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
!!!NEW PAPER ALERT!!! Southern California basin and non-basin classification algorithm for ground-motion site amplification model applications
