Composites Part C Open Access最新文献

{"title":"Seismic rehabilitation of flexure-damaged RC shear walls using a hybrid UHPC–FRP composites with EBROG-installed strips and FRP anchors","authors":"Mehdi Khorasani,&nbsp;Davood Mostofinejad,&nbsp;Ali MohammadSalehi","doi":"10.1016/j.jcomc.2025.100665","DOIUrl":"10.1016/j.jcomc.2025.100665","url":null,"abstract":"<div><div>This study investigates a hybrid repair strategy for flexural-damaged reinforced concrete (RC) shear walls, combining ultra-high-performance concrete (UHPC) and fiber-reinforced polymer (FRP) strips installed using the externally bonded reinforcement on grooves (EBROG) technique with FRP anchors. Three full-scale walls were tested under cyclic lateral loading: a reference wall (FCW), a UHPC-repaired wall (R-UHPC), and a hybrid UHPC–FRP wall (R-UHPC-FRP). Both repair approaches effectively restored strength, with the hybrid wall exceeding the control’s capacity by 13 % (279 vs. 249 kN). However, ductility decreased by 35–45 % compared to the control (3.8–4.9 vs. 2.25–3.2). Energy dissipation was partially recovered with UHPC but reached up to 90–95 % of the control’s capacity at 2 % drift in the hybrid system. Stiffness retention was also improved, with the hybrid wall maintaining values comparable to the control beyond 1 % drift. Despite lower hysteretic damping than the control, the hybrid wall showed improved damping at higher deformations. Overall, the UHPC–FRP hybrid repair, enhanced by the EBROG method, proves effective in restoring strength and stiffness while substantially recovering energy dissipation, offering a promising solution for seismic rehabilitation of RC shear walls.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100665"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revalorisation of recycled PLA through Halloysite nanotube integration for mechanical and thermal property improvement","authors":"Anbuchezhiyan Gnanasambandam ,&nbsp;Vigneshwaran Shanmugam ,&nbsp;Elif Kaynak ,&nbsp;Oisik Das","doi":"10.1016/j.jcomc.2025.100670","DOIUrl":"10.1016/j.jcomc.2025.100670","url":null,"abstract":"<div><div>This study investigates the effect of Halloysite nanotube (HNT) reinforcement on the mechanical, thermal, and structural properties of recycled polylactic acid (rPLA) composites. Composites were prepared with 1-5 wt.% HNTs and characterised using tensile, flexural, compressive testing, thermogravimetric analysis (TGA), and X-ray diffraction (XRD). Tensile strength increased from 42.98 MPa for neat rPLA to a maximum of 49.39 MPa at 2 wt.% HNT, while tensile modulus improved steadily from 2423.13 MPa to 2971.26 MPa at 5 wt.%. Flexural strength peaked at 78.54 MPa (22 % improvement compared to neat rPLA) at 3 wt.%, and the highest flexural modulus of 2292.30 MPa was achieved at 4 wt.% HNT. Under compressive loading, strength and modulus increased from 100.94 MPa and 2361.52 MPa for neat rPLA to 108.69 MPa and 2479.87 MPa, respectively, at 5 wt.% HNT, showing improved resistance to deformation. Thermal degradation temperatures rose from 452.12 °C for rPLA to 465.58 °C at 5 wt.% HNT, with char residue at 600 °C increasing from 4.23 % to 9.96 %, confirming the thermal barrier effect of Halloysite. XRD analysis showed enhanced crystallinity, increasing from 57.49 % (neat rPLA) to 59.22 % at 5 wt.% HNT, indicating effective nucleation and structural ordering induced by the nanotubes. Overall, the incorporation of 2-4 wt.% Halloysite offered the most balanced improvement in strength, stiffness, and thermal stability. These results demonstrate that rPLA-Halloysite composites can be suitable for sustainable, high-performance applications in packaging, automotive interiors, and structural bioplastics.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100670"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coelacanth-scale inspired thin-ply composites for load-bearing applications","authors":"Marcel Neubacher ,&nbsp;Farida Touni ,&nbsp;Kohei Yamada ,&nbsp;Masaaki Nishikawa ,&nbsp;Bodo Fiedler","doi":"10.1016/j.jcomc.2025.100667","DOIUrl":"10.1016/j.jcomc.2025.100667","url":null,"abstract":"<div><div>Thin-ply composites are known for their superior in-situ strength and manufacturing quality, offering higher unnotched tensile and compressive strengths compared to conventional laminates. However, their damage suppression capability leads to increased notch sensitivity, where the delamination and matrix cracking mechanisms are suppressed. As a result, thin-ply laminates are limited in their use in critical load-bearing applications. To address this, bio-inspired Bouligand structures, defined by their helical fibre arrangements, have shown promise in reducing notch sensitivity through helicoidal matrix cracking and stress redistribution. This study explores the mechanical performance of partial Bouligand layups derived from biological fibre architectures observed on coelacanth fish scales, where fibrils reorient under load. An analytical stiffness-based optimization was performed to match the mechanical properties of the conventional [0°, ±<!