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Fuzzy Reliability Analysis for Elastic Settlement of Surface Footing
This paper aims to investigate a reliability-based analysis for the settlement calculation of surface square footing, resting on homogeneous cohesionless soil, using fuzzy sets theory in conjunction with the finite element method (FEM). Spatial variation of the soil parameter (elastic modulus, Es) is also considered to capture the soil’s inherent variability. Both isotropic and anisotropic scale of fluctuations are considered to examine the effect of the same on the probability of failure (Pf) values. A parameter (s0lim) indicating the required minimum limiting settlement for zero Pf is suggested by acknowledging the severity of the existence of Pf in any geotechnical settlement problem. Results reveal that as the coefficient of variation (COV) of Es increases, the failure probability for a particular limiting settlement (slim) also increases. Further, the correlation length in the horizontal direction is found to be more effective than other two directions. Finally, the effect of the inclusion of the spatial variability into the geotechnical settlement problem is observed, and the importance of considering spatial variability is well established.
Fuzzy Reliability Analysis for Elastic Settlement of Surface Footing
This paper aims to investigate a reliability-based analysis for the settlement calculation of surface square footing, resting on homogeneous cohesionless soil, using fuzzy sets theory in conjunction with the finite element method (FEM). Spatial variation of the soil parameter (elastic modulus, Es) is also considered to capture the soil’s inherent variability. Both isotropic and anisotropic scale of fluctuations are considered to examine the effect of the same on the probability of failure (Pf) values. A parameter (s0lim) indicating the required minimum limiting settlement for zero Pf is suggested by acknowledging the severity of the existence of Pf in any geotechnical settlement problem. Results reveal that as the coefficient of variation (COV) of Es increases, the failure probability for a particular limiting settlement (slim) also increases. Further, the correlation length in the horizontal direction is found to be more effective than other two directions. Finally, the effect of the inclusion of the spatial variability into the geotechnical settlement problem is observed, and the importance of considering spatial variability is well established.
Fuzzy Reliability Analysis for Elastic Settlement of Surface Footing
Pramanik, Rajarshi (author) / Baidya, Dilip K. (author) / Dhang, Nirjhar (author)
Eighth International Conference on Case Histories in Geotechnical Engineering ; 2019 ; Philadelphia, Pennsylvania
Geo-Congress 2019 ; 183-192
2019-03-21
Conference paper
Electronic Resource
English
Fuzzy Reliability Analysis for Elastic Settlement of Surface Footing
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