Composite Structures最新文献_第2页

ML-based predictive framework for impact response analysis of foam-filled lattice composite cylinders 基于ml的泡沫填充点阵复合材料圆柱体冲击响应分析预测框架

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-20 DOI: 10.1016/j.compstruct.2026.120077

Jiye Chen , Zhixiong Zhang , Hai Fang , Yufeng Zhao , Dejun Kong

Numerical simulations provide crucial theoretical support for optimizing design and operational management. However, their practical application is limited by infeasibility and high computational costs. Machine learning (ML) methods, with their notable efficiency and accuracy, have emerged as powerful tools to address these challenges. A novel framework is proposed to predict the impact responses of foam-filled lattice composite cylinders (FLCCs), integrating precise numerical simulation analyses, metamodels, fast Fourier transform (FFT), and inverse fast Fourier transform (IFFT) methods. Initially, robust numerical models were developed to evaluate the crashworthiness of three different types of FLCCs subjected to impact loading, accompanied by energy transformation analysis. Subsequently, in combination with FFT and IFFT techniques, various metamodels were employed to predict the force–time and displacement–time histories of the FLCCs. Each FLCC type included more than 1000 frequency points, and all constructed metamodels achieved R-square (R²) values greater than 0.95. These results indicate that the proposed framework can effectively predict impact duration and response characteristics in the frequency domain. Furthermore, sensitivity analysis revealed that higher peak impact forces (PIFs) are associated with greater resistance to impact deformation. An increase in glass fiber reinforced polymer (GFRP) thickness led to a marked enhancement in the resistance to impact deformation.

数值模拟为优化设计和运行管理提供了重要的理论支持。然而，它们的实际应用受到不可行性和高计算成本的限制。机器学习（ML）方法以其显著的效率和准确性，已经成为解决这些挑战的强大工具。结合精确数值模拟分析、元模型、快速傅立叶变换（FFT）和反快速傅立叶变换（IFFT）方法，提出了一种预测泡沫填充点阵复合材料圆柱体（flcc）冲击响应的新框架。首先，建立了稳健的数值模型来评估三种不同类型的flcc在冲击载荷下的耐撞性，并进行了能量转换分析。随后，结合FFT和IFFT技术，采用各种元模型预测flcc的力-时间和位移-时间历史。每种FLCC类型包含1000多个频率点，所有构建的元模型的r平方（R2）值均大于0.95。结果表明，该框架能有效预测冲击持续时间和频域响应特性。此外，敏感性分析显示，更高的峰值冲击力（pif）与更大的冲击变形阻力相关。玻璃纤维增强聚合物（GFRP）厚度的增加导致抗冲击变形能力的显著增强。

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引用次数: 0

Enhanced energy absorption of CF/PEEK tube via a novel wrapping-braiding-hot pressing method 采用新型缠绕-编织-热压方法增强CF/PEEK管的吸能

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-20 DOI: 10.1016/j.compstruct.2026.120082

Yuanhao Xia , Yiping Zhao , Dongsheng Li , Zeyu Sun , Yu Gao , Dengteng Ge , Lili Yang

Thermoplastic composite tubes are widely used in aerospace and transportation for their high strength-to-weight ratio, excellent energy absorption, design flexibility and high-temperature stability, serving as key crash-energy absorbers in automotive and aerospace structures. However, fabricating low-density tubes with high energy absorption and clarifying their failure mechanisms remain challenging. Herein, a novel wrapping-braiding-hot pressing process is reported for continuous carbon-fiber reinforced polyetheretherketone (CCF/PEEK) tubes with ultra-low density (0.5–0.6 g/cm³) and high specific energy absorption (SEA, 55.8 kJ/kg). PEEK powder impregnation and filament wrapping enhance fiber-resin wetting. Under quasi-static compression conditions, axial yarn reinforcement boosts performance: tubes with 14 axial yarns exhibit 77.5% higher total energy absorption (EA) and 53.3% higher SEA than those without axial yarns. At 170 °C, the compressive performance and SEA retention exceed 95%. X-ray computed tomography reveals failure modes including braid rupture, prepreg fracture, matrix cracking and delamination, providing a novel strategy for high-performance thermoplastic composite tube fabrication.