--> <!-->45°, 90°] (50<!--> <!-->%, 40<!--> <!-->%, 10<!--> <!-->% load introduction layup used in bolted and riveted aircraft structures, while integrating the partial Bouligand structure. The weights of the two-layer fibres (30<!--> <!-->gsm and 60<!--> <!-->gsm) were investigated, resulting in different pitch and stack angles. Tensile and bearing tests were conducted to evaluate the influence of the partial Bouligand structure on bearing sensitivity. The results indicate that bio-inspired fibre orientation can improve load redistribution and damage tolerance in thin-ply laminates, making them compatible for off-axis and notched applications.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100667"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recycling multi-layer plastic packaging waste as core material for aluminum composite panels in sustainable building applications","authors":"Sokleng Srou ,&nbsp;Ponlapath Tipboonsri ,&nbsp;Supaaek Pramoonmak ,&nbsp;Walanrak Poomchalit ,&nbsp;Anin Memon","doi":"10.1016/j.jcomc.2025.100666","DOIUrl":"10.1016/j.jcomc.2025.100666","url":null,"abstract":"<div><div>This study focuses on the fabrication and comprehensive evaluation of aluminum composite panels (ACPs) using low-density polyethylene (LDPE) and aluminum foil derived from beverage carton packaging waste, with kraft paper removed, as a sustainable core material. Mechanical, microstructural, and environmental properties of the panels were systematically investigated under various compression molding conditions to determine optimal processing parameters. Compression temperatures ranged from 190 °C to 210 °C and pressures from 10 MPa to 14 MPa. Panels were successfully fabricated without the use of adhesive resin, achieving maximum tensile and flexural strengths of approximately 56 MPa and 99 MPa, respectively, at 210 °C and 14 MPa. Microstructural analysis revealed a uniform distribution of aluminum and LDPE within the core, with void content ranging from 5 % to 6 %. Carbon footprint assessment showed that the compression molding process generated about 0.18 kg CO₂ per panel. The findings demonstrate that recycled beverage carton packaging waste is a viable, eco-friendly, and mechanically robust alternative for ACP core materials, offering a promising pathway toward sustainable composite panel manufacturing. Future research will focus on enhancing surface bonding, assessing long-term durability, and scaling up fabrication processes for industrial applications.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100666"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effective properties of viscoelastic piezoelectric materials using homogenisation on representative volume finite elements","authors":"Felipe Ruivo Fuga ,&nbsp;Yunior Muñoz Naranjo ,&nbsp;Reinaldo Rodríguez-Ramos ,&nbsp;José Antonio Otero ,&nbsp;Volnei Tita ,&nbsp;Ricardo De Medeiros","doi":"10.1016/j.jcomc.2025.100663","DOIUrl":"10.1016/j.jcomc.2025.100663","url":null,"abstract":"<div><div>This paper introduces a comprehensive methodology for determining the effective piezo-electromechanical properties considering viscoelastic effects in the composite material. The methodology uses finite element (FE) analysis and homogenisation. By formulating the FE solution as a dynamic equilibrium problem, the proposed approach effectively couples linear elastic piezoelectric fibres within a linear viscoelastic matrix. This couples both complex constitutive behaviours into a single representative cell for time-dependent quasi-static load cases. A virtual stress relaxation test is conducted on a Representative Volume Element (RVE) with periodic boundary conditions. The methodology disregards inertial effects to represent quasi-static loading conditions. It assumes a polymeric matrix phase with only mechanical degrees of freedom. The computed effective time-dependent constitutive coefficients are compared with analytical solutions derived from effective field and asymptotic homogenisation methods for a circular piezoelectric fibre in a viscoelastic polymeric matrix. Despite the simplifying assumption for the polymer matrix, the usage of a time-independent Halpin–Tsai model for effective electric permittivity, coupled with the proposed FE approach, accurately predicts time-dependent behaviour of elastic, piezoelectric and dielectric effective coefficients for different fibre volume ratios. Thus, the proposed approach provides a robust and versatile framework for characterising effective piezoviscoelastic properties. This makes a contribution to the field of micromechanical piezoelectric simulation, paving the way for future research into dynamic effects, more complex material constitutive models, and intricate geometric features.