A5069153702- Numerical methods in engineering
- Geotechnical Engineering and Underground Structures
- Material Properties and Failure Mechanisms
- Electromagnetic Simulation and Numerical Methods
- Fatigue and fracture mechanics
- Mechanical stress and fatigue analysis
- Model Reduction and Neural Networks
- Ultrasonics and Acoustic Wave Propagation
- Shape Memory Alloy Transformations
- Advanced Numerical Methods in Computational Mathematics
- Neural Networks and Applications
- Geophysical Methods and Applications
- Metal Forming Simulation Techniques
- Machine Learning in Materials Science
- Fluid Dynamics Simulations and Interactions
- Fire effects on concrete materials
- Organometallic Compounds Synthesis and Characterization
- High Temperature Alloys and Creep
- Engineering Applied Research
- Electromagnetic Scattering and Analysis
- Differential Equations and Boundary Problems
- Antimicrobial agents and applications
- Advanced Numerical Analysis Techniques
- Image Processing Techniques and Applications
- Time Series Analysis and Forecasting
Lehigh University
2024-2025
University of Nebraska–Lincoln
2017-2024
Pennsylvania State University
2022-2023
Baku State University
2020
Isfahan University of Technology
2017-2018
Abstract Pitting corrosion damage is a major problem affecting material strength and may result in difficult to predict catastrophic failure of metallic systems structures. Computational models have been developed study the evolution pitting with goal of, conjunction experiments, providing insight into processes their consequences terms reliability. This paper presents critical review computational for corrosion. Based on anodic reaction (dissolution) kinetics at front, transport ions...
A new peridynamic (PD) model for Intergranular corrosion (IGC) damage is presented. The can simulate conditions ranging from grain boundary-only to full dissolution. Compared with other models, we require minimal input data calibration: Tafel kinetics and electrolyte diffusion coefficient. Once calibrated, the PD predicts, quantitatively, penetration depth of front as well morphology corroded microstructure in AA2024-T3 exposed NaCl solution. We note that, when dissolution negligible over...
This article introduces repassivation and salt film formation models in a peridynamic formulation for corrosion damage. The model leads to autonomous generation of lacy covers pitting development secondary pits. It does not require interface conditions. electrical current density, usually provided as an input into the problem, is obtained part solution procedure. Validation against available 2D experimental results on shows be predictive terms rate pit shape evolution time. influence...
Abstract This paper provides a comprehensive derivation and application of the nonlocal Nernst-Planck-Poisson (NNPP) system for accurate modeling electrochemical corrosion with focus on biodegradation magnesium-based implant materials under physiological conditions. The NNPP extends generalizes peridynamic bi-material model by considering transport multiple ionic species due to electromigration. As in model, naturally accounts moving boundaries dissolution solid metallic liquid electrolyte...
Imposing local boundary conditions in nonlocal/peridynamic models is often desired/needed. Fictitious nodes methods (FNMs) are commonly used techniques for this purpose but they limited, general, to domains with simple geometry. FNMs also mitigate the well-known peridynamic surface/skin effect at boundaries/surfaces. Here, we introduce a general algorithm that automatically locates mirror fictitious mirror-based FNM, without requiring an explicit mathematical description of boundary. The...
Despite the recent popularity of attention-based neural architectures in core AI fields like natural language processing (NLP) and computer vision (CV), their potential modeling complex physical systems remains under-explored. Learning problems are often characterized as discovering operators that map between function spaces based on a few instances pairs. This task frequently presents severely ill-posed PDE inverse problem. In this work, we propose novel operator architecture attention...