热塑性复合材料管具有高强重比、优异的吸能性、设计灵活性和高温稳定性，是汽车和航空航天结构中重要的碰撞吸能材料，广泛应用于航空航天和交通运输领域。然而，制造具有高能量吸收的低密度管并阐明其失效机制仍然具有挑战性。本文报道了超低密度（0.5 ~ 0.6 g/cm3）、高比能吸收（SEA, 55.8 kJ/kg）连续碳纤维增强聚醚醚酮（CCF/PEEK）管的缠绕-编织-热压新工艺。PEEK粉末浸渍和长丝包裹增强了纤维树脂的润湿性。在准静态压缩条件下，轴向纱增强提高了性能：与不含轴向纱的钢管相比，含14根轴向纱的钢管的总能量吸收（EA）提高了77.5%，SEA提高了53.3%。在170°C时，压缩性能和SEA保留率超过95%。x射线计算机断层扫描显示了编织断裂、预浸料断裂、基体开裂和分层等失效模式，为高性能热塑性复合材料管的制造提供了新的策略。

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引用次数: 0

Three-dimensional computational homogenization of cracked composite materials using state-based peridynamics and MPI parallelization 基于状态动力学和MPI并行化的裂纹复合材料三维计算均匀化

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-20 DOI: 10.1016/j.compstruct.2026.120085

Wenxuan Xia, Erkan Oterkus, Selda Oterkus

This paper presents a scalable three-dimensional computational framework for the homogenization of cracked composite materials using the ordinary state-based peridynamic formulation. The method integrates a generalized bond-breaking algorithm, based on a modified Möller–Trumbore raytracing scheme, which transforms arbitrary crack surfaces into triangle mesh representations, enabling robust and geometry-independent fracture detection. Volumetric periodic boundary conditions are implemented to ensure energetic consistency and compatibility with the Hill–Mandel macro-homogeneity condition.

To address the substantial computational cost of 3D nonlocal models, the framework employs MPI-based domain decomposition combined with PETSc iterative solvers, achieving strong parallel scalability for representative volume elements (RVEs) containing millions of material points. Numerical experiments on fiber-reinforced composite RVEs, both intact and pre-cracked, demonstrate the framework’s ability to capture complex three-dimensional fracture patterns and accurately predict effective stiffness properties.

The proposed approach offers a robust, general purpose, and high performance solution for microscale fracture analysis and homogenization in composite materials, with potential applicability to broader classes of heterogeneous and damage-prone materials.

本文提出了一个可扩展的三维计算框架，用于裂纹复合材料的均匀化，使用普通的基于状态的周动力学公式。该方法集成了一种基于改进Möller-Trumbore射线追踪方案的广义断裂算法，该算法将任意裂纹表面转换为三角形网格表示，从而实现鲁棒性和几何无关的断裂检测。采用了体积周期边界条件，以保证与Hill-Mandel宏观均匀性条件的能量一致性和相容性。为了解决三维非局部模型计算成本高的问题，该框架采用基于mpi的域分解与PETSc迭代求解相结合的方法，实现了包含数百万个材料点的代表性体元（rve）的强大并行可扩展性。在完整和预裂的纤维增强复合材料RVEs上进行的数值实验表明，该框架能够捕捉复杂的三维断裂模式，并准确预测有效刚度特性。所提出的方法为复合材料的微尺度断裂分析和均质化提供了一种强大、通用、高性能的解决方案，并可能适用于更广泛的非均质和易损伤材料。

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引用次数: 0

Concurrent topology and fiber orientation optimization of short‑fiber reinforced cementitious composites using the BESO method and anisotropic Drucker-Prager criterion 利用BESO方法和各向异性Drucker-Prager准则优化短纤维增强胶结复合材料的拓扑结构和纤维取向

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-20 DOI: 10.1016/j.compstruct.2026.120083

