Knowledge-Guided Machine Learning for Geotechnical Resilience
With the emerging application of geotechnical asset management (GAM) and the increasing risks due to extreme events and the aging transportation infrastructure, resilience of geotechnical assets is a critical component that should be incorporated within GAM. In this webinar, we discuss a quantitative risk-based approach to define and quantify resilience at individual geotechnical assets and the resilience of a network using heterogenous data sources.