Much more complex Overturning a long-held assumption could change our understanding of when and where soil liquefaction will occur in earthquakes, say US researchers. Their study is published today in ...

In earthquake-prone areas like Japan, there is a need for better prediction of soil stability to mitigate liquefaction risks. Towards this end, researchers have used machine learning models, including ...

Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help ...

Suggested Citation: "8 Use of Computational Mechanics to Predict Liquefaction and Its Consequences." National Academies of Sciences, Engineering, and Medicine. 2021. State of the Art and Practice in ...

Soil liquefaction—the process where saturated soil loses its structure and transforms to a fluid-like state—can have devastating outcomes, as evidenced by the Great East Japan Earthquake in 2011.

Tokyo, one of the world’s most densely populated megacities, sits on a highly active seismic zone where the threat of major earthquakes is ever-present. One of the most destructive aspects of seismic ...

Numerous constitutive laws have been proposed for the numerical analysis of dynamic induced liquefaction of soil materials. In order to be useful to the engineering practice, a numerical technique ...

This image shows a sample comparison between the risk map generated by the researchers using AI and the officially published risk map by the Yokohama authorities. The generated risk map incorporates ...

Earthquake-induced soil liquefaction, often described as the phenomena of seismic generation of excess porewater pressures and consequent softening of granular soils, is a leading cause of earthquake ...