Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers
Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers
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DOI：
10.1016/j.compscitech.2019.107922
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发表时间：
2020-01
影响因子：
9.1
通讯作者：
Jiaying Gao;M. Shakoor;G. Domel;Matthias Merzkirch;Guowei Zhou;D. Zeng;X. Su;Wing Kam Liu
中科院分区：
文献类型：
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作者：
Jiaying Gao;M. Shakoor;G. Domel;Matthias Merzkirch;Guowei Zhou;D. Zeng;X. Su;Wing Kam Liu
本文提出了一种单向碳纤维增强聚合物（CFRP）的预测多尺度建模方案。一个自底向上的建模过程进行了讨论，用于预测UD结构的性能。UD材料响应由高保真度代表性体积元素（RVE）计算。数据驱动的降阶建模方法将RVE压缩到降阶模型中，因此可以沿着计算材料响应和结构级仿真。本文提出的方法是验证对实验数据，并相信未来的纤维增强聚合物的发展提供设计指导。
This paper presents a predictive multiscale modeling scheme for Unidirectional (UD) Carbon Fiber Reinforced Polymers (CFRP). A bottom-up modeling procedure is discussed for predicting the performance of UD structures. UD material responses are computed from high fidelity Representative Volume Elements (RVEs). A data-driven Reduced Order Modeling approach compresses RVEs into Reduced Order Models so material responses can be computed in a concurrent fashion along with the structural level simulation. The approach presented in this paper is validated against experimental data and is believed to provide design guidance for future fiber reinforced polymers development.