2 papers
stat.AP2026
Scalable Gaussian Process for Learning Non-Ergodic Ground Motion Model from Physics-Based Simulations with Application to Power Infrastructure Assessment
Jinyan Zhao, Grigorios Lavrentiadis, Domniki Asimaki
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-base…
stat.AP2026
Phase Transitions in Collective Damage of Civil Structures under Natural Hazards
Sebin Oh, Jinyan Zhao, Raul Rincon +2
The fate of cities under natural hazards depends not only on hazard intensity but also on the coupling of structural damage, a collective process that remains poorly understood. He…