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A Machine Learning Boosted Data Reduction Methodology for Translaminar Fracture of Structural Composites 针对结构复合材料横向断裂的机器学习增强数据缩减方法
IF 2.3 4区 材料科学 Q3 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-07-01 DOI: 10.1007/s10443-024-10236-x
Davide Mocerino, Moisés Zarzoso, Federico Sket, Jon Molina, Carlos González

This work explored a machine learning (ML) algorithm as a fast data reduction method for translaminar fracture energy in composite laminates. The method was validated with translaminar fracture tests on compact tension (CT) specimens on AS4/8552 and IM7/8552 cross-ply lay-ups. Experimental fracture energy and R-curves for both materials were determined using the most common data reduction methods, such as the compliance calibration (CC), the area (AM) and the Irwin relationship (IM). Our new data reduction method uses a surrogate model based on an artificial neural network (ANN) trained with synthetic data generated with the cohesive crack finite element model. Such a surrogate model maps the cohesive properties with the corresponding load–displacement, crack-displacement and energy-displacement curves with interrogation times in the order of 20 ms and relative errors in the load–displacement and crack growth less than 2%. Such performance enabled its encapsulation to approximate the inverse problem to infer the cohesive parameters with the maximum likelihood estimator (MLE) directly from the experimental load–displacement and crack-displacement curves. The results demonstrated the ability of the model to deliver cohesive parameter inference directly from the macroscopic tests carried out at the laboratory level.

这项研究探索了一种机器学习(ML)算法,作为复合材料层压板层间断裂能的快速数据缩减方法。该方法通过对 AS4/8552 和 IM7/8552 交叉层压材料的紧凑拉伸 (CT) 试样进行层间断裂测试进行了验证。这两种材料的实验断裂能和 R 曲线都是使用最常见的数据还原方法确定的,如顺应性校准 (CC)、面积 (AM) 和欧文关系 (IM)。我们的新数据还原方法使用的是基于人工神经网络(ANN)的代用模型,该人工神经网络由内聚裂纹有限元模型生成的合成数据训练而成。这种代用模型将内聚特性与相应的载荷-位移、裂纹-位移和能量-位移曲线进行映射,询问时间约为 20 毫秒,载荷-位移和裂纹增长的相对误差小于 2%。这样的性能使其能够封装成近似逆问题,直接从实验载荷-位移和裂缝-位移曲线用最大似然估计法(MLE)推断内聚参数。结果表明,该模型能够直接从实验室进行的宏观测试中推断内聚参数。
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引用次数: 0
Response Surface Model for Mechanical Properties of Robotically Stitched Composites 机器人缝合复合材料机械性能的响应面模型
IF 2.3 4区 材料科学 Q3 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-06-27 DOI: 10.1007/s10443-024-10245-w
Radwa Alaziz, Shuvam Saha, Rani W. Sullivan

Composite structures are extensively used in several industries such as aerospace, automotive, sports, and construction due to their many advantages, including tailorable mechanical properties, high strength-to-weight ratios, and high specific stiffness. However, due to their low interlaminar tensile and shear strength, composites are prone to delaminations, which can degrade the overall mechanical performance of the structure. Through-thickness stitching provides a third-direction reinforcement to enhance the interlaminar tensile and shear strengths. In this study, quasi-isotropic composite test specimens were manufactured with a novel through-thickness robotic chain stitching with different patterns and tested under uniaxial tensile and three-point bend loadings. A design of experiments (DoE) approach was used to investigate the influence of stitch parameters (stitch density, stitch angle, and linear thread density) on the tensile strength, tensile modulus, and flexural strength of stitched composites. Experimental results are then used to develop a statistically informed response surface model (RSM) to find optimal stitching parameters based on a maximum predicted tensile strength, tensile modulus, and flexural strength. This study reveals and discusses the optimum selection of stitch processing parameters to improve the in-plane and out-of-plane mechanical properties.

复合材料结构具有多种优点,包括可定制的机械性能、高强度重量比和高比刚度,因此被广泛应用于航空航天、汽车、运动和建筑等多个行业。然而,由于层间拉伸和剪切强度较低,复合材料容易发生分层,从而降低结构的整体机械性能。通厚缝合可提供第三方向的加固,从而提高层间拉伸和剪切强度。在本研究中,使用新型通厚机器人链式缝合技术制作了不同模式的准各向同性复合材料试样,并在单轴拉伸和三点弯曲载荷下进行了测试。实验设计(DoE)方法用于研究缝合参数(缝合密度、缝合角度和线性线密度)对缝合复合材料拉伸强度、拉伸模量和弯曲强度的影响。然后利用实验结果建立了一个统计响应面模型(RSM),根据最大预测拉伸强度、拉伸模量和弯曲强度找到最佳缝合参数。这项研究揭示并讨论了缝合加工参数的最佳选择,以改善面内和面外机械性能。
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引用次数: 0
Nanoplatelet Orientation and Young’s Modulus of Graphene/Phenoxy Nanocomposites 石墨烯/苯氧基纳米复合材料的纳米小板取向和杨氏模量
IF 2.3 4区 材料科学 Q3 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-06-19 DOI: 10.1007/s10443-024-10243-y
Han Lin, Prasad Potluri, William W. Sampson, Arthur N. Wilkinson

