Erdogan Madenci has been a professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona since 1989. He received his B.S. degrees on both Mechanical and Industrial engineering, and his M.S. degree in Applied Mechanics from Lehigh University, Bethlehem, Pa in 1980, 1981, and 1982, respectively. He received his Ph.D. degree in Engineering Mechanics from UCLA in 1987. Prior to joining the University of Arizona, he worked at Northrop Corporation, Aerospace Corporation, and the Fraunhofer Institute. Also, he worked at the KTH Royal Institute of Technology, NASA Langley Research Center, Sandia National Labs and MIT as part of his sabbatical leaves. He is the lead author of five books on Peridynamics (available in Chinese) and Finite Element analysis. He serves as the Co-Editor-in-Chief of the Journal of Peridynamics and Nonlocal Modeling and an Associate Editor of ASME Open Journal of Engineering. He is a Fellow of ASME and an Associate Fellow of AIAA.
Peridynamics (PD) gained approval in the solid mechanics community since its inception in
2000. It was originally introduced for modeling of progressive failure in materials and
structures. It permits long-range interactions occurring over a finite domain which makes it a
nonlocal continuum theory. It enables differentiation through integration, removes
mathematical singularities, restores nonlocal interactions, introduces an internal length
parameter, links different length scales and enables damage initiation and growth at multiple
sites. The governing equations of PD are integro-differential in nature and do not require the
smoothness of field variables. Over the past 20 years, a considerable number of research
articles have been published on PD. The success in accurately predicting crack propagation in
various materials and for a large range of space, time, and loading scales, has established PD as
an effective tool for engineers and scientists. The purpose of this presentation is to share
recent applications concerning multi-physics modeling, multi-scale modeling, material failure,
data recovery, data manipulation, model discovery from large data and its direct coupling with
finite element method in ANSYS with uniform and nonuniform discretization.