Wenbo Du , Zhenqun Guo , Hailiang Deng , Zhengjun Yao , Cao Wu , Weihua Gu , Yanning Chen , Xuewei Tao , Xiangshan Kong
{"title":"Evolution of microstructure and mechanical properties of directional lamellar Ti3Si(Al)C2/Al composites via Al doping and electron beam melting infiltration","authors":"Wenbo Du , Zhenqun Guo , Hailiang Deng , Zhengjun Yao , Cao Wu , Weihua Gu , Yanning Chen , Xuewei Tao , Xiangshan Kong","doi":"10.1016/j.compstruct.2025.119403","DOIUrl":"10.1016/j.compstruct.2025.119403","url":null,"abstract":"<div><div>Directional lamellar Ti<sub>3</sub>Si(Al)C<sub>2</sub>/Al composites were fabricated by infiltration of molten Al in freeze casted Ti<sub>3</sub>Si(Al)C<sub>2</sub> preforms. Infiltration by electron beam melting favored the breaking of oxide film on molten Al and reduction of the infiltration time (40 s) to control interface reactions. Doping Al in Ti<sub>3</sub>SiC<sub>2</sub> preforms facilitated reactive wetting with Al matrix, which further halved the infiltration time and formed a compact interface. The composites consisted of Ti<sub>3</sub>Si(Al)C<sub>2</sub>, Al, TiAl<sub>3</sub>, and TiC, and in-situ formed TiAl<sub>3</sub> improved the interface bonding. The internal diffusion of matrix Al led to TiAl<sub>3</sub> formation along the lamellar direction, while the external diffusion of Ti damaged the lamellar structure of Ti<sub>3</sub>Si(Al)C<sub>2</sub>. Al doping promoted Ti<sub>3</sub>SiC<sub>2</sub> decomposition and Ti external diffusion, causing a reduction of Ti<sub>3</sub>SiC<sub>2</sub> volume fraction from 43 % to 15 % and tortuosity increase from 1.6 to 8.1. The composites fabricated via electron beam melting exhibited an average Young’s modulus of 95 GPa and hardness of 3.7 GPa, with these values increasing as the Al-doped content rose.</div><div>While the maximum yield strength in compression of the composites, 370 MPa, was achieved at an Al doping content of 0.12, which was due to the contributions of the lamellar structure and TiAl<sub>3</sub> formation.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119403"},"PeriodicalIF":6.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312489","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}
Chen Lin , Zhanchong Shi , Terje Kanstad , Guomin Ji
{"title":"Effect of high performance composite macrofiber on the shear behavior of reinforced beams without stirrups","authors":"Chen Lin , Zhanchong Shi , Terje Kanstad , Guomin Ji","doi":"10.1016/j.compstruct.2025.119406","DOIUrl":"10.1016/j.compstruct.2025.119406","url":null,"abstract":"<div><div>Although numerous studies have investigated the effectiveness of steel fibers as shear reinforcement in concrete structures. The present study investigates a novel high-performance composite macrofiber (HPCF) for shear reinforcement in reinforced beams, encouraging its use in construction. Three groups of longitudinally reinforced beams, lacking shear reinforcement but containing varying HPCF contents, were fabricated. A multi-method validation approach was adopted, including four-point bending test, nonlinear finite element (FE) modeling, and theoretical analysis based on current design codes. Full-field strain and crack evolution were monitored using Digital Image Correlation (DIC), enabling a detailed evaluation of crack initiation and width development. Results revealed that a relatively low fraction of HPCF significantly enhanced beam’s shear capacity. The validated FE models were further used to explore the influence of longitudinal (<em>ρ<sub>L</sub></em>) and shear (<em>ρ<sub>V</sub></em>) reinforcement ratios on the shear behavior of beams with HPCF. Finally, safety margins of using HPCF as only shear reinforcement were evaluated using theoretical models outlined in different design codes. Although formulated only for steel fibers, FprEC2:2022 is shown to perform well also for HPCF. Overall, the experimental, numerical and theoretical findings support the feasibility of using HPCF as a reliable alternative to traditional shear reinforcement in concrete beams.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119406"},"PeriodicalIF":6.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306354","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}
Huagang Lin , Hui Feng , Haizheng Song , Zhufeng Yue , Zhichun Yang
