Reliable, Accurate, Predictive Simulation Of Contemporary Large-Scale Coupled Multiphsics-Multiresolution Problems
Nov 18, 2009 12:00 am to Nov 18th, 2009 12:00 am
CANCELED WILL BE RESCHEDULED FOR SPRING
Graham F. Carey, CFDLab, ICES, UT Austin
Bio
Dr. Graham F. Carey is a member of the interdisciplinary Institute for Computational Engineering and Sciences (ICES) and a Professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin and holder of the Richard B. Curran Centennial Chair in Engineering. He is Director of the Computational Fluid Dynamics Laboratory. He has a B.S. (Hons.) degree from Australia, and M.S. and Ph.D. degrees from the University of Washington at Seattle. His research and teaching activities primarily deal with techniques in computational mechanics, particularly finite element methods and supercomputing. Related research experience includes periods as a research faculty member in Civil Engineering Australia (1966-68), and as a research engineer at the Boeing Company, Seattle (1968-70), during which time he worked in finite element formulation and computation of nonlinear problems. Prior to joining the University of Texas faculty, he held the positions of Research Assistant to Research Associate Professor at the University of Washington (1974-76), working on computational problems in mechanics.
Publications include a textbook co-authored with H.C. Martin, entitled Introduction to Finite Element Analysis (McGraw-Hill, 1973), co-authorship of a series of six graduate level monographs entitled Finite Elements (Prentice Hall), and co-editorship of the book Finite Elements in Fluids (1985). Dr. Carey edited a volume entitled Parallel Supercomputing Methods and Algorithms (Wiley, U.K., 1989) and another volume entitled Finite Element Modeling of Environmental Problems (Wiley, U.K., 1995). Dr. Carey co-authored a textbook entitled Circuit, Device and Process Simulation published in February 1996 (Wiley, U.K.) and a monograph on Computational Grids: Generation, Adaptation and Solution Strategies was published by Taylor and Francis, Publ. Co. in 1997. Dr. Carey has also authored over 200 journal articles and numerous conference proceedings articles and book chapters in the general area of computational mechanics and finite element technology. He is editor of the Wiley International Journal, Communications in Numerical Methods in Engineering and on the editorial board of several other journals.
Additional activities in computational mechanics include membership in the American Academy of Mechanics, SIAM, the Society for Engineering Sciences, Committee on Computational Methods in Engineering Mechanics, with listings in the International Directory of Engineering Analysts, Who's Who in the South and Southwest, Who's Who in Frontiers of Science and Technology, and Who's Who in the World. Dr. Carey is an adjunct fellow of the Minnesota Supercomputer Institute and is a fellow of the International Association for Computational Mechanics. He was named to the W. J. Murray Centennial Teaching Fellowship in 1986 and also received an Engineering Foundation Excellence Award and a high performance computing "Gigaflop" award in 89. He is the recipient of the Ex-Students' Association 1995 Texas Excellence Teaching Award in the College of Engineering. His principal research interests involve the development of finite element algorithms for large scale applications on parallel supercomputers and related topics in computer simulation.
AbstractAccurate, reliable predictive simulation of complex nonlinear, coupled field problems that exhibit interactions at different spatial and temporal scales is a major computational challenge. A further complication of growing importance is the need to certify results and assess risk in predictive simulations. Part of this talk will describe theory and methodology underlying an integrated approach as well as algorithm and software needed to realize reliable predictive simulations with practical error bounds on model, discretization and other sources of error. Related aspects of �verification and validation� will also be discussed. The ideas will be illustrated for parallel mesh adaptive strategies using the open source software library �LIBMESH� developed in our Computational Fluid Dynamics laboratory (CFDLab). Selected results on applications such as cellular patterns in Rayeigh-Benard-Marangoni heat and fluid flow problems, Ginzburg-Landau vortex models, biomedical/ biological models, high speed gas dynamics, and material separation with phase field interfacial models will be presented. Use of the Lonestar and Ranger parallel supercomputer systems at TACC has been made in the large-scale simulations. Work in progress with Libmesh coupled to Sandia software DAKOTA for UQ will be briefly discussed. Finally, I will comment on some aspects of predictive simulation and UQ for the NASA re-entry space vehicle.Available MediaThere Is No Media Available For Download.
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