We report on the development of phenoxy-graphene nano-composite fibres for improving the toughness of thermoset composites. In this paper, a systematic experimental investigation into the underlying mechanisms of graphene nanoplatelets (GNP) reinforcement of phenoxy nanocomposite fibres prepared via melt spinning is provided. The analysis reveals a tangential orientation of GNP in the outer layer of the fibres, while such orientation is absent in the fibre core region. We show that the relative size of the fibre sheath depends on process variables and exhibits a linear relationship with the modulus of GNP obtained via theoretical analysis using simple rule of mixtures. This is because the area ratio (AR) is proportional to the orientation degree of GNP. This indicates that the enhancement of the Young’s modulus of fibres mainly originates from the increased AR of the fibre sheath layer where the orientation of GNP is more regular.

我们报告了用于改善热固性复合材料韧性的苯氧基-石墨烯纳米复合纤维的开发情况。本文对通过熔融纺丝法制备的苯氧基纳米复合纤维的石墨烯纳米片(GNP)增强机理进行了系统的实验研究。分析表明,GNP 在纤维外层呈切向取向,而在纤维核心区域则没有这种取向。我们的研究表明,纤维鞘的相对尺寸取决于工艺变量,并与通过使用简单混合物规则进行理论分析获得的 GNP 模量呈线性关系。这是因为面积比 (AR) 与 GNP 的取向度成正比。这表明,纤维杨氏模量的提高主要源于 GNP 取向更规则的纤维鞘层 AR 的增加。
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引用次数: 0
Large-Deformation Electrothermal Actuation Inchworm-Like Crawling Robot Based on Bistable Structures for Load Carrying 基于双稳态结构的大变形电热致动寸虫式爬行机器人,用于承载负荷
IF 2.3 4区 材料科学 Q3 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-06-14 DOI: 10.1007/s10443-024-10242-z
Zheng Zhang, Tianye Wang, Tao Zhang, Hongcheng Shen, Baisong Pan, Min Sun, Guang Zhang, Shao-song Jiang
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引用次数: 0
Experimental Investigation and Numerical Simulation of Bonded, Bolted, and Hybrid Joints in CFRP Laminates Under Tensile Loading 拉伸载荷下 CFRP 层压材料中粘接、螺栓连接和混合连接的实验研究与数值模拟
IF 2.3 4区 材料科学 Q2 Materials Science Pub Date : 2024-06-03 DOI: 10.1007/s10443-024-10240-1
Yiming Shangguan, Wenjing Wang, Anrui He, Junsheng Qu

In this study, an in-depth analysis is carried out to simulate the failure mechanism of T700 carbon fiber-reinforced polymer composite (CFRP) joints with a layup sequence of [45/-45/0/90]3 s when subjected to tensile loading, both experimentally and numerically. We compared the mechanical performance of three different edge-to-bolt diameter ratios (E/d) of bonded, bolted, and hybrid single lap joints subjected to tensile loading. A finite element-based progressive damage method (PDM) along with the bilinear triangular cohesive zone model (BTCZM) is developed to predict the damage evolution and failure mechanism for all joint configurations. By juxtaposing the simulation outcomes and the experimental data, we observed the failure morphology and assessed the bearing capacity of the joint under tensile loading. The comparison results revealed a minor discrepancy of merely 5.5% in terms of joint load capacity between simulations and experiments, which indicates the high accuracy of our model. The strength of the adhesive and mechanical joints increases with E/d from 3 to 5; however, the strength of the hybrid joints decreases. At E/d = 3, hybrid joints performed significantly better than bonded ones, with a remarkable enhancement of 41.53%. However, for E/d ratios of 4 and 5, both simulation results and test data showed that hybrid joints were inferior to bolted joints. The analytical methodology presented in this paper offers a valuable reference for future analysis and design of composite joints.

