activity
20212026
most citedAn eXtended Finite Element Method Implementation in COMSOL Multiphysics: Thermo-Hydro-Mechanical Modeling of Fluid Flow in Discontinuous Porous Media

5 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

An extended deep energy method for thermo-mechanical crack propagation

Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4

Thermo-mechanical fracture couples transient heat conduction on a cracked domain with a crack that grows as the temperature and the displacement evolve. Neural energy solvers have…

cs.LG2026

A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture

Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4

Phase-field modeling of brittle fracture removes the need to track cracks explicitly by recasting their evolution as the minimization of an energy functional. In return it requires…

cs.CE2022★ 5 cited

Application of Physics-Informed Neural Networks for Forward and Inverse Analysis of Pile-Soil Interaction

M. Vahab, B. Shahbodagh, E. Haghighat +1

The application of the Physics-Informed Neural Networks (PINNs) to forward and inverse analysis of pile-soil interaction problems is presented. The main challenge encountered in th…

cs.MS2021★ 5 cited

An eXtended Finite Element Method Implementation in COMSOL Multiphysics: Thermo-Hydro-Mechanical Modeling of Fluid Flow in Discontinuous Porous Media

Ahmad Jafari, Mohammad Vahab, Pooyan Broumand +1

This paper presents the implementation of the eXtended Finite Element Method (XFEM) in the general-purpose commercial software package COMSOL Multiphysics for multi-field thermo-hy…

cs.CE2021

An eXtended Finite Element Method Implementation in COMSOL Multiphysics: Solid Mechanics

Ahmad Jafari, Pooyan Broumand, Mohammad Vahab +1

This paper presents the first time implementation of the eXtended Finite Element Method (XFEM) in the general purpose commercial software COMSOL Multiphysics. An enrichment strateg…

cs.LG2021

A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity

Mohammad Vahab, Ehsan Haghighat, Maryam Khaleghi +1

We explore an application of the Physics Informed Neural Networks (PINNs) in conjunction with Airy stress functions and Fourier series to find optimal solutions to a few reference…