Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
RLEM versus RFEM in Stochastic Slope Stability Analyses in Geomechanics
Spatial variability of geotechnical engineering parameters is an incontrovertible feature, which cannot be overlooked when embarking on stability analyses in soil mechanics. A plethora of methodologies and studies is reported by different researchers across the globe, all bearing witness to the crucial importance of the probabilistic/stochastic variation of soil strength parameters. However, the reliability of different methodologies in substantiation of the inherent variability of natural deposits is not necessarily similar. Chronologically, the Random Finite-Element Method (RFEM) first emerged to contribute to this field. However, with some very promising results, it now transpires that the Random Limit Equilibrium Method (RLEM) is a very robust technique in slope stability analysis, when comparing both the accuracy and time efficiency involved in the calculation process. The current study aims to shed more light on the issue by investigating some comparative stochastic slope stability analyses. Results of some RLEM slope stability analyses are compared with some corresponding RFEM results on a one-on-one basis. The brilliant performance of RLEM in this study obviates the need for cumbersome RFEM calculations, at least in the realm of stochastic slope stability analysis.
RLEM versus RFEM in Stochastic Slope Stability Analyses in Geomechanics
Spatial variability of geotechnical engineering parameters is an incontrovertible feature, which cannot be overlooked when embarking on stability analyses in soil mechanics. A plethora of methodologies and studies is reported by different researchers across the globe, all bearing witness to the crucial importance of the probabilistic/stochastic variation of soil strength parameters. However, the reliability of different methodologies in substantiation of the inherent variability of natural deposits is not necessarily similar. Chronologically, the Random Finite-Element Method (RFEM) first emerged to contribute to this field. However, with some very promising results, it now transpires that the Random Limit Equilibrium Method (RLEM) is a very robust technique in slope stability analysis, when comparing both the accuracy and time efficiency involved in the calculation process. The current study aims to shed more light on the issue by investigating some comparative stochastic slope stability analyses. Results of some RLEM slope stability analyses are compared with some corresponding RFEM results on a one-on-one basis. The brilliant performance of RLEM in this study obviates the need for cumbersome RFEM calculations, at least in the realm of stochastic slope stability analysis.
RLEM versus RFEM in Stochastic Slope Stability Analyses in Geomechanics
Javankhoshdel, Sina (Autor:in) / Rezvani, Moslem (Autor:in) / Fatehi, Mahtab (Autor:in) / Jamshidi Chenari, Reza (Autor:in)
Geo-Congress 2022 ; 2022 ; Charlotte, North Carolina
Geo-Congress 2022 ; 241-250
17.03.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
RLEM versus RFEM in Stochastic Slope Stability Analyses in Geomechanics
| British Library Conference Proceedings | 2022
Three Dimensional Probabilistic Slope Stability Analysis by RFEM
| British Library Conference Proceedings | 2009
The Random Finite Element Method (RFEM) in Slope Stability Analysis
| Springer Verlag | 2007