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Piemaan Fazily

Researcher at Korea Institute of Science and Technology

Publications -  1
Citations -  44

Piemaan Fazily is an academic researcher from Korea Institute of Science and Technology. The author has contributed to research in topics: Deep learning & Constitutive equation. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

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Machine learning-based constitutive model for J2- plasticity

TL;DR: In this article, an artificial neural network (ANN) was constructed to replace the nonlinear stress-integration scheme conducted in the conventional theoretical constitutive model under isotropic hardening and associated flow rule.