Abstract
Probabilistic approaches to deal with uncertainty on soil mechanic predictions are on the rise. We developed a procedure to deal with uncertainty coming from soil conditions. It was applied to an analytical model to simulate the behavior of a soil improvement work based on rigid inclusion below a slab foundation. The model can predict the settlements of the slab. Even more, it was also able to provide a confidence level based on a probabilistic approach to the input’s variables. Outputs were compared to large-scale tests. The agreement is outstanding. We try to encourage the use of probabilistic models to solve complex geotechnical problems.
Highlights
Engineers are daily involved in predictions over the outputs of natural phenomena and their interaction with the behavior of structures [1]
It was applied to an analytical model to simulate the behavior of a soil improvement work based on rigid inclusion below a slab foundation
The model can predict the settlements of the slab
Summary
Engineers are daily involved in predictions over the outputs of natural phenomena and their interaction with the behavior of structures [1]. Soil mechanics is one of those scientific fields where approaches to uncertainty rely massively on experience This situation makes that uncertainty of the predictions falls behind the current developments more often used in other fields of structural design. A probabilistic method to deal with the outputs of geotechnical site investigations is proposed. They are used to feed an analytical model that predicts the settlement of a rigid inclusion below a slab foundation. Since inputs data are a statistical variable, the settlement prediction will be In this way, a settlement model for this specific problem is validated, and a systematic method to deal with a soil investigation and the uncertainty involved
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