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
Mechanical properties, particle damage evolution and constitutive model of SiCp/Al composites under dynamic loading
Longyun Yang, Chunzheng Duan, Kaiyu Jiang, Xiaole Hao, Shaoshuai Yuan
doi:10.1016/j.compstruct.2024.118397
动态载荷下SiCp/Al复合材料力学性能、颗粒损伤演化及本构模型
To fully exploit the potential of SiCp/Al composites in engineering applications, this study aims to investigate their mechanical properties, damage behavior, and constitutive models under dynamic loading conditions. Dynamic compression experiments are carried out for SiCp/Al composites with different particle characteristics (particle volume fraction, particle size) under different loading conditions (strain rate, experimental temperature) using the Split-Hopkinson Pressure Bar (SHPB). The experimental results reveal that particle characteristics and loading conditions significantly impact the flow stress and particle damage evolution of SiCp/Al composites. Additionally, this underscores a pronounced particle size effect in the composites. Therefore, considering the particle reinforcement mechanism, particle damage evolution, and particle size effect exhibited by SiCp/Al composites during dynamic compression, this study proposes a comprehensive dynamic constitutive model based on the Johnson-Cook (J-C) constitutive relationship of the aluminum alloy matrix, shear lag theory, Weibull distribution, Eshelby equivalent inclusion method, and strain gradient plasticity theory. The model can accurately predict the flow stress of SiCp/Al composites under dynamic compression conditions, with a prediction error ranging from 1.18% to 8.79%. Additionally, it can calculate the particle reinforcement ratio, the stress on the particles/matrix, the proportion of particle damage, and the critical particle size for particle reinforcement effect/particle size effect.
为了充分挖掘SiCp/Al复合材料在工程应用中的潜力,本研究旨在研究其在动态加载条件下的力学性能、损伤行为和本构模型。采用Split-Hopkinson压杆(SHPB)对具有不同颗粒特性(颗粒体积分数、粒径)的SiCp/Al复合材料在不同加载条件(应变速率、实验温度)下进行了动态压缩实验。实验结果表明,颗粒特性和加载条件对SiCp/Al复合材料的流变应力和颗粒损伤演化有显著影响。此外,这强调了复合材料中明显的粒度效应。因此,考虑到SiCp/Al复合材料在动态压缩过程中表现出的颗粒增强机制、颗粒损伤演化和颗粒尺寸效应,本研究提出了基于铝合金基体Johnson-Cook (J-C)本构关系、剪切滞后理论、Weibull分布、Eshelby等效夹杂法和应变梯度塑性理论的综合动态本构模型。该模型能较准确地预测SiCp/Al复合材料在动态压缩条件下的流变应力,预测误差在1.18% ~ 8.79%之间。此外,还可以计算颗粒增强率、颗粒/基体应力、颗粒损伤比例、颗粒增强效应/颗粒尺寸效应的临界粒径。
Real-time Bayesian inversion in resin transfer moulding using neural surrogates
M.E. Causon, M.A. Iglesias, M.Y. Matveev, A. Endruweit, M.V. Tretyakov
doi:10.1016/j.compositesa.2024.108355
基于神经网络的树脂传递模塑的实时贝叶斯反演
In Resin Transfer Moulding (RTM), local variations in reinforcement properties (porosity and permeability) and the formation of gaps along the reinforcement edges result in non-uniform resin flow patterns, which may cause defects in the produced composite component. The ensemble Kalman inversion (EKI) algorithm has previously been used to invert in-process data to estimate local reinforcement properties. However, implementation of this algorithm in some applications is limited by the requirement to run thousands of computationally expensive resin flow simulations. In this study, a machine learning approach is used to train a surrogate model which can emulate resin flow simulations near-instantaneously. A partition of the flow domain into a low-dimensional representation enables an artificial neural network (ANN) surrogate to make accurate predictions, with a simple architecture. When the ANN is integrated within the EKI algorithm, estimates for local reinforcement permeability and porosity can be achieved in real time, as was verified by virtual and lab experiments. Since EKI utilises the Bayesian framework, estimates are given within confidence intervals and statements can be made on-line regarding the probability of defects within sections of the reinforcement. The proposed framework has shown good predictive capabilities for the set of laboratory experiments and estimates for reinforcement properties were always computed within 1 s
