142 citations · 378 across the 19 of their papers we have counts for
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AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam
Da Chen, Nima Emami, Shahed Rezaei +5
The local geometrical randomness of metal foams brings complexities to the performance prediction of porous structures. Although the relative density is commonly deemed as the key…
A thermo-mechanical phase-field fracture model: application to hot cracking simulations in additive manufacturing
Hui Ruan, Shahed Rezaei, Yangyiwei Yang +2
Thermal fracture is prevalent in many engineering problems and is one of the most devastating defects in metal additive manufacturing. Due to the interactive underlying physics inv…
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin +2
Physics-informed neural networks (PINNs) are capable of finding the solution for a given boundary value problem. We employ several ideas from the finite element method (FEM) to enh…