Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction
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 ...
During an earthquake, soil can weaken through subsidence and liquefaction. These processes can cause buildings to collapse as the soil becomes unable to support their weight. Researchers have now ...
In a new study, the conventional understanding of soil liquefaction is being challenged, significantly reshaping our comprehension of earthquake-related soil deformation. Traditionally, soil ...
Computer simulations are helping scientists and engineers improve predictions for liquefaction — a sometimes deadly earthquake effect where the soil loses its stiffness, thus toppling buildings and ...
Cheniere Energy is blazing a trail for US liquefaction as a raft of rivals look to follow suit with exports from the lower 48 states. So far, the combined maximum capacity of six projects in the ...
Soil liquefaction, a destructive phenomenon occurring during earthquakes, has traditionally been associated with undrained conditions near the earthquake epicenter. However, new research conducted by ...
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