Matches in SemOpenAlex for { <https://semopenalex.org/work/W2736312400> ?p ?o ?g. }
- W2736312400 endingPage "143" @default.
- W2736312400 startingPage "127" @default.
- W2736312400 abstract "This chapter presents a surrogate-based approach for system reliability analysis of earth slopes considering random soil properties under the framework of limit equilibrium method of slices. The support vector machine regression (SVR) model is employed as a surrogate to approximate the limit-state function based on the Bishop's simplified method coupled with a nonlinear programming technique of optimization. The value of the minimum factor of safety and the location of the critical slip surface are treated as the output quantities of interest. Finally, Monte Carlo simulation in combination with Latin hypercube sampling is performed via the SVR model to estimate the system failure probability of slopes. Based on the detailed results, the performance of the SVR-based proposed procedure seems very promising in terms of accuracy and efficiency." @default.
- W2736312400 created "2017-07-31" @default.
- W2736312400 creator A5004448893 @default.
- W2736312400 creator A5007121098 @default.
- W2736312400 creator A5023258012 @default.
- W2736312400 date "2017-01-01" @default.
- W2736312400 modified "2023-10-14" @default.
- W2736312400 title "Efficient System Reliability Analysis of Earth Slopes Based on Support Vector Machine Regression Model" @default.
- W2736312400 cites W1506962395 @default.
- W2736312400 cites W1516593024 @default.
- W2736312400 cites W1589669901 @default.
- W2736312400 cites W1758879090 @default.
- W2736312400 cites W1832057845 @default.
- W2736312400 cites W1975048675 @default.
- W2736312400 cites W1977391216 @default.
- W2736312400 cites W1978774026 @default.
- W2736312400 cites W1989982145 @default.
- W2736312400 cites W1995063761 @default.
- W2736312400 cites W2003035369 @default.
- W2736312400 cites W2004195171 @default.
- W2736312400 cites W2004877975 @default.
- W2736312400 cites W2014773637 @default.
- W2736312400 cites W2019044917 @default.
- W2736312400 cites W2019792477 @default.
- W2736312400 cites W2028729397 @default.
- W2736312400 cites W2039014549 @default.
- W2736312400 cites W2041398635 @default.
- W2736312400 cites W2045744921 @default.
- W2736312400 cites W2047989844 @default.
- W2736312400 cites W2056254225 @default.
- W2736312400 cites W2060330047 @default.
- W2736312400 cites W2060913656 @default.
- W2736312400 cites W2064740090 @default.
- W2736312400 cites W2069527243 @default.
- W2736312400 cites W2072069695 @default.
- W2736312400 cites W2083910000 @default.
- W2736312400 cites W2086050039 @default.
- W2736312400 cites W2109126368 @default.
- W2736312400 cites W2117560205 @default.
- W2736312400 cites W2120568063 @default.
- W2736312400 cites W2136432901 @default.
- W2736312400 cites W2144365363 @default.
- W2736312400 cites W2145475762 @default.
- W2736312400 cites W2158994553 @default.
- W2736312400 cites W2168491582 @default.
- W2736312400 cites W2183262228 @default.
- W2736312400 cites W2195676146 @default.
- W2736312400 cites W2224903654 @default.
- W2736312400 cites W2239613837 @default.
- W2736312400 cites W2256903806 @default.
- W2736312400 cites W2258528664 @default.
- W2736312400 cites W2269060066 @default.
- W2736312400 cites W2313523745 @default.
- W2736312400 cites W2333815705 @default.
- W2736312400 cites W2413307192 @default.
- W2736312400 cites W2513970457 @default.
- W2736312400 cites W2518401364 @default.
- W2736312400 cites W2592482542 @default.
- W2736312400 cites W2608628907 @default.
- W2736312400 cites W2913344915 @default.
- W2736312400 doi "https://doi.org/10.1016/b978-0-12-811318-9.00007-7" @default.
- W2736312400 hasPublicationYear "2017" @default.
- W2736312400 type Work @default.
- W2736312400 sameAs 2736312400 @default.
- W2736312400 citedByCount "4" @default.
- W2736312400 countsByYear W27363124002018 @default.
- W2736312400 countsByYear W27363124002020 @default.
- W2736312400 countsByYear W27363124002023 @default.
- W2736312400 crossrefType "book-chapter" @default.
- W2736312400 hasAuthorship W2736312400A5004448893 @default.
- W2736312400 hasAuthorship W2736312400A5007121098 @default.
- W2736312400 hasAuthorship W2736312400A5023258012 @default.
- W2736312400 hasConcept C105795698 @default.
- W2736312400 hasConcept C11413529 @default.
- W2736312400 hasConcept C121332964 @default.
- W2736312400 hasConcept C12267149 @default.
- W2736312400 hasConcept C126255220 @default.
- W2736312400 hasConcept C131675550 @default.
- W2736312400 hasConcept C154945302 @default.
- W2736312400 hasConcept C158622935 @default.
- W2736312400 hasConcept C163258240 @default.
- W2736312400 hasConcept C173608175 @default.
- W2736312400 hasConcept C19499675 @default.
- W2736312400 hasConcept C20820323 @default.
- W2736312400 hasConcept C33923547 @default.
- W2736312400 hasConcept C41008148 @default.
- W2736312400 hasConcept C43214815 @default.
- W2736312400 hasConcept C50820777 @default.
- W2736312400 hasConcept C62520636 @default.
- W2736312400 hasConceptScore W2736312400C105795698 @default.
- W2736312400 hasConceptScore W2736312400C11413529 @default.
- W2736312400 hasConceptScore W2736312400C121332964 @default.
- W2736312400 hasConceptScore W2736312400C12267149 @default.
- W2736312400 hasConceptScore W2736312400C126255220 @default.
- W2736312400 hasConceptScore W2736312400C131675550 @default.
- W2736312400 hasConceptScore W2736312400C154945302 @default.
- W2736312400 hasConceptScore W2736312400C158622935 @default.
- W2736312400 hasConceptScore W2736312400C163258240 @default.