Professor Kedar Kirane Publishes Two New Papers Advancing Computational Mechanics and Fracture Modeling
Associate Professor Kedar Kirane of the Department of Mechanical Engineering at Stony Brook University has recently
published two new research papers that advance the computational modeling of advanced
materials and structural failure.
The first paper, "Rate-dependent microplane triad model for high strain rate behavior of woven composites," was published in the International Journal of Solids and Structures, one of the leading journals in solid mechanics. Co-authored with Sajjid Hasan Asif and Taufiq Abdullah, the study presents a novel computational model for accurately and efficiently predicting the behavior of woven composite materials subjected to high strain-rate loading, such as impact and blast events. The research was supported in part by grants from the U.S. Army Research Office (ARO) and the Office of Naval Research (ONR).
The second paper, "Mesh and internal length sensitivity of the phase field model for quasi-static and dynamic fracture, comparison with the crack band model," was published in collaboration with Professor Reza Abedi in Engineering Fracture Mechanics. The study provides a systematic comparison of two widely used computational fracture modeling approaches, the phase field model and the crack band model, examining their sensitivity to mesh size and characteristic length under both quasi-static and dynamic fracture conditions. The findings offer practical guidance for researchers and engineers seeking reliable and objective computational predictions of fracture.
"Advanced composite materials are increasingly used in applications where they must withstand extreme loading, such as impact and blast events," said Professor Kirane. "Our first study provides a computational model that can predict these complex behaviors with greater efficiency and fidelity, helping engineers design safer and more reliable lightweight structures. Our second study provides practical guidance for selecting appropriate computational fracture modeling techniques, enabling researchers and engineers to obtain more reliable and objective predictions."