【新文速递】2024年10月8日复合材料SCI期刊最新文章

今日更新：Composite Structures 1 篇，Composites Part A: Applied Science and Manufacturing 1 篇，Composites Part B: Engineering 1 篇，Composites Science and Technology 1 篇Composite StructuresQuantum computing with error mitigation for data-driven computational homogenizationZengtao Kuang, Yongchun Xu, Qun Huang, Jie Yang, Chafik El Kihal, Heng Hudoi:10.1016/j.compstruct.2024.118625基于数据驱动计算均匀化的误差缓解量子计算As a crossover frontier of physics and mechanics, quantum computing is showing its great potential in computational mechanics. However, quantum hardware noise remains a critical barrier to achieving accurate simulation results due to the limitation of the current hardware. In this paper, we integrate error-mitigated quantum computing in data-driven computational homogenization, where the zero-noise extrapolation (ZNE) technique is employed to improve the reliability of quantum computing. Specifically, ZNE is utilized to mitigate the quantum hardware noise in two quantum algorithms for distance calculation, namely a Swap-based algorithm and an H-based algorithm, thereby improving the overall accuracy of data-driven computational homogenization. Multiscale simulations of a 2D composite L-shaped beam and a 3D composite cylindrical shell are conducted with the quantum computer simulator Qiskit, and the results validate the effectiveness of the proposed method. We believe this work presents a promising step towards using quantum computing in computational mechanics.量子计算作为物理学和力学的交叉前沿，在计算力学中显示出巨大的潜力。然而，由于现有硬件的限制，量子硬件噪声仍然是实现精确仿真结果的关键障碍。在本文中，我们将误差缓解量子计算集成到数据驱动的计算均匀化中，其中使用零噪声外推(ZNE)技术来提高量子计算的可靠性。具体来说，在基于swap的距离计算算法和基于h的距离计算算法中，利用ZNE来减轻量子硬件噪声，从而提高数据驱动计算均匀化的整体精度。利用量子计算机模拟器Qiskit对二维复合材料l型梁和三维复合材料圆柱壳进行了多尺度模拟，结果验证了所提方法的有效性。我们相信这项工作为在计算力学中使用量子计算迈出了有希望的一步。Composites Part A: Applied Science and ManufacturingHigh deformation/damage localization accuracy of fibrous composites through deep-learning of single channel data from carbon nanotube sensorsXiaowei Jiang, Wenjin Zhang, Xiaodong Wang, Ling Liudoi:10.1016/j.compositesa.2024.108512基于碳纳米管传感器单通道数据深度学习的纤维复合材料高变形/损伤定位精度A convolutional neural network (CNN) model by deep-learning single channel data from a serpentine carbon nanotube sensor (S-CNT) with gradient distributed CNTs is proposed for locating deformation/damage in carbon fiber reinforced plastic (CFRP). The real-time resistance-time data caused by bending deformation of CFRP embedded with S-CNT are encoded into more discriminative 2D images for training the CNN. The results show that an accurate deformation localization within 1.5 mm for the trained positions can be obtained. Moreover, static-indentation loading reveals that the CNN model also has high localization accuracy for new deformation/damage locations in CFRP, with an error of less than 5.5 mm.提出了一种基于深度学习梯度分布的蛇形碳纳米管传感器(S-CNT)单通道数据的卷积神经网络(CNN)模型，用于碳纤维增强塑料(CFRP)的变形/损伤定位。将嵌入S-CNT的CFRP弯曲变形引起的实时电阻时间数据编码为更具判别性的二维图像，用于训练CNN。结果表明，对训练位置的变形定位精度在1.5 mm以内。此外，静态压痕加载表明，CNN模型对CFRP中新的变形/损伤位置也具有较高的定位精度，误差小于5.5 mm。