Probabilistic Method to Assess Model Uncertainty of Rigid Inclusion on a Granular Fill Supporting a Slab Foundation

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.

Experimental studies of the various soils bedding influence on the stress-strain state of a layered subsoil base of the slab foundation

“…Qualitative and dependable forecasting of stress-strain state of ground bases is urgent problem of modern urban construction. Real soil properties, layered foundation irregularities in depth which influence on the processes in ground bases that occur under external loads, should be best reflected in the used analytical models [1][2][3][4][5]. The development of reliable computational theory of layered ground bases becomes a hot topic at the present time when necessity of the high-rise buildings construction with slab foundations [6][7][8][9][10] under adverse engineering-geological conditions in modern large cities can be observed.…”