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Jul, 2023
基于神经网络的再生核逼近增强方法用于脆性断裂建模
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture
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Jonghyuk Baek, Jiun-Shyan Chen
TL;DR
本文提出了一种改进的神经网络增强再生核粒子法(NN-RKPM)来建模脆性断裂,实现了离散化无关的计算方法,并通过一系列数值算例展示了其有效性。
Abstract
numerical modeling
of
localizations
is a challenging task due to the evolving rough solution in which the localization paths are not predefined. Despite decades of efforts, there is a need for innovative
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