Composites Part B: EngineeringGenome engineering of materials based on Ce doping, high-performance electromagnetic wave absorber for marine environmentLvtong Duan, Jintang Zhou, Jiaqi Tao, Yijie Liu, Yi Yan, Yucheng Wang, Xiaoli Yang, Xuewei Tao, Zhengjun Yao, Hexia Huang, Peijiang Liu, Yao Madoi:10.1016/j.compositesb.2024.111882 基于Ce掺杂材料的基因组工程，海洋环境高性能电磁波吸收剂Traditional microwave absorbing materials (MAM) are difficult to meet the current increasingly complex electromagnetic environment, MAM began to functionally integrated development to meet the needs of diversified applications. For the high humidity and high salt spray environment of the ocean, the development of electromagnetic absorber integrating microwave absorption (MA) and corrosion protection functions is imminent. In this work, high-quality genes were screened through materials genome engineering, and in-situ doping strategies of Ce gene were designed to synergistically enhance MA properties using composition modulation and structure modulation, the effective absorption bandwidth (EAB) of composite material WC@FCC1 can reach 5.62GHz at an ultra-thin thickness of 1.66mm. Thanks to the unique 4f orbital mechanism of Ce element, CeO2 is endowed with excellent redox property, forming an oxide protective film on the surface, which prevents the entry of external corrosive media. The excellent corrosion protection performance of the composite material has been verified through electrochemical testing and molecular dynamics simulation. This work provides new design ideas for high-performance MAM, as well as new strategies and insights for functionally integrated electromagnetic absorber.传统的吸波材料(MAM)难以满足当前日益复杂的电磁环境，MAM开始向功能集成化发展，以满足多样化的应用需求。针对海洋的高湿、高盐雾环境，开发集微波吸收和防腐功能于一体的电磁吸收器迫在眉睫。本工作通过材料基因组工程筛选优质基因，设计Ce基因原位掺杂策略，通过成分调制和结构调制协同增强MA性能，复合材料WC@FCC1在1.66mm超薄厚度下的有效吸收带宽(EAB)可达5.62GHz。由于Ce元素独特的4f轨道机制，CeO2具有优异的氧化还原性能，在表面形成氧化保护膜，阻止外界腐蚀介质的进入。通过电化学测试和分子动力学模拟验证了复合材料优异的防腐性能。这项工作为高性能MAM提供了新的设计思路，也为功能集成电磁吸收器提供了新的策略和见解。Composites Science and TechnologyThermal reaction based mesoscale ablation model for phase degradation and pyrolysis of needle-punched compositeYu Chen, Ran Tao, Yiqi Maodoi:10.1016/j.compscitech.2024.110898 基于热反应的针 刺复合材料相降解热解中尺度烧蚀模型Needle-punched composites are highly valued for their exceptional resistance to interlaminar properties, ablation, and design flexibility, making them increasingly popular in aerospace thermal protection systems. This work investigates the mesoscale structural characteristics and thermophysical properties of needle-punched composites in ablation process. Oxyacetylene ablation experiments were carried out at different temperatures, and a mesoscopic needle-punched structure model was established based on the results of CT characterization. Further, Abaqus custom subroutine was used to reveal the ablation evolution mechanism of carbon fiber reinforced phenolic resin-based needle-punched composites. The results show that, at mesoscopic scale, the acicular fiber bundle perpendicular to the ablative surface accelerates the heat conduction to the interior of the material and promotes the thermal damage and performance degradation of the composite.针 刺复合材料因其优异的抗层间特性、烧蚀和设计灵活性而受到高度重视，使其在航空航天热防护系统中越来越受欢迎。本文研究了针 刺复合材料在烧蚀过程中的中尺度结构特征和热物理性能。在不同温度下进行氧乙炔烧蚀实验，并根据CT表征结果建立了介观针 刺结构模型。利用Abaqus定制子程序分析了碳纤维增强酚醛树脂基针 刺复合材料的烧蚀演化机理。结果表明:在细观尺度上，垂直于烧蚀表面的针状纤维束加速了材料内部的热传导，促进了复合材料的热损伤和性能退化;来源：复合材料力学仿真Composites FEM