Mujahed Alsomiri , Yiyi Zhou , Yi Min Xie , Xubo Zhang

Topology optimization of anisotropic short‑fiber-reinforced cementitious composites (SFRCC) remains a challenging task due to their complex behavior and failure modes. This study presents a novel concurrent optimization framework for SFRCC that simultaneously optimizes structural topology and short fiber orientations. The approach extends the bi-directional evolutionary structural optimization (BESO) method to handle cementitious composites with direction-dependent properties, pressure–sensitivity, and tension–compression asymmetry through a formulated anisotropic Drucker-Prager (ADP) criterion. Fiber orientations are biased towards evolving load paths for maximum efficiency and bounded by manufacturing-aware feasible deviations. The optimization model minimizes a global p‑norm aggregation of element‑wise ADP failure indices, with sensitivities derived via adjoint analysis for both topology and fiber orientation variables. The update schemes for the topology and fibers are implemented by an iterative alternating optimization algorithm. The effectiveness of the proposed approach is demonstrated using several benchmark examples. The impacts of the design and initialization parameters are systematically examined, providing insights into the topological responses under varied conditions. The results show that the approach yields stable, robust, and structurally efficient designs, serving as a practical design tool for SFRCC structures with tailored anisotropy.

各向异性短纤维增强胶凝复合材料（SFRCC）由于其复杂的性能和破坏模式，拓扑优化一直是一项具有挑战性的任务。本研究提出了一种新型的SFRCC并行优化框架，该框架可以同时优化结构拓扑和短纤维取向。该方法扩展了双向进化结构优化（BESO）方法，通过制定的各向异性Drucker-Prager （ADP）准则来处理具有方向依赖性、压力敏感性和拉压不对称性的胶结复合材料。为了获得最大的效率，光纤取向偏向于不断发展的负载路径，并受到制造感知可行偏差的限制。优化模型最大限度地减少了单元ADP失效指数的全局p范数集合，并通过对拓扑和光纤方向变量的伴随分析得出了灵敏度。拓扑和光纤的更新方案采用迭代交替优化算法实现。通过几个基准算例验证了该方法的有效性。系统地检查了设计和初始化参数的影响，提供了对不同条件下拓扑响应的见解。结果表明，该方法可产生稳定、鲁棒和结构高效的设计，为具有定制各向异性的SFRCC结构提供实用的设计工具。

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引用次数: 0

Numerical framework for assessing the reusability of polymer laminates in marine environments under static loading 海洋环境下静载荷下聚合物层压板再用性评估的数值框架

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-19 DOI: 10.1016/j.compstruct.2025.119987

H. Vidinha, M.A. Neto, R. Branco

This study outlines a numerical framework for assessing the reusability of glass fibre-reinforced polymer laminates exposed to marine environments. The proposed approach integrates Fick’s law to model moisture diffusion, Puck’s failure criteria to predict fibre-dominated and matrix-dominated failure modes, and the element weakening method to simulate progressive material degradation. Experimental validation was conducted using specimens previously subjected to fatigue loading. Seven groups of reused specimens were created: one without aqueous diffusion during reuse and six with varying levels of seawater-induced damage considering two exposure times (70 and 300 days) and three permeability conditions controlled by applying coatings to selected surfaces of the specimens. The proposed numerical framework provided good predictions of ultimate tensile strength and contributed to understanding the mechanical behaviour of the tested composite material, proving to be suitable for assessing the reusability of polymer composite laminates. While the ultimate tensile strength did not decrease significantly with additional seawater damage, the changes in Young’s modulus were pronounced, emphasising the need for careful consideration in extended-use applications. In this context, incorporating surface coatings can mitigate the degradation induced by seawater exposure and improve the overall mechanical performance and longevity.

本研究概述了一个数值框架，用于评估暴露在海洋环境中的玻璃纤维增强聚合物层压板的可重用性。该方法集成了用于模拟水分扩散的菲克定律，用于预测纤维主导和基质主导破坏模式的Puck破坏准则，以及用于模拟材料渐进降解的单元弱化法。实验验证是使用先前经受疲劳载荷的试样进行的。创建了七组重复使用的样品：一组在重复使用期间没有水扩散，六组考虑两次暴露时间（70天和300天）和三种渗透性条件（通过在样品的选定表面涂上涂层来控制），具有不同程度的海水诱导损伤。所提出的数值框架提供了很好的极限拉伸强度预测，有助于理解所测试复合材料的力学行为，证明适用于评估聚合物复合材料层压板的可重用性。虽然极限抗拉强度不会因额外的海水损伤而显著降低，但杨氏模量的变化是明显的，这强调了在扩展应用中需要仔细考虑的问题。在这种情况下，结合表面涂层可以减轻海水暴露引起的降解，提高整体机械性能和寿命。

