67 citations · 82 across the 6 of their papers we have counts for
6 papers
A Knowledge-driven Physics-Informed Neural Network model; Pyrolysis and Ablation of Polymers
Aref Ghaderi, Ramin Akbari, Yang Chen +1
In aerospace applications, multiple safety regulations were introduced to address associated with pyrolysis. Predictive modeling of pyrolysis is a challenging task since multiple t…
Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for Stiff ODEs
Pouyan Nasiri, Roozbeh Dargazany
Physics-informed neural networks (PINNs) have recently received much attention due to their capabilities in solving both forward and inverse problems. For training a deep neural ne…
A Bayesian Surrogate Constitutive Model to Estimate Failure Probability of Rubber-Like Materials
Aref Ghaderi, Vahid Morovati, Roozbeh Dargazany
In this study, a stochastic constitutive modeling approach for elastomeric materials is developed to consider uncertainty in material behavior and its prediction. This effort leads…
A Physics-informed Assembly of Feed-Forward Neural Network Engines to Predict Inelasticity in Cross-Linked Polymers
Aref Ghaderi, Vahid Morovati, Roozbeh Dargazany
In solid mechanics, Data-driven approaches are widely considered as the new paradigm that can overcome the classic problems of constitutive models such as limiting hypothesis, comp…
A Micro-mechanical Approach to Model Thermo-Oxidative Aging in Elastomers
Hamid Mohammadi, Roozbeh Dargazany
This paper presents a micro-mechanical approach to describe the effects of thermo-oxidation on the constitutive behavior of aged elastomers at the long-range timescales. In particu…
Mechanical characterization of stress softening in double network hydrogels
İsmail Doğan Külcü, Roozbeh Dargazany
In this paper, a micro-mechanical model is introduce to characterize the stress softening phenomenon in double network hydrogels. Damage in polymer matrices under deformation, whic…