4 papers
Accelerating Bayesian Optimal Experimental Design via Local Radial Basis Functions: Application to Soft Material Characterization
Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson
We develop a computational approach that significantly improves the efficiency of Bayesian optimal experimental design (BOED) using local radial basis functions (RBFs). The present…
Stochastic reduced-order Koopman model for turbulent flows
Tianyi Chu, Oliver T. Schmidt
A stochastic data-driven reduced-order model applicable to a wide range of turbulent natural and engineering flows is presented. Combining ideas from Koopman theory and spectral mo…
Revealing Structure and Symmetry of Nonlinearity in Natural and Engineering Flows
Brandon Yeung, Tianyi Chu, Oliver T. Schmidt
Energy transfer across scales is fundamental in fluid dynamics, linking large-scale flow motions to small-scale turbulent structures in engineering and natural environments. Triadi…
Mesh-Free Hydrodynamic Stability
Tianyi Chu, Oliver T. Schmidt
A specialized mesh-free radial basis function-based finite difference (RBF-FD) discretization is used to solve the large eigenvalue problems arising in hydrodynamic stability analy…