[HTML][HTML] A review of peridynamic theory and nonlocal operators along with their computer implementations

M Dorduncu, H Ren, X Zhuang, S Silling… - Computers & …, 2024 - Elsevier
This study presents a comprehensive exploration of Peridynamic (PD) theory, with a specific
focus on its theoretical foundations and practical implementations, including various PD …

An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator

A Mavi, AC Bekar, E Haghighat, E Madenci - Computer Methods in Applied …, 2023 - Elsevier
This study presents a novel unsupervised convolutional Neural Network (NN) architecture
with nonlocal interactions for solving Partial Differential Equations (PDEs). The nonlocal …

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 …

XFEM and machine learning combined approach for failure prediction of microcapsules in cement-based self-healing materials

Q Song, X Wang, Y Fang, F Xing - Construction and Building Materials, 2023 - Elsevier
The cracking behavior of microcapsules in cement-based self-healing materials is essential
for releasing healing agents during crack healing. In this study, the extended finite element …

Bayesian nonlocal operator regression: A data-driven learning framework of nonlocal models with uncertainty quantification

Y Fan, M D'Elia, Y Yu, HN Najm… - Journal of Engineering …, 2023 - ascelibrary.org
We consider the problem of modeling heterogeneous materials where microscale dynamics
and interactions affect global behavior. In the presence of heterogeneities in material …

Advances in Understanding the Evolution Mechanism of Micropore Defects in Metal Materials under External Loads

J Liang, M Zhang, Y Peng, J Wang - Metals, 2024 - mdpi.com
Micropores are one of the critical factors affecting materials' performance and service life. As
the need for a deeper understanding of micropore evolution and damage mechanisms …

ML-based identification of the interface regions for coupling local and nonlocal models

N Nader, P Diehl, M D'Elia, C Glusa… - arXiv preprint arXiv …, 2024 - arxiv.org
Local-nonlocal coupling approaches combine the computational efficiency of local models
and the accuracy of nonlocal models. However, the coupling process is challenging …

I-FENN with Temporal Convolutional Networks: Expediting the load-history analysis of non-local gradient damage propagation

P Pantidis, H Eldababy, D Abueidda… - Computer Methods in …, 2024 - Elsevier
In this paper, we demonstrate for the first time how the Integrated Finite Element Neural
Network (I-FENN) framework, previously proposed by the authors [1],[2], can efficiently …

Multi-Scenario and Stochastic Thermo-Electro-Mechanical Modeling of Failure in Power Transmission Lines

P KC, M Naghibolhosseini, M Zayernouri - arXiv preprint arXiv:2407.18857, 2024 - arxiv.org
Transmission lines, crucial to the power grid, are subjected to diverse environmental
conditions such as wind, temperature, humidity, and pollution. While these conditions …

A General Return-Mapping Framework for Fractional Visco-Elasto-Plasticity

JL Suzuki, M Naghibolhosseini, M Zayernouri - Fractal and fractional, 2022 - mdpi.com
We develop a fractional return-mapping framework for power-law visco-elasto-plasticity. In
our approach, the fractional viscoelasticity is accounted for through canonical combinations …