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Continuing Improving Virtually Guided Certification for Product Design with Implicit FEA Software LS-DYNA

Seid Koric, University of Illinois at Urbana-Champaign

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Seid Koric, Anshul Gupta, Erman Guleryuz, Matthew Zappulla, Yumeng Li, Xin Chen

This project aims to advance current state-of-the-art computationally-intensive models in the implicit finite element software LS-DYNA and to remove the scaling barriers in its multifrontal direct sparse solver.  This proposal will build on the recent success with the explicit solver in LS-DYNA  on Blue Waters. Our effort to enhance the parallel scaling of LS-DYNA will be done in the context of enabling virtual certification of gas turbine engines. The implicit solver generally performs more efficiently for high-fidelity thermal-mechanical analysis of jet engine processes than its explicit counterpart. Rolls Royce will provide large whole-engine FEA models for testing that are representative of gas turbine engine problems used in virtually guided certification for risk mitigation, to support physical engine testing, and for post-test validation of modeling and simulation techniques.  The PI, in his recent academic work on Blue Waters with a similar multifrontal direct solver, has demonstrated an unprecedented level of scalability on over 65,000 cores, clearly demonstrating  the feasibility of  the proposed work in this project.