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A novel data-driven framework of elastoplastic constitutive model based on geometric physical information
Computer Methods in Applied Mechanics and Engineering ( IF 6.9 ) Pub Date : 2024-11-07 , DOI: 10.1016/j.cma.2024.117513
Luyu Li, Zhihao Yan, Shichao Wang, Xue Zhang, Xinglang Fan

The advantages of data science have inspired the development of data-driven approaches for solving constitutive modeling problems, which have become a new research focus in engineering mechanics. These approaches help fully utilize the information inherent in the data, bypassing the traditional modeling processes.

中文翻译:


一种基于几何物理信息的弹塑性本构模型数据驱动框架



数据科学的优势激发了解决本构建模问题的数据驱动方法的发展,这已成为工程力学领域的新研究重点。这些方法有助于充分利用数据中固有的信息,绕过传统的建模过程。
更新日期:2024-11-07
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