116 citations · 337 across the 13 of their papers we have counts for
13 papers
Bridging nanoparticle morphology and viscoelastic behavior in epoxy nanocomposites: A coarse-grained simulation-informed constitutive model
Atiyeh Hentea, Shadab Zakavatib, Behrouz Arash +2
Accurate prediction of the material behavior of polymer nanocomposites under various thermomechanical loading conditions is increasingly demanded for engineering applications. This…
Data-Driven Structural Health Monitoring of Short Carbon Fiber-Reinforced Polymer Composites via Multiphysics Phase-Field Simulation
Behrouz Arash, Shadab Zakavati, Quan Wang +1
Short carbon fiber-reinforced polymer (SCFRP) composites exploit the intrinsic conductivity of the carbon fiber network for self-sensing, yet no predictive model couples their anis…
A phase-field framework for anisotropic viscoelastic-viscoplastic fracture in short fiber-reinforced polymers in hygrothermal environments
Behrouz Arash, Shadab Zakavati, Timon Rabczuk
This work presents a comprehensive phase-field framework for modeling anisotropic viscoelastic-viscoplastic fracture in short fiber-reinforced polymer (SFRP) composites under hygro…
A hybrid electromechanical phase-field and deep learning framework for predicting fracture in dielectric nanocomposites
Aamir Dean, Jaykumar Mavani, Betim Bahtiri +2
The accurate and efficient prediction of crack propagation in dielectric materials is a critical challenge in structural health monitoring and the design of smart systems. This wor…
Optimizing the Charging of Open Quantum Batteries using Long Short-Term Memory-Driven Reinforcement Learning
Shadab Zakavati, Shahriar Salimi, Behrouz Arash
Controlling the charging process of a quantum battery involves strategies to efficiently transfer, store, and retain energy, while mitigating decoherence, energy dissipation, and i…
A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites
Betim Bahtiri, Behrouz Arash, Sven Scheffler +2
This work proposes a physics-informed deep learning (PIDL)-based constitutive model for investigating the viscoelastic-viscoplastic behavior of short fiber-reinforced nanoparticle-…
Cyclic viscoelastic-viscoplastic behavior of epoxy nanocomposites under hygrothermal conditions: A phase-field fracture model
Behrouz Arash, Shadab Zakavati, Betim Bahtiri +2
In this study, a finite deformation phase-field formulation is developed to investigate the effect of hygrothermal conditions on the viscoelastic-viscoplastic fracture behavior of…
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content
Betim Bahtiri, Behrouz Arash, Sven Scheffler +2
In this work, we propose a deep learning (DL)-based constitutive model for investigating the cyclic viscoelastic-viscoplastic-damage behavior of nanoparticle/epoxy nanocomposites w…
Modal analysis for determining the size-and temperature-dependent bending rigidity of graphene
Banafsheh Sajadi, Simon van Hemert, Behrouz Arash +3
The bending rigidity of two-dimensional (2D) materials is a key parameter for understanding the mechanics of 2D NEMS devices. The apparent bending rigidity of graphene membranes at…
Tensile fracture behavior of short carbon nanotube reinforced polymer composites: A coarse-grained model
Behrouz Arash, Harold S. Park, Timon Rabczuk
Short-fiber-reinforced polymer composites are increasingly used in engineering applications and industrial products owing to their unique combination of superior mechanical propert…
Mechanical properties of carbon nanotube reinforced polymer nanocomposites: A coarse-grained model
Behrouz Arash, Harold S. Park, Timon Rabczuk
In this work, a coarse-grained (CG) model of carbon nanotube (CNT) reinforced polymer matrix composites is developed. A distinguishing feature of the CG model is the ability to cap…
Coarse-grained model of the J-integral of carbon nanotube reinforced polymer composites
Behrouz Arash, Harold S. Park, Timon Rabczuk
The J-integral is recognized as a fundamental parameter in fracture mechanics that characterizes the inherent resistance of materials to crack growth. However, the conventional met…
A coarse-grained model for the elastic properties of cross linked short carbon nanotube/polymer composites
Atiyeh Alsadat Mousavi, Behrouz Arash, Xiaoying Zhuang +1
Short fiber reinforced polymer composites have found extensive industrial and engineering applications owing to their unique combination of low cost, relatively easy processing and…