In this paper we investigate the use causal inferencing to quantify the benefits of seismic risk mitigation strategies during real earthquakes. Specifically, we devise a framework to quantify realized and unrealized befits of cripple retrofit during hte 2014 South Napa earthquake. We find that the cost saved (from inevitable damage) due to the retrofits was … Read More
Through this study we investigate the seismic response of Briones Dam in California by analyzing both earthquake ground motion records and ambient vibration data. We aimed to understand how the dam’s embankment behaves during seismic loading and whether ambient noise methods can reliably characterize its dynamic properties. Using a combination of HVSR analysis, empirical transfer … Read More
Years of working with earthquake ground motion datasets exposed recurring challenges such as inconsistencies in metadata and inefficient data querying, amongst others, all of which hindered the flow of scientific analysis. We embarked on an effort to address these challenges and what began as a small collaboration among postdocs and graduate students grew into a … Read More
This is the result of research endeavors with my Postdoc Kil-Wan Ko and our collaborator Prof. Robert Kayen. In this work, we introduced a new method to identify the timing of liquefaction triggering using acceleration records by leveraging a new concept, the Spectral Energy Ratio (SER). The method was validated through centrifuge test data in … Read More