High dimensional model representation for reliability analyses of complex rock–soil slope stability

• Autorzy: Vessia G. , Kozubal J. , Puła W.

Identyfikatory

DOI

10.1016/j.acme.2017.04.005.

• Języki publikacji: EN

Abstrakty

EN

The high-dimensional model representation (HDMR) and its modifications, the fractional HDMR (FHDMR) and hybrid HDMR (HHDMR), are new tools for calculating reliability indexes in stability analyses when several variables with large uncertainties are used to describe rock and soil behaviours. Plain HDMR utilises an inverse reliability analysis for the study of unknown design parameters associated with target reliability index values. This approach uses implicit response functions, named limit state functions, according to the response surface method (RSM). In this study, both the FHDMR and HHDMR are applied to the reliability index calculation of safety factors related to the stability analyses of sliding failure mechanisms in complex formations. These two methods improve the computational efficiency of the RSM in reliability index calculations compared to the HDMR. A case study of Carpathian Flysch rock–soil slopes is presented, and the efficiency of the reliability index calculation is estimated by comparing results with ones from neural network application.

Słowa kluczowe

EN

high-dimensional model representation; reliability index; neural network; Carpathian rock–soil slope

PL

model wielowymiarowy; sieć neuronowa; Karpacki stok skalny

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2017
• Tom: Vol. 17, no. 4
• Strony: 954--963
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Vessia G.

• University ‘‘G. d'Annunzio’’ of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti Scalo (CH), Italy

autor

Kozubal J.

• Wrocław University of Science and Technology, Wyb. St. Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Puła W.

• Wrocław University of Science and Technology, Wyb. St. Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)