Abstract Machine learning (ML) has emerged as a powerful tool for prediction of systems
behavior in many engineering disciplines. A few applications of ML techniques are available …

Anthropogenic changes to the environment can enhance earthquake-triggered landslides,
yet their role in earthquake disasters is often overlooked. Co-seismic landslides frequently …

Observations from previous strong earthquakes reported severe damage of piles installed in
different soils, particularly liquefiable saturated sand deposits. This paper examines the …

Abstract The Liquefaction Experiments and Analysis Projects (LEAP) provides an
international collaboration platform to assess key aspects related to seismic induced soil …

Liquefaction assessment has primarily been performed using in situ penetration testing, but
this practice has become problematic for gravelly soils. For example, standard penetration …

Earthquakes can trigger numerous landslides and cause other significant changes in the
landscape over large areas. This study presents a new processing scheme combining radar …

Developing a reliable, cost-effective liquefaction triggering procedure for characterizing the
liquefaction potential of gravelly soils based on in situ penetration testing has always been a …

Majority of the presently available machine learning (ML) models employed to assess the
liquefaction potential of soils are for sands or sands containing silt fraction. In the current …

This paper provides a near-term reconnaissance of the economic and social impacts of the
November 14th, 2016 Kaikōura earthquakes and tsunami. The effect of this event on the …

Abstract The 2015 M w 7.8 Gorkha, Nepal Earthquake triggered in excess of 20,000
landslides across 14 districts of Central and Western Nepal. Whilst the instantaneous impact …