Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Stochastic Response Surface-Based Probabilistic Analysis of Geosynthetic Reinforced Soil Slope Under Pseudo-Static Conditions
https://orcid.org/http://orcid.org/0000-0003-4599-2544
https://orcid.org/http://orcid.org/0000-0002-7514-8099
A probabilistic analysis of geosynthetic reinforced slope (GRS) is performed in the present study. The pseudo-static approach under the framework of limit equilibrium method of horizontal slices is employed to assess the internal stability of GRS. Simple (2 N + 1) formulation is used for the same, where N stands for number of slices/reinforcements. The probabilistic analysis is carried out using collocation-based stochastic response surface (CSRS) method, given its accuracy and efficiency. A third order Hermite polynomial chaos expansion (HPCE) is employed for the same. The internal friction angle of soil (ϕ), unit weight (γ) and reinforcement tensile strength (Tu) are selected as random variables. The results are examined for two angles of slope inclination viz. β = 50° & 60° to show the versatility of CSRS method with different β. The results from the contemporary study are validated with Monte-Carlo simulation for same set of parameters to check for the accuracy and efficiency of CSRS method. The effect of coefficient of variation (CoV) of ϕ on the probability of failure of GRS is examined in detail. The study concludes that CSRS method incorporating an accurate deterministic model is highly efficient and powerful approach to conduct the probabilistic analysis of GRS.
Stochastic Response Surface-Based Probabilistic Analysis of Geosynthetic Reinforced Soil Slope Under Pseudo-Static Conditions
https://orcid.org/http://orcid.org/0000-0003-4599-2544
https://orcid.org/http://orcid.org/0000-0002-7514-8099
A probabilistic analysis of geosynthetic reinforced slope (GRS) is performed in the present study. The pseudo-static approach under the framework of limit equilibrium method of horizontal slices is employed to assess the internal stability of GRS. Simple (2 N + 1) formulation is used for the same, where N stands for number of slices/reinforcements. The probabilistic analysis is carried out using collocation-based stochastic response surface (CSRS) method, given its accuracy and efficiency. A third order Hermite polynomial chaos expansion (HPCE) is employed for the same. The internal friction angle of soil (ϕ), unit weight (γ) and reinforcement tensile strength (Tu) are selected as random variables. The results are examined for two angles of slope inclination viz. β = 50° & 60° to show the versatility of CSRS method with different β. The results from the contemporary study are validated with Monte-Carlo simulation for same set of parameters to check for the accuracy and efficiency of CSRS method. The effect of coefficient of variation (CoV) of ϕ on the probability of failure of GRS is examined in detail. The study concludes that CSRS method incorporating an accurate deterministic model is highly efficient and powerful approach to conduct the probabilistic analysis of GRS.
Stochastic Response Surface-Based Probabilistic Analysis of Geosynthetic Reinforced Soil Slope Under Pseudo-Static Conditions
https://orcid.org/http://orcid.org/0000-0003-4599-2544
https://orcid.org/http://orcid.org/0000-0002-7514-8099
A probabilistic analysis of geosynthetic reinforced slope (GRS) is performed in the present study. The pseudo-static approach under the framework of limit equilibrium method of horizontal slices is employed to assess the internal stability of GRS. Simple (2 N + 1) formulation is used for the same, where N stands for number of slices/reinforcements. The probabilistic analysis is carried out using collocation-based stochastic response surface (CSRS) method, given its accuracy and efficiency. A third order Hermite polynomial chaos expansion (HPCE) is employed for the same. The internal friction angle of soil (ϕ), unit weight (γ) and reinforcement tensile strength (Tu) are selected as random variables. The results are examined for two angles of slope inclination viz. β = 50° & 60° to show the versatility of CSRS method with different β. The results from the contemporary study are validated with Monte-Carlo simulation for same set of parameters to check for the accuracy and efficiency of CSRS method. The effect of coefficient of variation (CoV) of ϕ on the probability of failure of GRS is examined in detail. The study concludes that CSRS method incorporating an accurate deterministic model is highly efficient and powerful approach to conduct the probabilistic analysis of GRS.
Stochastic Response Surface-Based Probabilistic Analysis of Geosynthetic Reinforced Soil Slope Under Pseudo-Static Conditions
Lecture Notes in Civil Engineering
Sitharam, T. G. (Herausgeber:in) / Kolathayar, Sreevalsa (Herausgeber:in) / Jakka, Ravi (Herausgeber:in) / Agarwal, Ekansh (Autor:in) / Pain, Anindya (Autor:in) / Sarkar, Shantanu (Autor:in)
04.01.2022
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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