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CE Seminar Series – Uncertainty quantification and reduction with conditional Gaussian process models in high dimensional stochastic systems
CE Seminar Series – Uncertainty quantification and reduction with conditional Gaussian process models in high dimensional stochastic systems
Ramakrishna Tipireddy, Ph.D. Research Scientist in the Physical and Computational Sciences Directorate Pacific Northwest National Laboratory (PNNL) Abstract This talk will present a brief introduction to uncertainty quantification (UQ) quantification methods for high dimensional stochastic PDEs and introduce conditional Gaussian process (GP) models for...
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MME Seminar Series – Vortex-Breakdown and Wall-Separation States in Swirling Flows in Finite-Length Pipes
MME Seminar Series – Vortex-Breakdown and Wall-Separation States in Swirling Flows in Finite-Length Pipes
Abstract The dynamics of inviscid-limit, incompressible and axisymmetric swirling flows in finite-length, long circular pipes with varying geometries is studied through global analysis techniques and numerical simulations. The inlet flow is described by fixed-in-time profiles of the circumferential and axial velocity together with a fixed...