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100663"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eigenmode-based inverse identification and multi-parameter sensitivity analysis of flax/Elium® laminates from unidirectional to cross-ply configurations validation","authors":"Ameny Ketata ,&nbsp;Zouhaier Jendli ,&nbsp;Mondher Haggui ,&nbsp;Abderrahim El Mahi ,&nbsp;Anas Bouguecha ,&nbsp;Mohamed Haddar","doi":"10.1016/j.jcomc.2025.100682","DOIUrl":"10.1016/j.jcomc.2025.100682","url":null,"abstract":"<div><div>This article presents an extended validation of a previously developed inverse identification method, initially applied to unidirectional (UD) flax/Elium® laminates. The study aims to (i) confirm the robustness of the ply-level inverse approach under more complex cross-ply configurations and (ii) identify the dominant mechanical parameters influencing the vibration behavior of biocomposites beyond UD layouts. A comprehensive sensitivity analysis is conducted to assess the influence of material and geometrical parameters on the first seven vibration modes. While E1 and G12 predominantly govern the dynamic response in UD laminates, cross-ply configurations reveal additional influences from the transverse modulus E2 and interlaminar shear modulus G13. Enhanced coupling effects involving G12 are also observed. Structural variability is considered through parameters such as thickness and density, which reflect the heterogeneous nature of bio-based materials. A compensation mechanism is highlighted: increased thickness raises stiffness but also adds mass, partially offsetting frequency gains. The study demonstrates a progressive transition in dominant mechanical parameters across modes: lower modes (f1, f2) are controlled by E1, while higher modes become increasingly sensitive to G12, G13, and, to a lesser extent, E2. The proposed inverse method shows excellent agreement between simulated and experimental modal responses for both 4-ply and 8-ply laminates. The genetic algorithm converges toward realistic values—thickness between 3,03 mm and 3,17 mm and density around 1292 kg/m³—confirming the robustness of the approach. By accounting for both material variability and process-induced dispersion, the method contributes to more reliable modeling and optimized design of natural fiber composites.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100682"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145568279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review on the yarn pull-out behavior of high-performance woven fabrics for impact resistance","authors":"Hanyuan Pan ,&nbsp;Jinzheng Liu ,&nbsp;Jiang Xie ,&nbsp;Zhenyu Feng","doi":"10.1016/j.jcomc.2025.100658","DOIUrl":"10.1016/j.jcomc.2025.100658","url":null,"abstract":"<div><div>High-performance woven fabrics have been widely used in transportation, military, and so on, due to their low density and superior mechanical properties. These structures are commonly exposed to impact loading, including bullets, fragments and blast waves. Yarn interaction is one of the key affecting the impact resistance of fabrics, and methods and results of aramid and ultra-high molecular weight polyethylene yarn pull-out test are mainly reviewed. The factors, including fabric configuration, pull-out speed, inter-yarn friction and so on, affecting the peak pull-out force (PPF) of yarn are summarized in detail. Moreover, the influencing mechanisms of these factors are discussed and revealed by comparison of previous studies. The results indicate that most factors have unified conclusions on the influence of PPF. However, Few conclusions still exist differences, such as whether the relationship of number of pulled yarns and PPF is liner or non-liner, but have been clarified in this paper. Furthermore, the influencing mechanism has become clearer after discussion, but so far, it still remains at the qualitative level. In future research, further standardization of yarn pull-out test is needed to obtain more comparable data. In addition, it is recommended to conduct more yarn pull-out research on the influencing results and mechanisms of these factors under dynamic loading.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100658"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the creep rupture time of GFRP bars using machine learning","authors":"M.Talha Junaid ,&nbsp;Ahed Habib ,&nbsp;Mazen Shrif ,&nbsp;Samer Barakat","doi":"10.1016/j.jcomc.2025.100648","DOIUrl":"10.1016/j.jcomc.2025.100648","url":null,"abstract":"<div><div>Fiber-reinforced polymer (FRP) bars are increasingly utilized in civil structures due to their advantages in terms of corrosion resistance and a high strength-to-weight ratio. Current research on long-term durability, particularly under sustained loading (creep-rupture), has not yet fully explored the use of methods like machine learning to accurately predict the creep rupture time of FRP bars. This study seeks to address this gap by applying machine learning techniques to estimate the creep rupture time of glass fiber-reinforced polymer (GFRP) bars. The motivation for this research comes from the shortcomings of traditional models, which are often inadequate for capturing the complex nonlinear behavior of materials subjected to long-term stress. This