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引用次数: 0

Data-driven multi-objective optimization of 102 MPa stationary hydrogen storage vessels: enhancing performance and cost efficiency through liner and composite layer design 数据驱动的102 MPa固定式储氢容器多目标优化：通过衬垫和复合层设计提高性能和成本效率

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-18 DOI: 10.1016/j.compstruct.2026.120063

Haiyang Ou, Peng Jiao, Huangyang Xu, Xinshuang Li, Zhiping Chen

The growing demand for extended driving range, together with advances in materials and manufacturing technologies, is driving higher hydrogen storage pressures and, consequently, increased vessel manufacturing costs. Achieving an optimal balance between vessel performance and material cost therefore requires careful consideration of multiple design parameters. However, traditional numerical analysis and optimization methods for such tasks are often computationally intensive. To address this issue, this study presents a novel multi-objective optimization framework that integrates a Transformer model, the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This framework simultaneously optimizes the liner and composite layer parameters and introduces a new characterization method for composite layer design to reduce design constraints. Key design parameters are transformed into images, from which structured matrices are extracted and fed into the Transformer model to capture sequential information in the composite layers. Compared to finite element analysis (FEA) and traditional machine learning models, the proposed approach significantly reduces computational costs while expanding the design space and improving prediction accuracy. By combining the NSGA-II optimization algorithm with TOPSIS ranking, an optimal design solution that meets performance requirements is achieved. Furthermore, although this comprehensive framework was developed for Type III vessels, it can be readily extended to Type IV vessels and other composite structures.

随着材料和制造技术的进步，对延长行驶里程的需求不断增长，正在推动更高的储氢压力，从而增加了容器制造成本。因此，在容器性能和材料成本之间实现最佳平衡需要仔细考虑多个设计参数。然而，对于此类任务，传统的数值分析和优化方法往往是计算密集型的。为了解决这一问题，本研究提出了一个新的多目标优化框架，该框架集成了Transformer模型、非支配排序遗传算法II （NSGA-II）和理想解相似性排序偏好技术（TOPSIS）。该框架同时优化了衬垫和复合层参数，为复合层设计引入了一种新的表征方法，减少了设计约束。将关键设计参数转换为图像，从中提取结构化矩阵并将其输入Transformer模型以捕获复合层中的顺序信息。与有限元分析（FEA）和传统的机器学习模型相比，该方法显著降低了计算成本，同时扩大了设计空间，提高了预测精度。将NSGA-II优化算法与TOPSIS排序相结合，得到满足性能要求的最优设计方案。此外，虽然这个综合框架是为第三类血管开发的，但它可以很容易地扩展到第四类血管和其他复合结构。

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引用次数: 0

Crashworthiness study of novel auxetic tubular metamaterials based on deep-sea glass sponge 基于深海玻璃海绵的新型增塑型管状材料耐撞性研究

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-18 DOI: 10.1016/j.compstruct.2026.120073

Hongbo Zhang , Yuan Li , Dayong Hu , Zhen Zhang , Zhiqiang Zhang , Xianfeng Yang

Auxetic tubular metamaterials have garnered significant attention for their remarkable mechanical properties and promising applications in transportation, construction, biomedicine, and other fields. In this study, the skeletal structure of deep-sea glass sponges is introduced into tubular designs, leading to the development of two novel auxetic tubular metamaterials. Experimental results demonstrate these sponge-inspired tubular metamaterials exhibit stable auxetic behavior throughout the compression process. Compared to traditional auxetic metamaterials, the proposed designs show enhanced structural stability and an extended plateau region, achieving an impressive improvement in specific energy absorption, approximately 760.0% higher than re-entrant structures. Parametric studies further reveal the effects of geometric parameters on mechanical performance. Specifically, the thickness ratio enables the tuning of Poisson’s ratio across negative, zero, and positive values, while diagonal distance and unit size facilitate tailored deformation modes and enhanced energy absorption. Additionally, a foam-filled strategy is implemented to maximize energy absorption potential. The interaction between the filler and tubular cell walls results in uniform deformation, increasing the crushing force and specific energy absorption by 131.3% and 62.8%, respectively, compared to the hollow structure. These findings offer valuable insights into the design of bionic sponge metamaterials and underscore the potential of tubular metamaterials for structural crashworthiness applications.

