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 developed a model that predicts soil-bearing strength and thickness to identify stable construction sites and reduce structural risks.
The proposed model predicts soil strength, enabling city planners to identify stable building sites with minimum risk of structural failure Additionally, the model can also predict other soil conditions in real-time and function as an early-warning system to identify potential hazards.
"In the broader context of smart cities, the implications of this study are many. Using advanced predictive models, urban planners and engineers can more accurately assess the suitability of sites for development and optimize the design and placement of buildings, infrastructure, and public utilities," explains Prof. Inazumi.
The bearing strength and thickness of soil layers are indicators of the soil's ability to support buildings and other heavy structures. A generated map of soil-bearing properties can help city planners ensure structures are built on stable foundations, minimizing the risk of failure during soil deformation events. Additionally, the model can be integrated with real-time data from sensors that monitor parameters such as moisture and ground movement.
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