Dr. Xin Liu received the ASME/Boeing Materials and Structures Award at the ASME Aerospace Structures, Structural Dynamics, and Materials (SSDM) Conference in Renton, Washington. This award is for his paper “Machine Learning-Aided Cohesive Zone Modeling of Fatigue Delamination”. This work is to utilize advanced machine learning models to reduce the computational costs of material calibration for fatigue simulations of composite materials. The paper is collaborative work between UTA, AnalySwift LLC, Dassault Systèmes, and Purdue University.
ASME is a not-for-profit membership organization that enables collaboration, knowledge sharing, career enrichment, and skills development across all engineering disciplines, toward a goal of helping the global engineering community develop solutions to benefit lives and livelihoods. SSDM provides a unique forum to bring together all industry, government, and academia stakeholders to share the latest research and developments in the established disciplines of structures, structural dynamics, and materials and their related areas.