Submission Deadline: 31 May 2026 View: 637 Submit to Special Issue
Professor James D. Lee
Email: jdlee@gwu.edu
Affiliation: Department of Mechanical and Aerospace Engineering The George Washington University, Washington, 20052, USA
Research Interests: continuum mechanics, fracture mechanics, thermomechanical-electromagnetic coupling, molecular dynamics, multiscale modeling
Research Assistant Professor Leyu Wang
Email: lwang28@gmu.edu
Affiliation: Center for Collision Safety and Analysis, George Mason University, Washington, 20052, USA
Research Interests: fracture mechanics, reverse engineering, molecular dynamics, multi-scale analysis, artificial intelligence in computer aided engineering
Dr. Teng Long
Email: longt8@mail.uc.edu
Affiliation: Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, 45221, USA
Research Interests: material modeling, material characterization, biomechanics, fracture mechanics, nonlinear optimization, artificial intelligence
Material failure analysis is a critical issue in science and engineering, especially under extreme conditions. It is the building block in component design in mechanical, aerospace, marine, civil, and biological engineering systems. Historically, the catastrophic failures of ships in World War II drew attention to the importance of fracture mechanics. Space shuttle and airplane accidents led to financial losses and the tragic loss of life. Today, advances in computational power enable the development of digital twin technologies, which provide powerful tools for modeling and analyzing these challenges.
Powered by advanced computational technology, the cutting-edge numerical methods have propelled computer-aided engineering forward. They help us understand the material fracture, failure, and fatigue mechanisms and then predict material failure under complex service conditions. Recent progress in mathematical formulations, computational algorithms, multiscale and multiphysics modeling methodologies has further strengthened this field. Meanwhile, emerging technologies such as artificial intelligence offer a new approach for solving the traditionally challenging problems.
This special issue aims to provide a platform to showcase the state-of-the-art computational algorithms, advance fracture mechanics, damage mechanics, and fatigue modeling, as well as emerging applications. Potential topics include, but are not limited to, the following:
· Computational Fracture Mechanics.
· Multiscale and Multiphysics Modeling.
· Stochastic and Probabilistic in Reliability Engineering.
· Physics-Informed Machine learning.
· Data-driven approach.
· Other Related Digital Twin Applications.
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