在树脂传递成型(RTM)中,增强材料性能(孔隙率和渗透率)的局部变化以及增强材料边缘间隙的形成导致树脂流动模式不均匀,这可能导致生产的复合材料部件出现缺陷。集成卡尔曼反演(EKI)算法已被用于反演过程中的数据,以估计局部增强特性。然而,在某些应用中,该算法的实现受到运行数千个计算昂贵的树脂流模拟的要求的限制。在本研究中,使用机器学习方法来训练代理模型,该模型可以近乎即时地模拟树脂流动模拟。将流域划分为低维表示,使人工神经网络(ANN)代理能够以简单的结构做出准确的预测。将人工神经网络集成到EKI算法中,可以实时获得局部加固渗透率和孔隙度的估计,并通过虚拟和实验室实验进行了验证。由于EKI使用贝叶斯框架,在置信区间内给出估计,并且可以在线发布关于加固部分内缺陷概率的声明。所提出的框架对一组实验室实验显示出良好的预测能力,并且总是在1秒内计算出钢筋性能的估计
Experimental and numerical studies on the loading rate dependent tensile behavior of carbon fiber/epoxy interfaces
Kai Yan, Zhenyu Jiang, Jianbo Tang, Ximing Xie, Tao Suo
doi:10.1016/j.compositesb.2024.111732
加载速率对碳纤维/环氧树脂界面拉伸性能影响的实验与数值研究
A series of experiments and simulations were performed to explore the effect of the loading rate on the tensile behavior of carbon fiber/epoxy composites interfaces via the fiber bundle tensile method. Varying velocities were used to test the stress‒time and stress‒displacement curves of the samples, and a high-speed camera was used to study the in situ failure behavior of the carbon fiber/epoxy interface. Increasing the loading rate from 5 × 10-6 m/s to 12.0 m/s leds to an increase in the interfacial tensile strength from 6.1 ± 0.9 MPa to 16.4 ± 0.3 MPa, an increase in the interfacial stiffness from 1.58 ± 0.3 N/m to 17.4 ± 3.1 N/m, and a decrease in the fracture displacement from 0.23 ± 0.03 mm to 0.10 ± 0.01 mm. Optical microscopy analysis revealed rougher crack surfaces at higher loading rates. The interface fracture mode transitioned from fiber breakage and pull-out to brittle matrix cracking with increasing loading rate. The finite element method was employed to verify the effectiveness of the fiber bundle tensile method with a split Hopkinson tension bar and study the failure behavior of the interface under dynamic loading. The simulation results showed that the calculated failure stress was 20% lower than the actual value, and the cohesive layer was found to have greater stress at the edge region. This investigation deepens the understanding of the effects of the loading rate on the interfacial tensile behaviors of carbon fiber/epoxy composites.
采用纤维束拉伸法研究了加载速率对碳纤维/环氧复合材料界面拉伸性能的影响。采用变速测试了试样的应力-时间曲线和应力-位移曲线,并采用高速摄像机研究了碳纤维/环氧树脂界面的原位破坏行为。加载速率从5 × 10-6 m/s增加到12.0 m/s,界面抗拉强度从6.1±0.9 MPa增加到16.4±0.3 MPa,界面刚度从1.58±0.3 N/m增加到17.4±3.1 N/m,断裂位移从0.23±0.03 mm减少到0.10±0.01 mm。光学显微镜分析显示,在较高的加载速率下,裂纹表面更粗糙。随着加载速率的增加,界面断裂模式由纤维断裂、拉出向脆性基体断裂转变。采用有限元方法验证了分离式Hopkinson张拉杆纤维束拉伸法的有效性,研究了界面在动载荷作用下的破坏行为。模拟结果表明,计算的破坏应力比实际值低20%,黏聚层边缘区域的应力较大。本研究加深了对加载速率对碳纤维/环氧复合材料界面拉伸行为影响的认识。
The effects of wrinkle distributions on the mechanical characteristics of unidirectional glass fiber-reinforced composites
Xuefeng Li, Jingran Ge, Guangchang Chen, Binbin Zhang, Jun Liang
doi:10.1016/j.compscitech.2024.110762
折皱分布对单向玻璃纤维增强复合材料力学特性的影响
Wrinkle defects are major manufacturing defects that can reduce the mechanical properties of fiber-reinforced composites, especially their compressive strength. There are differences in the effects of various wrinkle distributions on compression failure. In this work, unidirectional glass fiber-reinforced samples with different thicknesses and wrinkle distributions were manufactured and tested. The corresponding high-fidelity three-dimensional finite element (FE) models are established and combined with a progressive damage analysis method to reveal compression failure behavior. The accuracy of the FE analysis method is verified by combining experimental results. Then, the parameter analyses are conducted to study the effects of wrinkle distributions on the knockdown in compressive mechanical properties, with some corresponding conclusions drawn. The results indicate that the dependence of compressive strength on various wrinkle distributions can be determined.
皱折缺陷是降低纤维增强复合材料力学性能尤其是抗压强度的主要制造缺陷。不同褶皱分布对压缩破坏的影响是不同的。本文制备了具有不同厚度和皱纹分布的单向玻璃纤维增强样品并进行了测试。建立了相应的高保真三维有限元模型,并结合渐进式损伤分析方法揭示了压缩破坏行为。结合实验结果验证了有限元分析方法的准确性。在此基础上,通过参数分析研究了褶皱分布对抗压力学性能的影响,并得出了相应的结论。结果表明,可以确定各种褶皱分布对抗压强度的依赖关系。