{"title":"A flutter reliability optimization approach for aerospace composite structures based on adaptive ensemble model","authors":"Huagang Lin , Hui Feng , Haizheng Song , Zhufeng Yue , Zhichun Yang","doi":"10.1016/j.compstruct.2025.119402","DOIUrl":"10.1016/j.compstruct.2025.119402","url":null,"abstract":"<div><div>Uncertain factors generally exist in aeroelasticity systems, and ignoring their impacts can potentially result in unexpected flutter failures. Additionally, the computational cost of integrating flutter reliability with optimization is significant, as it requires a large number of expensive model evaluations to estimate the failure probability for each distribution parameter. In this paper, a new decoupled flutter reliability optimization method based on adaptive ensemble model is proposed, which fully leverages the advantages of each surrogate model and no additional original model evaluation is required. Firstly, flutter modelling is presented for supersonic composite plate embedded in Shape Memory Alloys (SMA). Secondly, an ensemble model is proposed to estimate the Failure Probability Function (FPF) with enhancing accuracy and efficiency by assigning specific weights to each individual model. The flutter reliability optimization is then decoupled using the FPF. Finally, a highly nonlinear function is employed to demonstrate the validity and computational efficiency of the proposed method compared to DLMCRO, DROAK and DROAPCK method. Two numerical applications including composite plate with SMA and wing model with engine considering the reliability and deterministic optimization are discussed.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119402"},"PeriodicalIF":6.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312501","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}
Chiara Machello , Mohammad Rahmati , Milad Bazli , Ali Rajabipour , Mehrdad Arashpour , Reza Hassanli , Milad Shakiba
{"title":"Machine learning-based prediction of bond performance of FRP composite bars in concrete for marine composite structures","authors":"Chiara Machello , Mohammad Rahmati , Milad Bazli , Ali Rajabipour , Mehrdad Arashpour , Reza Hassanli , Milad Shakiba","doi":"10.1016/j.compstruct.2025.119401","DOIUrl":"10.1016/j.compstruct.2025.119401","url":null,"abstract":"<div><div>The bond between Fibre Reinforced Polymer (FRP) bars and concrete degrades under seawater, compromising the structural integrity of FRP-reinforced concrete structures in marine environments. Accurate modelling of this bond behaviour is important for ensuring the reliability of such structures. The objective of this study is to develop and evaluate advanced tree-based machine learning (ML) models, including Extreme Gradient Boosting (XGBoost), M5P, and Random Forest, to accurately predict the bond strength retention and failure modes of FRP-reinforced concrete exposed to seawater. A database of 658 experimental results was collected, considering 14 influential parameters, and used to train and test the models. Despite the inherent variability in durability results, the developed models achieved satisfactory predictive accuracy. Feature contribution analysis identified concrete compressive strength as the most significant factor, followed by conditioning duration and bar surface condition. Lesser contributions came from concrete type, conditioning temperature, bar tensile strength, concrete cover, bar elastic modulus, bar diameter, and fibre type, with minimal impact from sustained load, resin type, bond length, and test type. Compared to Fib Bulletin 40 predictions, the ML models showed good accuracy within the range of available conditioning durations. However, accuracy diminished for marginal durations like 365 days due to limited data, indicating lower extrapolation capability and the need for longer-duration experimental results to enhance predictive performance.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119401"},"PeriodicalIF":6.3,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306355","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}
Yuyang Zhang , Huimin Li , Baosheng Liu , Ruishen Lou , Yulin Wang
{"title":"Fast prediction of viscoelastic behavior of 3D tubular braided composites based on deep learning","authors":"Yuyang Zhang , Huimin Li , Baosheng Liu , Ruishen Lou , Yulin Wang","doi":"10.1016/j.compstruct.2025.119395","DOIUrl":"10.1016/j.compstruct.2025.119395","url":null,"abstract":"<div><div>Rapidly and accurately calculating the macroscopic viscoelastic properties of three-dimensional (3D) tubular braided composites is of great practical significance for their structural design and optimization. This study proposes a data-driven approach combined with <em>trans</em>-scale modeling to predict the axial compressive viscoelastic properties of 3D tubular braided composites. First, the viscoelastic constitutive relations for the matrix and the yarn are established, and the <em>trans</em>-scale finite element model of the 3D tubular braided composites is constructed based on micro-CT technology to calculate the viscoelastic curves and perform experimental validation. Then, a deep neural network (DNN) model integrated with an automatic hyperparameter optimization algorithm is built to train and test the simulation dataset generated by the finite element model, and finally the axial compression relaxation modulus curves of 3D tubular braided composites with different parameters (braiding angle, fiber eccentricity, inter-yarn porosity, intra-yarn porosity, temperature, total fiber volume fraction and fiber elastic modulus) are predicted. The results show that the developed data-driven model based on finite element and deep learning can quickly and accurately predict the macroscopic viscoelastic properties of 3D tubular braided composites.