Description:

Title: Probing Turbulence Physics Using Numerical Simulation Databases - A Case Study in Predictive Science

Speaker: Parviz Moin, Stanford University

Abstract: With the exponential growth in computer power, high fidelity numerical simulations have provided unprecedented comprehensive datasets for the study of the mechanics of turbulent flows. Moin will share a brief review of fundamental research on the structure of wall-bounded turbulent flows with particular emphasis on the role played by large scale numerical simulations in conducting controlled experiments of discovery and the insights gained as a result. On the other hand, the early promise of direct numerical simulations to provide data to improve engineering models has not been fulfilled. He will expand on this in the context of lessons learned of the limitations of data science in the development of physical models.

Special Note: This talk is part of the The Inaugural Stephen H. Davis Symposium

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