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Methodologies: Data Mining, Multi-scale and Large-scale

Veera Sundararaghavan

Associate Professor, Aerospace Engineering

Prof. Sundararaghavan develops multi-scale computational methods for polycrystalline alloys, polymer composites, and ultra-high temperature ceramic composites to model the effect of microstructure on the overall deformation, fatigue, failure, thermal transport and oxidation response. Recent packages developed include a fully parallel multiscale approach for optimization of polycrystalline alloys during forming processes and a multiscale approach for modeling oxidative degradation in high temperature fiber reinforced ceramic matrix composites. He has made seminal contributions towards the use of multiscale models for accelerated “microstructure-sensitive design” including development of data mining methods for microstructures and reduced order techniques for graphical visualization of microstructure-process-property relationships.

Results from a parallel crystal plasticity code showing the stress distribution in Aluminum alloy microstructure during compression testing.

Results from a parallel crystal plasticity code showing the stress distribution in Aluminum alloy microstructure during compression testing.