Weiwei Zhan

Weiwei Zhan

Assistant Professor at University of Central Florida

Accelerogram-based Real-time Liquefaction Hazard Detection

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I developed a new accelerogram-based method and a worldwide database with paired liquefaction observations and ground motion records. The new method consisted of a logistic regression model and an automated signal processing procedure that extracts two physics- informed features for liquefaction detection from the raw accelerograms using different signal processing techniques. I also evaluated the performance and sensitivity of the accelerogram-based liquefaction detection method to different earthquake source, path, and site conditions.


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Open-source Geospatial Liquefaction Database and Associated Tools

OpenLIQ is a geospatial database of global seismic liquefaction hazards. The OpenLIQ database currently includes ~290,000 samples (~63% of them are liquefaction points) and 19 geospatial predictors for 51 worldwide earthquakes. In addition, the OpenLIQ project includes a semi-automatic GIS workflow that can automatically conduct geospatial sampling of liquefaction and non- liquefaction points from liquefaction inventories (georeferenced liquefaction points and/or polygons), extract candidate geospatial predictors, and generate maps for quality check and visualization purposes. This workflow only requires limited manual inputs (e.g., incomplete or complete liquefaction inventory, and raster data for geospatial predictors). The GIS workflow will be used to process new liquefaction inventories, and the OpenLIQ database will be used to advance applications of different machine learning and uncertainty quantification methods in global geospatial liquefaction modeling.

Evaluating the Accelerogram-based Liquefaction Detection Method Using Continuous Earthquake Recordings

I further evaluate the performance of the new method using continuous earthquake recordings at four seismic stations. The results suggest the method performs better at the soft-soil sites than at the stiff-soil sites and tends to make false negative predictions for very strong earthquakes. This study highlights the applicability of the new accelerogram-based method to regions with continuous earthquake monitoring.

Site Response Temporal Change Evaluation

To examine if the large interevent variability of seismic site responses at liquefiable sites is reducible, I investigated the temporal variability of seismic site responses at a liquefiable site using the sliding window spectral ratio method. I used stacked images of surface-to-borehole spectral ratios to track changes in seismic site response characteristics at temporal scales varying from seconds to decades. I observed that resonance frequencies dropped by ~70% during the mainshock of a liquefaction-triggering strong earthquake (indicating significant soil softening behaviors) and had an ephemeral increase by ~40% due to the strong soil dilatant behavior. In addition, I observed that the resonance frequency recovered after a strong earthquake at two phases with different recovery speeds and fluctuated along the seasonal changes of hydrologic conditions in the shallow subsurface.