Prof. Somnath Ghosh
Departments of Civil & Systems Engineering,
Mechanical Engineering and Materials Science & Engineering
Johns Hopkins University

Machine Learning Enabled Parametrically Upscaled Constitutive Models (PUCM): A Data Driven Multiscale Modeling Approach for Metals & Composites

ABSTRACT: This talk will give an overview of the development of the Parametrically Upscaled Constitutive Model (PUCM) and Parametrically Upscaled Crack Nucleation Model (PUCNM) for metallic materials like Ti alloys and Parametrically Upscaled Continuum Damage Mechanics Model (PUCDM) for composites. These thermodynamically consistent constitutive models bridge multiple spatial scales through the explicit representation of representative aggregated microstructural parameters (RAMPs), representing statistical distributions of morphological and crystallographic descriptors of the microstructure. They enable computationally efficient simulations with significant speedup over detailed lower-scale models. A host of computational tools and machine learning (ML) algorithms are developed to create an automated pipeline for parametric upscaling. The novel algorithms used include genetic programming symbolic regression (GPSR) and artificial neural networks (ANNs) for functional representation. The computational tool chain outputs the highly efficient PUCM/PUCNM/PUCDM, which are invaluable tools for multiscale analysis of deformation and failure with implications in location-specific design.

BIOGRAPHY: Professor Somnath Ghosh is the Michael G. Callas endowed Chair Professor in the Department of Civil & Systems Engineering and Professor of Mechanical Engineering and Materials Science & Engineering at Johns Hopkins University (JHU). He is the founding director of the JHU Center for Integrated Structure-Materials Modeling and Simulation (CISMMS). He is currently the director of NASA Space Technology Research Institute (STRI): Institute for Model based Qualification and Certification of Additive Manufacturing (IMQCAM) on additive manufacturing and was the director/PI of the Air Force Center of Excellence in Integrated Materials Modeling (CEIMM). His research focuses on multi-scale structure-materials analysis and simulations, multi-physics modeling and simulation of multi-functional materials, materials characterization, process modeling, and emerging fields like Integrated Computational Materials Engineering (ICME).