增塑型管状超材料以其优异的力学性能和在交通运输、建筑、生物医药等领域的应用前景受到广泛关注。本研究将深海玻璃海绵的骨骼结构引入到管状设计中，从而开发了两种新型的增塑型管状超材料。实验结果表明，海绵启发的管状超材料在整个压缩过程中表现出稳定的失活行为。与传统的增塑型超材料相比，所提出的设计具有更强的结构稳定性和更大的平台区域，在比能量吸收方面取得了令人印象深刻的改善，比再入结构高出约760.0%。参数化研究进一步揭示了几何参数对力学性能的影响。具体来说，厚度比可以使泊松比在负值、零值和正值之间进行调整，而对角线距离和单位尺寸则有助于定制变形模式和增强能量吸收。此外，泡沫填充策略的实施，以最大限度地提高能量吸收潜力。填料与管状细胞壁的相互作用使其变形均匀，破碎力和比能吸收比空心结构分别提高了131.3%和62.8%。这些发现为仿生海绵超材料的设计提供了有价值的见解，并强调了管状超材料在结构耐撞应用方面的潜力。

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引用次数: 0

An analytical framework to predict the 3D stress field in pressurised, thick-walled composite shells of revolution 一种预测旋转厚壁复合材料受压壳体三维应力场的分析框架

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-17 DOI: 10.1016/j.compstruct.2026.120059

Marie Hondekyn , Matteo Pastrello , Nazim Ali , Wim Van Paepegem

Pressurised composite shells of revolution are widely employed in engineering applications, where increasingly demanding loading conditions have led to the use of larger composite thicknesses. At higher thickness-to-radius ratios, their mechanical response deviates from that of thinner structures, necessitating more advanced analytical methods beyond classical shell theories. This study presents a 3D elasticity-based analytical model for the mechanical analysis of pressurised, thick-walled composite shells of revolution with arbitrary geometry. Special attention is given to manufacturing-related features by including the variations in fibre volume fraction, winding angle, and material properties into the governing equations. An exact solution to these equations is presented for quasi-isotropic spheres under uniform pressure, while the more complex case of an axisymmetric shell with arbitrary geometry and lay-up is solved using the finite difference method. The correctness of both methods is investigated by comparing various case studies to finite element simulations. The results obtained by both the exact and the finite difference solution exhibit close agreement with the simulations, while reducing the computation time by factors of 100,000 and 1,000, respectively. As such, our analytical framework enables an efficient and accurate identification of the critical regions, making it well-suited for design optimisation studies involving numerous parameter iterations.

旋转增压复合材料壳体在工程应用中得到了广泛的应用，其中越来越苛刻的加载条件导致使用更大的复合材料厚度。在较高的厚度-半径比下，它们的力学响应与较薄结构的力学响应不同，这就需要在经典壳理论之外采用更先进的分析方法。本研究提出了一种基于三维弹性的分析模型，用于任意几何形状的受压、厚壁旋转复合材料壳体的力学分析。通过将纤维体积分数、缠绕角和材料性能的变化纳入控制方程，特别关注与制造相关的特征。对于均匀压力下的准各向同性球，给出了这些方程的精确解，而对于具有任意几何形状和铺层的轴对称壳，则采用有限差分法求解了更为复杂的情况。通过比较不同的实例与有限元模拟，验证了两种方法的正确性。精确解和有限差分解的计算结果与模拟结果非常吻合，计算时间分别减少了10万倍和1000倍。因此，我们的分析框架能够有效和准确地识别关键区域，使其非常适合涉及众多参数迭代的设计优化研究。

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引用次数: 0

Performance study of high load-bearing and low-frequency vibration-isolating ligament-oscillator star-shaped honeycomb metamaterial 高承载低频隔振韧带-振子星形蜂窝超材料性能研究

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-17 DOI: 10.1016/j.compstruct.2026.120078

Yanchu Chen , Hui Guo , Pei Sun , Shuang Huang , Yansong Wang , Xiaolong Xie

The application of honeycomb metamaterials in low-frequency vibration isolation is limited by the mass law. To overcome the limitation, two innovative designs are proposed: a ligament-reinforced self-similar star-shaped honeycomb metamaterial (LSSHM) and a ligament-oscillator star-shaped honeycomb metamaterial (LSHM). Their load-bearing and vibration isolation properties are investigated through equivalent models, simulations, and experiments. Results show that the LSHM increases the compressive load capacity by 244 % over the original star-shaped honeycomb metamaterial (OSHM) and exhibits a complete bandgap (BG) from 371 to 797 Hz (426 Hz bandwidth). Parametric analysis indicates that ligament angle and thickness provide effective means for the dual tuning of structural stiffness and BG properties. This work provides a viable design strategy for multifunctional metamaterials that integrate these two critical properties.

