Publication

This work investigates the means used to characterize site conditions for seismic ground motion hazard modeling, analysis, and assessment. We embark on the path to quantitatively assign basin categories using machine learning algorithms test discover two length scales work well for Southern California. We discover that with just the use of surface texture as a … Read More

In this paper we evaluate effective noise thresholds of CSN data based on the currently available recordings, to validate the recordings against those from higher-resolution sensors, and to make the data that is judged to be reliable available in a Ground-Motion Database used for ground-motion modeling projects The paper can be found at the following … Read More

This paper is the result of research work wit hey postdoc Dr. Kil-Wan Ko and our collaborator Prof. Robert Kayen. We investigate a liquefaction case history study at a Quay Wall backfill at The Port of Kushiro in Hokkaido based on recently released data from the 2003 Mw8.3 Tokachi-Oki Earthquake. We approach this study using … Read More

This study was motivated by the difficulty in determining the resilient modulus of soils using the repeated load triaxial test (RLTT) recommended by the mechanistic-empirical pavement design guide (MEPDG). An alternative means to estimate the resilient modulus of fine-grained soils has been established in the form of three models that were developed using three supervised … Read More