Carleton Professor, Columbia University and President, Multiscale Design Systems, LLC

Received a Ph. D. in Theoretical and Applied Mechanics from Northwestern University in 1989. Dr. Fish is the Carleton Chaired Professor of Engineering at Columbia University, Director of Multiscale Science and Engineering, Editor-in-Chief of the Journal of Multiscale Computational Engineering, Founder and President of Multiscale Design Systems, LLC. 

He is a recipient of the 2010 Computational Mechanics award from the International Association for Computational Mechanics and the 2005 Computational Structural Mechanics award from the US Association for Computational Mechanics. Dr. Fish has written over 180 journal articles and several textbooks including, A First Course in Finite Elements and Practical Multiscaling, both from Wiley. He has an accomplished track record of technology transfer to industry. His multiscale methodologies have been employed by industry for manufacturing processes of GE90 fan blades; design of turbo-engines for Allison Engines, GE and Rolls-Royce; simulation of aerospace structural components for Lockheed-Martin and Sikorski; optimization of energy absorption mechanisms for lightweight composite cars manufactured by Ford, GM and Chrysler; predicting environmental degradation of polyimide-based composites in collaboration with Boeing, GE Aviation and Renegade Materials;  analysis of concrete targets subjected to impact loading by high speed projectiles; design of piezoelectric and ferroelectric materials; and numerous nanotechnology applications including nanodevices and nanocomposites sponsored by Northrop-Grumman, Sandia National Laboratory, Army Research Laboratory and Department of Energy.


The talk presents a practical multiscale-multiphysics design system, which integrates reduced order multiphysics-multiscale analysis capabilities for life prediction and durability of composite structural components within a nonintrusive stochastic multiscale framework for uncertainty quantification and propagation at multiple scales. The stochastic multiscale-multiphysics design system has been successfully deployed in aerospace industry (Lockheed-Martin, Northrop-Grumman, Rolls-Royce, United Technologies, Pratt-Whitney) for durability, fatigue life prediction and environmental degradation of CMC and PMC structural components as well as in automotive industry (General Motors, Automotive Composites Consortium) for crash prediction of composite cars. The talk includes theory, applications and software demonstrations. 

The case is made for a widespread adoption of multiscale methods in practice. We show that it is feasible to reliable predict the behavior of large-scale heterogeneous structural systems well into post-failure regime by accounting for fine-scale material details at a computational cost comparable to the phenomenological modeling of heterogeneous materials.