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119395"},"PeriodicalIF":6.3,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306353","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":"Mathematical modeling of braiding yarn trajectories for variable cross-section mandrels of equal-coverage","authors":"Yuqing Zhu , Xia Ji , Chengchang Ji , Xinfu Chi","doi":"10.1016/j.compstruct.2025.119394","DOIUrl":"10.1016/j.compstruct.2025.119394","url":null,"abstract":"<div><div>The braiding coverage is very important to the forming quality, especially its mechanical properties. To address the issue of constant coverage on rotating surfaces with variable cross-section mandrels, a modeling method for yarn trajectories with equal coverage rates is proposed in this research. The novel equal-coverage theory model takes into account the effect of variation of mandrel radius on the braiding angle, establishes the relationship between the braiding angle and the variation of braiding radius, and solves for the traction speed. The yarn trajectory is calculated by MATLAB and the traction speed based on the variations in the braiding angle and radius is computed as well. The resulting trajectories are input in NX.11 to construct a variable cross-section mandrel model with equal coverage rates. Comparing the simulation model with actual braided materials shows that the errors in the braiding angle and coverage rate are within ± 5° and 3 %, verifying the feasibility of the proposed method. The results will provide theoretical guidance and basis for further control of braiding quality.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119394"},"PeriodicalIF":6.3,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312505","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":"Influence of boundary conditions on the residual compressive strength of impacted thin-walled GFRP channel section profiles","authors":"Zhen Pei Chow, Adrian Gliszczyński","doi":"10.1016/j.compstruct.2025.119399","DOIUrl":"10.1016/j.compstruct.2025.119399","url":null,"abstract":"<div><div>Compression after impact (CAI) is a crucial assessment for the strength and stability of thin-walled structures. This study investigates the post-impact compressive behaviour of composite channel section profiles to bridge the gap between standard coupon-level testing and more complex structural configurations, where internal damage interacts with buckling phenomena under compressive loading. The profiles, made of eight-layer glass fibre reinforced polymer (GFRP) with a quasi-isotropic layup, were impacted at the corner (45° to the web) with energies of 20 J and 30 J, then subjected to axial compression. Finite element models were developed to simulate both the impact and compression stages in a single simulation. Four types of boundary conditions (BCs) were analysed: nodal displacement, U-shaped groove, V-shaped groove, and flat plate. The resulting force–shortening responses were compared with experimental results. The study found that boundary condition representation significantly influences the CAI response. In particular, simplified BCs using only nodal displacements failed to capture the contact interactions observed in experiments. Accurate modelling of the physical boundary constraints was shown to be critical for replicating the post-impact behaviour. This work demonstrates that structural-level fidelity, especially in boundary condition treatment, is essential for reliable prediction of CAI performance in composite structures.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119399"},"PeriodicalIF":6.3,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312506","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":"Effects of multi-field coupled curing process on mechanical performance of CFRP composites under three-point bending","authors":"Silu Qin , Xinyu Hui , Yingjie Xu , Weihong Zhang","doi":"10.1016/j.compstruct.2025.119392","DOIUrl":"10.1016/j.compstruct.2025.119392","url":null,"abstract":"<div><div>Curing-induced residual stresses (CRS) inevitably produce during the curing process and finally influence the serviceability of carbon fiber reinforced polymer (CFRP) composites. This work develops a comprehensive computational framework to investigate the effects of CRS on mechanical performance of composites under three-point