本研究通过实验和数值模拟,深入分析了铺层顺序为 [45/-45/0/90]3 s 的 T700 碳纤维增强聚合物复合材料(CFRP)接头在承受拉伸荷载时的失效机理。我们比较了三种不同边缘与螺栓直径比(E/d)的粘接接头、螺栓接头和混合单搭接接头在承受拉伸荷载时的机械性能。我们开发了基于有限元的渐进损伤法(PDM)和双线性三角内聚区模型(BTCZM),以预测所有接头结构的损伤演变和失效机制。通过将模拟结果与实验数据并列,我们观察了破坏形态,并评估了拉伸荷载下接头的承载能力。对比结果显示,模拟结果与实验结果在接头承载能力方面的差异很小,仅为 5.5%,这表明我们的模型具有很高的准确性。在 E/d 值为 3 到 5 的范围内,粘合剂接头和机械接头的强度随 E/d 值的增加而增加,但混合接头的强度却有所降低。当 E/d = 3 时,混合接头的性能明显优于粘接接头,显著提高了 41.53%。然而,当 E/d 比率为 4 和 5 时,模拟结果和测试数据都表明混合接头的性能不如螺栓接头。本文介绍的分析方法为今后分析和设计复合材料接头提供了宝贵的参考。
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引用次数: 0
Free and Forced Vibration Analysis of Carbon/Glass Hybrid Composite Laminated Plates Under Arbitrary Boundary Conditions 任意边界条件下碳/玻璃混合复合材料层压板的自由和强迫振动分析
IF 2.3 4区 材料科学 Q2 Materials Science Pub Date : 2024-06-03 DOI: 10.1007/s10443-024-10235-y
Mengzhen Li, Carlos Guedes Soares, Zhiping Liu, Peng Zhang

This paper presents the theoretical investigations on the free and forced vibration behaviours of carbon/glass hybrid composite laminated plates with arbitrary boundary conditions. The unknown allowable displacement functions of the physical middle surface are expressed in terms of standard cosine Fourier series and sinusoidal auxiliary functions to ensure the continuity of the displacement functions and their derivatives at the structural boundaries. Arbitrary boundary conditions are achieved through the introduction of an artificial spring technique. The first shear deformation theory and Lagrange equations are utilized to derive the energy expression, and the eigenvalue equations associated with free and forced vibration are obtained by Rayleigh-Ritz variational operations. Subsequently, these equations are then solved to determine the natural frequency, mode of vibration, and the steady-state displacement response under forced excitation. The new results are compared with those from references and finite element methods to verify the convergence, accuracy and efficiency of the analytical method. The effects of hybrid ratios, stacking sequences, lamination schemes, fibre orientation, boundary conditions and excitation force on the free and forced vibration behaviours of the carbon/glass hybrid composite laminated plates are analyzed in detail.

本文对任意边界条件下碳/玻璃混合复合材料层压板的自由振动和强迫振动行为进行了理论研究。物理中间表面的未知允许位移函数用标准余弦傅里叶级数和正弦辅助函数表示,以确保位移函数及其导数在结构边界处的连续性。通过引入人工弹簧技术实现了任意边界条件。利用第一剪切变形理论和拉格朗日方程推导出能量表达式,并通过雷利-里兹变分运算获得与自由振动和受迫振动相关的特征值方程。随后,对这些方程进行求解,以确定受迫振动下的固有频率、振动模式和稳态位移响应。新结果与参考文献和有限元方法的结果进行了比较,以验证分析方法的收敛性、准确性和效率。详细分析了混合比、堆叠顺序、层压方案、纤维取向、边界条件和激振力对碳/玻璃混合复合材料层压板自由振动和强迫振动行为的影响。
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引用次数: 0
Nonlinear Mechanical Behavior of Glass Fiber/ Epoxy Resin Composite Under Medium and Low Strain Rates Loading 玻璃纤维/环氧树脂复合材料在中低应变速率加载下的非线性力学行为
IF 2.3 4区 材料科学 Q2 Materials Science Pub Date : 2024-05-24 DOI: 10.1007/s10443-024-10233-0
Zheng Liu, Jianlin Zhong, Rui Ren, Ziruo Tang, Changfang Zhao, Xinxin Liu, Yuan Gao, Jie Ren
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引用次数: 0
Experimental and Numerical Analysis of Lightweight Hybrid Composites Under Low Velocity Impact 低速冲击下轻质混合复合材料的实验和数值分析
IF 2.3 4区 材料科学 Q2 Materials Science Pub Date : 2024-05-23 DOI: 10.1007/s10443-024-10237-w
K. Maharshi, Shivdayal Patel
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引用次数: 0
Overview of Microwave NDT Techniques for Fibre-Reinforced Polymer Composites 纤维增强聚合物复合材料的微波无损检测技术概述
IF 2.3 4区 材料科学 Q2 Materials Science Pub Date : 2024-05-23 DOI: 10.1007/s10443-024-10239-8
Zhen Li, Constantinos Soutis, Andrew Gibson
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引用次数: 0
Damage-Caused Residual Curvatures in Symmetric Cross-Ply Laminates 对称交叉层压板中由损伤引起的残余曲率
IF 2.3 4区 材料科学 Q2 Materials Science Pub Date : 2024-05-21 DOI: 10.1007/s10443-024-10231-2
A. Pupurs, J. Varna
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引用次数: 0
期刊
Applied Composite Materials
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