蜂窝超材料在低频隔振中的应用受到质量定律的限制。为了克服这一限制，提出了两种创新设计：韧带增强自相似星形蜂窝超材料（LSSHM）和韧带振荡星形蜂窝超材料（LSHM）。通过等效模型、仿真和实验研究了它们的承载和隔振性能。结果表明，LSHM比原始星形蜂窝超材料（OSHM）提高了244%的压缩载荷能力，并呈现出371 ~ 797 Hz的完整带隙（BG）（带宽为426 Hz）。参数分析表明，韧带角度和厚度为结构刚度和BG性能的双重调节提供了有效手段。这项工作为集成这两个关键特性的多功能超材料提供了一种可行的设计策略。

引用次数: 0

Progressive failure model for predicting the tensile behavior of UD-FRPs incorporating interfacial debonding 结合界面剥离的ud - frp拉伸行为预测的渐进破坏模型

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures

Pub Date : 2026-01-17 DOI: 10.1016/j.compstruct.2026.120075

Yangping Liu , Chengming Lan , Shanghong Huang , Nani Bai , Jianjun Wang

The longitudinal tensile failure of unidirectional fiber-reinforced polymers (UD-FRPs) is governed by complex interactions among various damage mechanisms. To address the limitations of existing models in capturing the progression of interfacial damage, this study proposes a progressive failure model incorporating interfacial debonding (PFMID) to investigate the tensile failure process and predict the tensile behavior of UD-FRPs. Firstly, a novel representative volume element (RVE) with a defined external boundary is established to consider boundary effects. Based on the conservation of potential energy, a multi-fiber interfacial debonding principle is developed to characterize the initiation and propagation of damage at the fiber–matrix interface near fiber breaks. A damage variable is introduced to quantify the loss of load-carrying capacity along both the debonding length and the ineffective length, enabling a precise analysis of stress redistribution around fiber breaks. To balance calculation accuracy and efficiency, convergence criteria for determining the characteristic RVE size are established for the PFMID. Monte Carlo simulations (MCSs) are conducted to validate the tensile behavior against experimental data. The predicted results indicate that boundary effects on tensile strength are not significant for UD-FRPs. However, boundary effects do reduce the critical cluster sizes at the external boundary. An increase in the critical energy release rate and interfacial friction shear stress can improve both the tensile strength and failure strain of UD-FRPs. The proposed PFMID can be used to predict the tensile behavior of UD-FRPs, providing essential insights into the microscale failure process of UD-FRPs.

单向纤维增强聚合物（ud - frp）的纵向拉伸破坏是多种损伤机制复杂相互作用的结果。为了解决现有模型在捕捉界面损伤进展方面的局限性，本研究提出了一个包含界面脱粘（PFMID）的渐进破坏模型，以研究ud - frp的拉伸破坏过程并预测其拉伸行为。首先，考虑边界效应，建立具有明确外部边界的新型代表体元；基于势能守恒，建立了多纤维界面剥离原理，用于表征纤维断裂附近纤维-基体界面损伤的发生和传播。引入损伤变量来量化沿剥离长度和无效长度的承载能力损失，从而能够精确分析纤维断裂周围的应力重新分布。为了平衡计算精度和效率，建立了确定PFMID特征RVE大小的收敛准则。通过蒙特卡罗模拟（mcs）对实验数据进行了验证。预测结果表明，边界效应对ud - frp的拉伸强度影响不显著。然而，边界效应确实降低了外部边界的临界簇大小。临界能量释放率和界面摩擦剪应力的增加可以提高ud - frp的抗拉强度和破坏应变。所提出的PFMID可用于预测ud - frp的拉伸行为，为ud - frp的微尺度破坏过程提供必要的见解。

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引用次数: 0