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 …

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

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 …

On 29 December 2020, a shallow earthquake of magnitude M w 6.4 struck northern Croatia,
near the town of Petrinja, more than 24 hr after a strong foreshock (ML 5). We formed a …

Even though liquefaction in gravelly soil is well documented in many earthquakes since
1891, most of the “simplified procedures” and national buildings codes still consider only …

Case histories from at least 28 earthquakes worldwide have indicated that liquefaction can
occur in gravelly soils (both in natural deposits and manmade reclamations), inducing large …

Earthquake-induced liquefaction phenomena are commonly observed at shallow depths or
at the ground surface above Holocene alluvial deposits. Nonetheless, a high-resolution …

Within the presented research, model tests were performed in 1-g conditions to investigate
the liquefaction potential of Skopje sand as a representative soil from the Vardar River's …

Gravelly soils have liquefied at multiple sites in at least 27 earthquakes over the past 130
years. These gravels typically contain more than 25% sand which lowers the permeability …

Earthquakes and related coseismic effects at the surface, such as liquefaction and lateral
spreading, can impact humans due to the resulting economic or social disruptions (eg slope …