bending. The CRS are obtained from the multi-field coupled curing process model and are introduced as initial prestresses into the progressive damage model to reveal the subsequent loading process. The damage results are found to be consistent with the experimental results captured by digital image correlation (DIC) and super depth of field microscope. Furthermore, the layup effects of composites including cross-ply layup and unidirectional layup are studied to validate the applicability of this framework. It is shown that the CRS significantly affect the damage evolution, failure modes and deformation of cross-ply composites. The results provide new insights into layup optimization for the improvement of mechanical performance.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119392"},"PeriodicalIF":6.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291277","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}
Xuyang Li , Xiaonan Han , Yong Qin , Lianfa Sun , Xiaogang Guo
{"title":"Inverse design of NiTi alloy-based chiral metamaterials with multi-level rotational capabilities for reusable high-performance impact absorption","authors":"Xuyang Li , Xiaonan Han , Yong Qin , Lianfa Sun , Xiaogang Guo","doi":"10.1016/j.compstruct.2025.119387","DOIUrl":"10.1016/j.compstruct.2025.119387","url":null,"abstract":"<div><div>High-performance impact-absorbing structures that combine exceptional energy absorption capabilities with high reusability represent a significant advancement in protective engineering. In this work, we present the development of three-dimensional (3D) chiral metamaterials and a sophisticated inverse design methodology specifically engineered to achieve tailored impact-absorbing properties. By harnessing the multi-level rotational mechanisms—encompassing localized and global beam rotations, as well as the overall structural rotation—during compression, coupled with the shape memory effect of nickel-titanium (NiTi) alloy, the designed structures demonstrate outstanding reusability in energy absorption. Utilizing the AI-driven approach that integrates machine learning with genetic algorithms, we successfully engineered six distinct structures with plateau stresses ranging from 0.025 MPa to 0.7 MPa. Uniaxial compression tests revealed excellent alignment with finite element analysis (FEA) predictions, exhibiting an average deviation of only 8.75 % from the target stress–strain profiles, thereby validating the robustness and precision of our inverse design methodology. Notably, the structure with a plateau stress of 0.05 MPa achieved an exceptional shape recovery ratio of 97.9 % following 80 % effective compression, underscoring its superior reusability. These findings underscore the transformative potential of 3D chiral metamaterials with multi-level rotational capabilities and their inverse design strategy in advancing the development of reusable, high-performance impact-absorbing structures.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119387"},"PeriodicalIF":6.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297742","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}
Jie Xiao , Lele Cheng , Dongxu Kang , Ruize Gao , Yinle Qin , Jianxin Zhang , Zeyu Sun
{"title":"Optimal lay-up angle design for balancing impact resistance and energy absorption in filament-wound CFRP tubular structures","authors":"Jie Xiao , Lele Cheng , Dongxu Kang , Ruize Gao , Yinle Qin , Jianxin Zhang , Zeyu Sun","doi":"10.1016/j.compstruct.2025.119381","DOIUrl":"10.1016/j.compstruct.2025.119381","url":null,"abstract":"<div><div>This study establishes a design framework for optimizing lay-up angles in filament-wound CFRP tubular structures under low-velocity impact (15 J). A systematic experimental–numerical approach integrating drop hammer tests, finite element analysis (FEA), and micro-CT imaging was employed to investigate five lay-up configurations (±15°–±65°). Key findings reveal a trade-off between impact resistance and energy absorption: ±45° lay-ups (moderate-angle regime) achieve balanced performance (80.2 % energy absorption, 29.4 % residual deformation), while ± 65° configurations prioritize energy dissipation (87.6 % absorption) at the cost of increased deformation. FEA-validated micro-CT imaging elucidates damage mechanisms: shallow-angle regimes (<±30°) induce resin-dominated delamination, whereas steep-angle regimes (>±60°) promote fiber fracture through shear-stress redistribution. The study provides a quantitative basis for angle-specific design in aerospace and automotive applications requiring multi-objective performance optimization.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"370 ","pages":"Article 119381"},"PeriodicalIF":6.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312502","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}