Applications of data-driven approaches in prediction of fatigue and fracture
S Nasiri, MR Khosravani - Materials Today Communications, 2022 - Elsevier
Since various mechanical components could undergo cyclic loadings in their operations,
fatigue evaluation of the parts is a crucial issue. In this context, different experimental …
fatigue evaluation of the parts is a crucial issue. In this context, different experimental …
Machine learning of nonlocal micro-structural defect evolutions in crystalline materials
The presence and evolution of defects that appear in the manufacturing process play a vital
role in the failure mechanisms of engineering materials. In particular, the collective behavior …
role in the failure mechanisms of engineering materials. In particular, the collective behavior …
Recent trends in computational damage models: An overview
This work presents an introduction to popular damage and fracture models along with the
major breakthroughs and the current state of the art. The theoretical and computational …
major breakthroughs and the current state of the art. The theoretical and computational …
A thermo-electro-mechanical model for long-term reliability of aging transmission lines
EAB De Moraes, P KC, M Zayernouri - arXiv preprint arXiv:2406.18860, 2024 - arxiv.org
Integrity and reliability of a national power grid system are essential to society's development
and security. Among the power grid components, transmission lines are critical due to …
and security. Among the power grid components, transmission lines are critical due to …
[HTML][HTML] Anomalous features in internal cylinder flow instabilities subject to uncertain rotational effects
A Akhavan-Safaei, SH Seyedi, M Zayernouri - Physics of Fluids, 2020 - pubs.aip.org
We study the flow dynamics inside a high-speed rotating cylinder after introducing strong
symmetry-breaking disturbance factors at cylinder wall motion. We propose and formulate a …
symmetry-breaking disturbance factors at cylinder wall motion. We propose and formulate a …
Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method
Corrosion morphology prediction for civil infrastructure using physics-based simulation is
computationally challenging due to the coupled multi-physics simulations involved in long …
computationally challenging due to the coupled multi-physics simulations involved in long …
Data-driven enhanced phase field models for highly accurate prediction of Mode I and Mode II fracture
By coupling the elastic and crack surface energy in the total potential function, phase field
methods favor a natural track of crack initiation and propagation within the continuum …
methods favor a natural track of crack initiation and propagation within the continuum …
[HTML][HTML] Multiphysics Modeling of Power Transmission Line Failures Across Four US States
The failure of overhead transmission lines in the United States can lead to significant
economic losses and widespread blackouts, affecting the lives of millions. This study …
economic losses and widespread blackouts, affecting the lives of millions. This study …
Multi-Scenario and Stochastic Thermo-Electro-Mechanical Modeling of Failure in Power Transmission Lines
Transmission lines, crucial to the power grid, are subjected to diverse environmental
conditions such as wind, temperature, humidity, and pollution. While these conditions …
conditions such as wind, temperature, humidity, and pollution. While these conditions …
Thermo-Electro-Mechanical Modeling of Power Transmission Line Failures across Four US States
The failure of overhead transmission lines in the United States can lead to significant
economic losses and widespread blackouts, affecting the lives of millions. This study …
economic losses and widespread blackouts, affecting the lives of millions. This study …