Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio

H Dehghani, A Zilian - Computational Mechanics, 2020 - Springer
Predictive analysis of poroelastic materials typically require expensive and time-consuming
multiscale and multiphysics approaches, which demand either several simplifications or …

Finite strain poro-hyperelasticity: an asymptotic multi-scale ALE-FSI approach supported by ANNs

H Dehghani, A Zilian - Computational Mechanics, 2023 - Springer
This contribution introduces and discusses a formulation of poro-hyperelasticity at finite
strains. The prediction of the time-dependent response of such media requires consideration …

The Role of Wall Mechanics in the Hemodynamics of a Realistic Abdominal Aortic Aneurysm: A Fluid‐Structure Interaction Study

J Moradicheghamahi - Journal of Engineering, 2024 - Wiley Online Library
Abdominal aortic aneurysm (AAA) can lead to high mortality rates and further complications
such as stroke or heart attack due to the risk of rupture and thrombosis. Wall mechanics play …

ANN-aided incremental multiscale-remodelling-based finite strain poroelasticity

H Dehghani, A Zilian - Computational Mechanics, 2021 - Springer
Mechanical modelling of poroelastic media under finite strain is usually carried out via
phenomenological models neglecting complex micro-macro scales interdependency. One …

[HTML][HTML] A hybrid MGA-MSGD ANN training approach for approximate solution of linear elliptic PDEs

H Dehghani, A Zilian - Mathematics and Computers in Simulation, 2021 - Elsevier
We introduce a hybrid “Modified Genetic Algorithm-Multilevel Stochastic Gradient
Descent”(MGA-MSGD) training algorithm that considerably improves accuracy and …