was used to describe the response of the aluminum layer. A newly implemented orthotropic continuum damage mechanics (CDM) constitutive model was used to represent the composite laminate. This 3D-CDM model was compared to a cohesive zone model (2D-CDM/CZM) to investigate efficacy of aluminum perforation energy prediction, delamination prediction, and computational cost. Accuracy of each model was evaluated using the experimental results. Each showed good agreement with the tests for both the force and velocity histories, as well as the observed damage mechanisms. The 2D-CDM/CZM model was marginally more accurate in capturing both the composite and aluminum behavior — this model averaged error percentages of <span><math><mrow><mo>−</mo><mn>11</mn><mo>.</mo><mn>2</mn></mrow></math></span>% and 10.8% for residual velocity and peak force, respectively. Meanwhile, the 3D-CDM model predictions yielded average error percentages of <span><math><mrow><mo>−</mo><mn>35</mn><mo>.</mo><mn>5</mn></mrow></math></span>% (velocity) and 22.6% (force). However, the 3D-CDM model generally resulted in a decreased computational cost; the average run time was 14% shorter than the 2D-CDM/CZM model and 3x as many timesteps per hour were computed using the same computational resources. New experimental data on the impact and perforation resistance of metal-composite laminates is presented in addition to numerical predictions of the impact behavior.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119534"},"PeriodicalIF":7.1,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829429","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 composite gradient index lens for wideband elastic waves focusing: Design approach and experimental validation at constant thickness","authors":"Valentin Rapine ,&nbsp;Nour Abuhemeida ,&nbsp;Morvan Ouisse ,&nbsp;Scott Cogan ,&nbsp;Pascal Francescato ,&nbsp;Rémy Lachat ,&nbsp;Yann Meyer","doi":"10.1016/j.compstruct.2025.119500","DOIUrl":"10.1016/j.compstruct.2025.119500","url":null,"abstract":"<div><div>Vibrational energy focusing is of significant interest in fields such as energy harvesting, particularly with the emergence of smart structures and self-powered technologies. This paper presents the design and manufacturing approach for Gradient-Index (GRIN) lenses using composite materials. As a proof of concept, the strategy implemented here focuses on controlling the fiber mass ratio of a unidirectional (UD) composite at constant thickness. Mechanical properties must be carefully controlled throughout a dedicated manufacturing process to achieve a gradient of phase velocity for focusing elastic flexural waves. Numerical calculation have demonstrated the efficiency of energy focusing within a frequency range from 2 kHz to 8 kHz. A manufacturing process has been developed to prototype a composite structure that integrates the designed GRIN lens. Additionally, the comparison of a numerical model with experimental results from a manufactured lens structure reveals that the energy density in a defined focusing zone can be increased sevenfold using a gradient lens composite structure, with an incident wave of 8 kHz.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119500"},"PeriodicalIF":7.1,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858510","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 new winding angles and layer thickness determination method for composite pressure vessels through anisotropic acoustic velocity matching","authors":"Jiancheng Cao ,&nbsp;Linzhao Jiang ,&nbsp;Zilong Zhuang ,&nbsp;Qinnan Fei ,&nbsp;Jun Zhang ,&nbsp;Jingli Yan ,&nbsp;Yan Yan ,&nbsp;Ming Li ,&nbsp;Hui Ding","doi":"10.1016/j.compstruct.2025.119529","DOIUrl":"10.1016/j.compstruct.2025.119529","url":null,"abstract":"<div><div>Composite pressure vessels are widely used for the storage and transportation of high-pressure gases/liquids while the composite winding layers are key structures that provide high strength and corrosion resistance. The filament winding process, including winding angle and layer thickness, significantly influences the pressure-bearing capacity of CPVs. However, variations in manufacturing processes often result in unknown composite layer structures, complicating mechanical analysis and defect detection.This study presents an adaptive full-focusing method to characterize CPVs composite layers. By deriving the elastic matrix in cylindrical coordinates and calculating QP-wave velocities for various winding angles using the Christoffel equation, the method integrates anisotropic velocity imaging with the Total Focusing Method (TFM). K-means cluster and edge-based active contour model enables adaptive contour extraction and image region segmentation, with cross-correlation analysis of actual CPVs contours used to match winding angles in each layer. Experimental validation on composite samples demonstrates that the method accurately reflects actual winding angles, with layered TFM imaging effectively capturing the contours and thickness of the composite structure.This research provides a robust characterization approach for CPVs composite layers, offering essential prior information for mechanical analysis and structural integrity assessments, with significant implications for reliability evaluation and quality control.