【新文速递】2024年1月4日复合材料SCI期刊最新文章

今日更新：Composite Structures 3 篇，Composites Part A: Applied Science and Manufacturing 1 篇Composite StructuresEffective Magnetoelastic Responses of Hybrid fiber Composites with Viscoelastic MatricesChien-hong Lin, Chia-Ju Lindoi:10.1016/j.compstruct.2024.117874带粘弹性基材的混合纤维复合材料的有效磁弹性响应This study examines the overall magnetoelastic responses of unidirectional fiber composites constructed by magnetostrictive fibers embedded in viscoelastic polymer matrices that had been reinforced by stiff fillers. In some polymer-based fiber composites, modifying polymer’s property by infiltrating particulate fillers is necessary. To design such hybrid composite systems with magnetoelastic coupling, it requires a detailed understanding of aggregate responses. In this study, we formulate a composite constitutive model based on a two-scale homogenization scheme for effective coupled viscoelastic and magnetoelastic responses for hybrid fiber composites. We first verify the validity of the model by comparing the predictions with experimental results available in literatures. We next investigate the performance of a hybrid composite in light of blocked stress and free strain which are two common factors of characterizing sensors and actuators. We finally elucidate how viscoelastic polymer matrices affect the overall magnetoelastic responses and ΔE-effect phenomenon in terms of some critical parameters such as phase concentrations, loading rates, prestresses and temperatures. The findings of this study serve as a preliminary guidance for the rational design of hybrid magnetostrictive composite materials. The proposed mathematics model can further integrate into a finite element framework for composite structure analysis.本研究探讨了单向纤维复合材料的整体磁弹性响应，该复合材料由嵌入粘弹性聚合物基体中的磁致伸缩纤维构成，基体由硬质填料增强。在某些聚合物基纤维复合材料中，有必要通过渗入颗粒填料来改变聚合物的特性。要设计这种具有磁弹性耦合的混合复合材料系统，需要详细了解骨料的反应。在本研究中，我们基于双尺度均质化方案，为混合纤维复合材料的有效耦合粘弹性和磁弹性响应建立了一个复合材料构成模型。我们首先将预测结果与文献中的实验结果进行比较，验证模型的有效性。接下来，我们根据阻塞应力和自由应变这两个表征传感器和致动器的常见因素来研究混合复合材料的性能。最后，我们阐明了粘弹性聚合物基体如何在相浓度、加载速率、预应力和温度等关键参数方面影响整体磁弹性响应和 ΔE 效应现象。本研究的结果为合理设计混合磁致伸缩复合材料提供了初步指导。所提出的数学模型可进一步集成到复合材料结构分析的有限元框架中。Physics-Guided Deep Learning for Damage Detection in CFRP Composite StructuresXuebing Xu, Cheng Liudoi:10.1016/j.compstruct.2024.117889物理引导的深度学习用于 CFRP 复合材料结构的损伤检测Structural health monitoring of carbon fiber reinforced plastics composite structures based on deep learning usually builds on black box models for damage detection. However, the lack of physics knowledge limits its application into real-world problems where structural property or environmental condition varies. To overcome this limitation, we propose a physics-guided deep learning framework to integrate physics into data-driven models. This physics-guided convolutional neural network leverages structural degradation trend and physical consistency by combining the output of the physical model with the observed feature in a hybrid model. This hybrid model uses an additional branch to observe the information of stiffness degradation, which is the input into the physical model to describe the damage growth in structures by establishing a relationship with the power spectral density change in the guided wave signals. Additionally, the physics-based loss function is designed as part of the learning objective to ensure the model outputs satisfy the existing physics and maintain physical consistency. Experiment results show that our method demonstrates great generalizability that by training on data of only one particular CFRP composite structure, the PGCNN model can expand its great performance on all other CFRP layups in the NASA-published CFRP Dataset with over 90% accuracy.基于深度学习的碳纤维增强塑料复合结构的结构健康监测通常建立在黑盒模型的基础上进行损伤检测。然而，物理知识的缺乏限制了其在结构特性或环境条件变化的实际问题中的应用。