research aims to evaluate the effectiveness of different machine learning models, including neural networks, support vector machines, and ensemble methods, in predicting the creep behavior of GFRP bars. Within the study context, a large dataset consisting of 435 experimental tests is collected from the literature. In the testing phase, the optimized neural network achieved an RMSE of 926.29 h and an R² of 0.99 on a heterogeneous dataset that also included bars tested under environmental conditioning reported in the source studies. Gaussian process regression and support vector machines also performed well, albeit with higher errors. Sensitivity analysis revealed that the level of sustained stress and bar diameter were the most critical factors for environmentally conditioned bars. Importantly, the predictors reflect standard design and material descriptors (diameter, fiber content, modulus, UTS, sustained stress) and, when reported, environmental conditioning, which together capture the primary sources of variability relevant to civil engineering practice. Overall, the findings suggest that machine learning, particularly through optimized neural networks, offers a powerful tool for predicting complex material behavior and improving the reliability of GFRP-reinforced structures. This study contributes to the field by highlighting the potential of machine learning to enhance the precision of long-term performance predictions for engineering materials, facilitating improved design and material selection in critical infrastructure.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100648"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A critical review on laser-assisted paint removal from carbon fibre-reinforced polymer: Insights into process parameters, material integrity, and numerical modelling","authors":"Shiyao Zhu ,&nbsp;Jojibabu Panta ,&nbsp;Richard (Chunhui) Yang ,&nbsp;Lin Ye ,&nbsp;Y.X. Zhang","doi":"10.1016/j.jcomc.2025.100654","DOIUrl":"10.1016/j.jcomc.2025.100654","url":null,"abstract":"<div><div>Laser-based paint stripping has emerged as a precise, efficient, and environmentally sustainable technique for removing paints/coatings from carbon fibre-reinforced polymer (CFRP) composites. This review presents a comprehensive analysis of laser-material interaction mechanisms that govern paint removal, including thermal ablation, thermally induced interfacial failure, plasma shock wave generation, and photochemical bond disruption. The influences of thermal and optical properties of CFRP and paint on interaction dynamics and removal behaviours are critically examined. The key laser processing parameters are systematically analysed in relation to stripping efficiency, substrate preservation, and thermal loading. Experimental methods used for monitoring process response and evaluating removal quality are also reviewed. Numerical modelling approaches based on the finite element method are discussed, with a focus on simulating transient heat transfer, interfacial stresses, and coupled effects. Limitations of current models in capturing the complexity of pulsed laser interaction with multilayered paint-composite structure are addressed. The review highlights that while laser stripping offers selective, damage-free paint removal, challenges remain in managing thermal effects, ensuring layer-specific selectivity, and achieving process scalability. Addressing these challenges is essential for translating laser-based stripping into reliable maintenance solutions for aerospace, defence, renewable energy, and automotive industries.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100654"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bayesian modelling approach to hydrogen permeation in fibre-reinforced polymer composites","authors":"Andrew Angus ,&nbsp;Mustafa Okumuş ,&nbsp;Łukasz Figiel","doi":"10.1016/j.jcomc.2025.100630","DOIUrl":"10.1016/j.jcomc.2025.100630","url":null,"abstract":"<div><div>A Bayesian modelling approach is proposed to enable uncertainty quantification of hydrogen permeation in fibre-reinforced polymer composites. Specifically, the approach combines surrogate modelling via Gaussian Process (GP) regression, Bayesian optimisation and Markov Chain Monte Carlo (MCMC) to predict uncertainties in constituent (input) and overall (output) permeability across selected composite scales. By utilising training data from physics-based models (both numerical and analytical) and some experimental data available in the literature, the probabilistic approach is illustrated with examples demonstrating its capability in statistical inference of fibre permeability at the microscale, uncertainty quantification of effective permeability in a multilayered system, and simple probabilistic design at the component level.</div></div>","PeriodicalId":34525,"journal":{"name":"Composites Part C Open Access","volume":"18 ","pages":"Article 100630"},"PeriodicalIF":7.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144894758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}