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119529"},"PeriodicalIF":7.1,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144781361","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":"Recent advances in machine learning-assisted design of additive manufacturing metastructures: a review","authors":"Shuailong Gao,&nbsp;Yingjian Sun,&nbsp;Li Xi,&nbsp;Tian Zhao,&nbsp;Yixing Huang,&nbsp;Rujie He,&nbsp;Xiao Kang,&nbsp;Ying Li","doi":"10.1016/j.compstruct.2025.119525","DOIUrl":"10.1016/j.compstruct.2025.119525","url":null,"abstract":"<div><div>Additive manufacturing has mitigated the fabrication challenges of metastructures, but achieving optimal performance and determining the corresponding structural parameters continue to pose a significant challenge. This review highlighted recent advancements in the design of additive manufacturing metastructures by machine learning models. It outlined machine learning-based design frameworks and various computational systems to reveal the relationships between structural parameters and their associated properties. The results showed that machine learning can significantly assist the design of metastructures fabricated from diverse additive manufacturing materials, including polymers, metals, and resins. In particular, generative adversarial networks and artificial neural networks were proposed and showed great potential. However, the predictability of machine learning model was constrained by the quantity and quality of available data. Integrating machine learning with physical knowledge was shown to provide valuable insights and improve design reliability. Finally, this review summarized and analyzed challenges and perspectives on the application of machine learning models. Overall, this review offers new perspectives and methodologies to accelerate the design of metastructures, explore innovative structural, and establish connections between structural parameters and performance.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119525"},"PeriodicalIF":7.1,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772915","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":"High-performance ultrasonic welding of continuous carbon fiber reinforced polycarbonate composites: Synergizing simulation and experimentation","authors":"Yu-Yao Ren ,&nbsp;Bin Han ,&nbsp;Qi-Yuan Yan ,&nbsp;Xiao-Di Wang ,&nbsp;Qi Zhang","doi":"10.1016/j.compstruct.2025.119555","DOIUrl":"10.1016/j.compstruct.2025.119555","url":null,"abstract":"<div><div>Ultrasonic welding has emerged as a highly efficient and environmentally sustainable technique for joining carbon fiber-reinforced thermoplastic composites (CFRTP). Polycarbonate (PC) serves as an ideal matrix material due to its excellent impact resistance, thermal stability, and cost-effectiveness. This study investigates the ultrasonic welding of obliquely woven carbon fiber-reinforced polycarbonate (CF/PC) composites, integrating both simulation and experimental exploration. A model for interfacial frictional heat generation and adhesion evolution, neglecting viscoelastic heating, was developed to predict temperature profiles and resin adhesion dynamics at the welding interface, validated by experiments. Additionally, the study conducted a detailed simulation analysis of four common lap joint configurations, providing insights to guide experimental research and optimize joint design. The effects of welding pressure and time on joint strength were explored, revealing that the optimal parameters for a 1.8 mm thick CF/PC composite are 2.0 bar pressure and 1.2 s welding time. These parameters yielded exceptional mechanical performance, with shear strength of 18.05 MPa and peel strength of 2.21 MPa. Microscopic analysis revealed that the primary failure modes were interface fiber-resin delamination and resin matrix shear failure, with minimal fiber breakage. These results contribute to optimizing the ultrasonic welding process, advancing CFRTP welding technology in engineering.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119555"},"PeriodicalIF":7.1,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773159","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":"Spatial orientation on manufacturing fidelity and mechanical-transport-biological performances of 3D-printed microlattice structures","authors":"Xi Yuan ,&nbsp;Guanghao Li ,&nbsp;Lei Zhang ,&nbsp;Jun Song ,&nbsp;Jiayi Chen ,&nbsp;Jiale Zheng ,&nbsp;Hanjing Li ,&nbsp;Shibin Xie ,&nbsp;Fuming Wang ,&nbsp;Qing Wan ,&nbsp;Fanrong Ai ,&nbsp;Bo Song ,&nbsp;Bin Zhang ,&nbsp;Yusheng Shi","doi":"10.1016/j.compstruct.2025.119551","DOIUrl":"10.1016/j.compstruct.2025.119551","url":null,"abstract":"<div><div>The research on 3D printing of metallic microlattice structures for biological bone scaffolds has attracted more and more attention. Still, the mechanism by which 3D printing processes constraints such as manufacturing deviations and pore defects affect the mechanical, transport, and biological properties of microlattice scaffolds is unclear. This work involved constructing diamond-type microlattice structures with different spatial orientations and forming them using laser powder bed fusion additive manufacturing (LPBF-AM). The LPBF-printing defect formation mechanism of LPBF-printed diamond microlattices was studied, and the influences of different orientations on mechanical-transport-biological performances were systematically evaluated. The results show that the number and angle of the inclined struts in the microlattice structure are proportional to the manufacturing accuracy. The mechanical and transport properties of the CT-reconstructed 3D-printed microlattice structure are higher than those of the as-designed ones. In vitro cell experiments show that the [1<!--> <!-->1<!--> <!-->1]-oriented microlattice has the best stem cell proliferation and differentiation properties. This work provides guidance and reference for applying LPBF-manufactured microlattice bone scaffolds and can inspire research on designing and manufacturing next-generation 3D-printed bone scaffolds.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"372 ","pages":"Article 119551"},"PeriodicalIF":7.1,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772914","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}