为了克服这一局限，我们提出了一种物理引导的深度学习框架，将物理知识整合到数据驱动的模型中。这种物理引导的卷积神经网络通过将物理模型的输出与混合模型中的观测特征相结合，充分利用了结构退化趋势和物理一致性。该混合模型使用额外的分支来观察刚度退化信息，并将其输入物理模型，通过与导波信号的功率谱密度变化建立联系来描述结构的损伤增长。此外，还设计了基于物理的损失函数，作为学习目标的一部分，以确保模型输出满足现有物理条件并保持物理一致性。实验结果表明，我们的方法具有很强的普适性，只需在一个特定 CFRP 复合材料结构的数据上进行训练，PGCNN 模型就能在 NASA 发布的 CFRP 数据集中的所有其他 CFRP 层状结构上扩展其卓越性能，准确率超过 90%。Tension-tension fatigue properties of multiaxial laminated carbon/epoxy composites molded by high-pressure resin transfer molding (HP-RTM) processSARKER Sagar, QIN Xiaohong, YU Bing, MA Heshan, YANG Yuqiu, GAO Congdoi:10.1016/j.compstruct.2024.117892采用高压树脂传递模塑（HP-RTM）工艺成型的多轴层压碳/环氧复合材料的拉伸疲劳特性Engineering structures are often subjected to cyclic-loading conditions, which detrimentally affect the component’s service life and damage tolerance. The fatigue behavior of multiaxial laminated composites manufactured with unidirectional plies has been analyzed. Carbon/epoxy composite laminate was molded by a high-pressure resin transfer molding (HP-RTM) process. Specimens were subjected to tension-tension (T-T) fatigue stress of 65%-75% of static tensile strength until failure or up to one million cycles. An analysis of the maximum stress-cycle number (S-N) curve is conducted to determine the fatigue limits of the material. The predetermined fatigue limit has been obtained at 717.5 MPa stress, which is about 67% of static tensile strength under tension-tension stress conditions. Fatigue failures under tension-tension loading conditions are associated with fiber breakage, fiber pull-out, and plies delamination. This research aimed to understand the fatigue behavior and fracture mechanism of multiaxial laminated composites under tension-tension cyclic loading conditions and collect more data for future research.工程结构经常会受到循环加载条件的影响，从而对部件的使用寿命和损伤容限产生不利影响。本文分析了使用单向层制造的多轴层压复合材料的疲劳行为。碳/环氧复合材料层压板采用高压树脂传递模塑（HP-RTM）工艺成型。试样经受静态拉伸强度 65%-75% 的拉伸-拉伸（T-T）疲劳应力，直至失效或达到一百万次循环。对最大应力-循环次数（S-N）曲线进行分析，以确定材料的疲劳极限。预设的疲劳极限为 717.5 兆帕应力，约为拉伸应力条件下静态抗拉强度的 67%。拉伸-张力加载条件下的疲劳失效与纤维断裂、纤维拉出和层间分层有关。本研究旨在了解多轴层压复合材料在拉伸-张力循环加载条件下的疲劳行为和断裂机理，并为今后的研究收集更多数据。Composites Part A: Applied Science and ManufacturingNumerical investigation of two-dimensional Mode-II delamination in composite laminatesCongzhe Wang., Anastasios P. Vassilopoulos., Thomas Kellerdoi:10.1016/j.compositesa.2024.108012复合材料层压板中二维模式 II 分层的数值研究Existing standards for delamination tests on composite materials typically employ one-dimensional (1D) beam specimens. However, such specimens may not represent real delamination scenarios in composite structures, where cracks tend to propagate in two dimensions. To address this limitation and compare the delamination behavior under both 1D and two-dimensional (2D) Mode-II fracture conditions, a numerical investigation was carried out based on previous experiments. A novel cohesive zone model, considering both microcracking and fiber bridging within the fracture process zone, was developed using a semi-experimental approach and incorporated in three-dimensional finite element simulations. According to the numerical results, the investigated laminates exhibited similar maximum strain energy release rates in both 1D and 2D delamination; however, different traction-separation responses were obtained. Practical methods of locating the tip of an embedded crack were proposed based on curvature and strain measurements on the laminate surface, demonstrating potential for application in structures with irregular crack shapes.复合材料分层测试的现有标准通常采用一维（1D）梁试样。然而，这种试样可能无法代表复合材料结构中的真实分层情况，因为复合材料结构中的裂纹往往会在二维范围内扩展。为了解决这一局限性，并比较一维和二维 (2D) 模式 II 断裂条件下的分层行为，我们在之前实验的基础上进行了数值研究。采用半实验方法开发了一种考虑到断裂过程区内微裂纹和纤维桥接的新型内聚区模型，并将其纳入三维有限元模拟中。数值结果表明，所研究的层压板在一维和二维分层中表现出相似的最大应变能释放率，但却获得了不同的牵引分离响应。根据层压板表面的曲率和应变测量结果，提出了定位嵌入裂纹尖端的实用方法，显示了在具有不规则裂纹形状的结构中的应用潜力。来源：复合材料力学仿真Composites FEM