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20192025
most citedPhysics-based Constitutive Equation for Thermo-Chemical Aging in Elastomers based on Crosslink Density Evolution

4 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

cond-mat.soft2025

Invariant fractocohesive length in thermally aged elastomers

Aimane Najmeddine, Santiago Marin, Zhen Xu +3

The fractocohesive length - the ratio between fracture toughness and work-to-fracture - provides a material-specific length scale that characterizes the size-dependent fracture beh…

cs.LG2025

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model

Zeping Chen, Marwa Yacouti, Maryam Shakiba +3

Carbon fiber-reinforced composites (CFRC) are pivotal in advanced engineering applications due to their exceptional mechanical properties. A deep understanding of CFRC behavior und…

cond-mat.mtrl-sci2022

Physics and chemistry-based constitutive framework for thermo-chemically aged elastomer using phase-field approach

Aimane Najmeddine, Maryam Shakiba

We propose a physics and chemistry-based constitutive framework to predict the stress responses of thermo-chemically aged elastomers and capture their brittle failure using the pha…

cond-mat.mtrl-sci2021

Physics-based Constitutive Modeling of Photo-oxidative Aging in Semi-Crystalline Polymers based on Chemical Characterization Techniques

Aimane Najmeddine, Zhen Xu, Guoliang Liu +2

This paper proposes a physio-chemically-based constitutive framework to simulate and predict the response of semi-crystalline low-density polyethylene (LDPE) to severe photo-oxidat…

cond-mat.mtrl-sci2021★ 4 cited

Physics-based Constitutive Equation for Thermo-Chemical Aging in Elastomers based on Crosslink Density Evolution

Maryam Shakiba, Aimane Najmeddine

This paper presents a physics-based constitutive equation to predict the thermo-chemical aging in elastomers. High-temperature oxidation in elastomers is a complex phenomenon. The…

cs.LG2021

A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Reza Sepasdar, Anuj Karpatne, Maryam Shakiba

An image-based deep learning framework is developed in this paper to predict damage and failure in microstructure-dependent composite materials. The work is motivated by the comple…