
pmid: 37587210
pmc: PMC10432409
AbstractThe basal heave stability of supported excavations is an essential problem in geotechnical engineering. This paper considers the probabilistic analysis of basal heave stability of supported excavations with spatially random soils by employing the random adaptive finite element limit analysis and Monte Carlo simulations to simulate all possible outcomes under parametric uncertainty. The effect of soil strength variability is investigated for various parameters, including the width and depth of the excavation ratio, strength gradient factor, and vertical correlation length. Probabilistic basal stability results have also been employed to determine the probability of design failure for a practical range of deterministic factors of safety. Considering probabilistic failure analysis, the more complete failure patterns caused by the various vertical correlation length would decrease the probability of design failure. There are different tendencies between the probability of design failure at the same safety factor with various vertical correlation lengths. These results can be of great interest to engineering practitioners in the design process of excavation problems.
Finite element method, Science, Seismic Design and Analysis of Underground Structures, Structural engineering, FOS: Mechanical engineering, Article, Engineering, Soil water, Machine learning, FOS: Mathematics, Safety, Risk, Reliability and Quality, Stability (learning theory), Civil and Structural Engineering, Probabilistic logic, Soil science, Slope Stability Analysis, Shear strength (soil), Probabilistic analysis of algorithms, Q, Slope stability, Statistics, R, Factor of safety, Geology, FOS: Earth and related environmental sciences, Probabilistic design, Excavation, Computer science, Mechanical engineering, Monte Carlo method, Geotechnical engineering, Parametric statistics, Physical Sciences, Medicine, Random field, Factors of Safety and Reliability in Geotechnical Engineering, Reliability Analysis, Safety factor, Statistics and Mechanisms of Embankment Dam Failures, Engineering design process, Mathematics
Finite element method, Science, Seismic Design and Analysis of Underground Structures, Structural engineering, FOS: Mechanical engineering, Article, Engineering, Soil water, Machine learning, FOS: Mathematics, Safety, Risk, Reliability and Quality, Stability (learning theory), Civil and Structural Engineering, Probabilistic logic, Soil science, Slope Stability Analysis, Shear strength (soil), Probabilistic analysis of algorithms, Q, Slope stability, Statistics, R, Factor of safety, Geology, FOS: Earth and related environmental sciences, Probabilistic design, Excavation, Computer science, Mechanical engineering, Monte Carlo method, Geotechnical engineering, Parametric statistics, Physical Sciences, Medicine, Random field, Factors of Safety and Reliability in Geotechnical Engineering, Reliability Analysis, Safety factor, Statistics and Mechanisms of Embankment Dam Failures, Engineering design process, Mathematics
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