15 citations · 29 across the 8 of their papers we have counts for
4 papers · 1 filter
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki +2
We present a data-driven framework for ground-motion synthesis that generates three-component acceleration time histories conditioned on moment magnitude, rupture distance , time-a…
Data-driven Accelerogram Synthesis using Deep Generative Models
Manuel A. Florez, Michaelangelo Caporale, Pakpoom Buabthong +3
Robust estimation of ground motions generated by scenario earthquakes is critical for many engineering applications. We leverage recent advances in Generative Adversarial Networks…
Site characterization at downhole arrays by joint inversion of dispersion data and acceleration time series
Elnaz Seylabi, Andrew Stuart, Domniki Asimaki
We present a sequential data assimilation algorithm based on the ensemble Kalman inversion to estimate the near-surface shear wave velocity profile and damping when heterogeneous d…
Basin Effects in Strong Ground Motion: A Case Study from the 2015 Gorkha, Nepal Earthquake
Peyman Ayoubi, Domniki Asimaki, Kami Mohammadi
The term "basin effects" refers to entrapment and reverberation of earthquake waves in soft sedimentary deposits underlain by concave basement rock structures. Basin effects can si…