Jinyan Zhao

Scalable Gaussian Process for Learning Non‐Ergodic Ground Motion Model From Physics‐Based Simulations With Application to Power Infrastructure Assessment

ABSTRACT This study presents the development and application of a scalable non‐ergodic ground motion model (NGMM) for the Los Angeles area. The NGMM is trained and validated on physics‐based simulated ground‐motion data from a recent Statewide California Earthquake Center (SCEC)...