Predicting the Elasto-Plastic Response of Short Fiber Composites Using Deep Neural Networks Trained on Micro-Mechanical Simulations

J. Friemann, B. Dashtbozorg, M. Fagerström, M. Mirkhalaf
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Abstract

mechanical modeling of Short Fiber Reinforced Composites (SFRC) is of anisotropy, discontinuity and orientation distribution of fibers. to accurately predict the behavior of SFRC with fiber orientations and fiber volume fractions is in the design and produc-tion of injection molded parts. constitutive
基于微力学模拟训练的深度神经网络预测短纤维复合材料弹塑性响应
短纤维增强复合材料(SFRC)的力学模型是纤维的各向异性、不连续和取向分布。在注塑件的设计和生产中,准确地预测纤维取向和纤维体积分数对SFRC性能的影响。本构
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