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Aref Ghaderi
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Proceedings Papers

Modeling the Burning of Polymer Matrix: Training Collocation Physics-Informed Neural Network

Aref Ghaderi, Roozbeh Dargazany
Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T12A006, October 30–November 3, 2022
Paper No: IMECE2022-95456
https://doi.org/10.1115/IMECE2022-95456
View Paper titled, Modeling the Burning of Polymer Matrix: Training Collocation Physics-Informed Neural Network
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Topics: Artificial neural networks, Combustion, Modeling, Physics, Polymers, Pyrolysis, Temperature, Architecture, Convection, Density
Proceedings Papers

A Physics-Based Data-Driven Approach for Modeling of Environmental Degradation in Elastomers

Aref Ghaderi, Yang Chen, Roozbeh Dargazany
Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T12A004, October 30–November 3, 2022
Paper No: IMECE2022-95000
https://doi.org/10.1115/IMECE2022-95000
View Paper titled, A Physics-Based Data-Driven Approach for Modeling of Environmental Degradation in Elastomers
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Topics: Elastomers, Modeling, Physics, Deformation, Polymers, Chain, Aerospace industry, Artificial neural networks, Data collection, Density
Journal Articles

A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio

Aref Ghaderi, Roozbeh Dargazany
Journal: Journal of Applied Mechanics
Article Type: Research Papers
J. Appl. Mech. May 2023, 90(5): 051010.
Paper No: JAM-22-1374
https://doi.org/10.1115/1.4056705
Published Online: February 8, 2023
View Article titled, A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio
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Topics: Artificial neural networks, Damage, Deformation, Elastomers, Engines, Fillers (Materials), Physics, Polymers, Rubber, Stress
Proceedings Papers

A Micro-Mechanical Constitutive Model to Predict Hygrothermal Aging of Cross-Linked Polymers

Amir Bahrololoumi, Aref Ghaderi, Mamoon Shaafaey, Roozbeh Dargazany
Proc. ASME. IMECE2021, Volume 12: Mechanics of Solids, Structures, and Fluids; Micro- and Nano- Systems Engineering and Packaging, V012T12A039, November 1–5, 2021
Paper No: IMECE2021-71928
https://doi.org/10.1115/IMECE2021-71928
View Paper titled, A Micro-Mechanical Constitutive Model to Predict Hygrothermal Aging of Cross-Linked Polymers
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Topics: Constitutive equations, Polymers, Oxygen, Water, Damage, Diffusion (Physics), Energy dissipation, Physics, Shrinkage (Materials), Temperature effects
Proceedings Papers

Uncertainty Quantification in Predicting Behaviour of Rubber-Like Materials in Uni-Axial Loading

Aref Ghaderi, Vahid Morovati, Pouyan Nasiri, Roozbeh Dargazany
Proc. ASME. IMECE2020, Volume 12: Mechanics of Solids, Structures, and Fluids, V012T12A006, November 16–19, 2020
Paper No: IMECE2020-24200
https://doi.org/10.1115/IMECE2020-24200
View Paper titled, Uncertainty Quantification in Predicting Behaviour of Rubber-Like Materials in Uni-Axial Loading
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Topics: Rubber, Uncertainty quantification, Uncertainty, Constitutive equations, Elastomers, Noise (Sound), Errors, Machine learning, Modeling, Performance
Proceedings Papers

A Physics-Informed Neural Network Constitutive Model for Cross-Linked Polymers

Aref Ghaderi, Vahid Morovati, Amir Bahrololoumi, Roozbeh Dargazany
Proc. ASME. IMECE2020, Volume 12: Mechanics of Solids, Structures, and Fluids, V012T12A007, November 16–19, 2020
Paper No: IMECE2020-24227
https://doi.org/10.1115/IMECE2020-24227
View Paper titled, A Physics-Informed Neural Network Constitutive Model for Cross-Linked Polymers
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Topics: Artificial neural networks, Constitutive equations, Physics, Polymers, Density, Deformation, Chain, Energy generation, Optimization, Potential energy
Proceedings Papers

Data-Driven Constitutive Modeling of the Progressive Softening in Elastomeric Gels With Interpenetrating Networks

Vahid Morovati, Aref Ghaderi, Roozbeh Dargazany
Proc. ASME. IMECE2020, Volume 12: Mechanics of Solids, Structures, and Fluids, V012T12A043, November 16–19, 2020
Paper No: IMECE2020-24211
https://doi.org/10.1115/IMECE2020-24211
View Paper titled, Data-Driven Constitutive Modeling of the Progressive Softening in Elastomeric Gels With Interpenetrating Networks
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Topics: Anisotropy, Artificial neural networks, Biomedicine, Biomimetics, Constitutive equations, Cycles, Damage, Deformation, Dynamic testing (Materials), Elastomers