Instytut Budownictwa Wodnego
Polskiej Akademii Nauk

Essay #9196 details

ATTRIBUTEVALUE
typeC
database id9196
title
authors
year2020
seriesGeotechnical and Geological Engineering
issue38
attributes[published] [reviewed] [scientific] [international reach]
languageen

Parts

ATTRIBUTEVALUE
typeA
database id9197
titleReliability-Based Stability Analysis of a Baltic Cliff by the Combined Response Surface Method
authorsWinkelmann K., Zabuski L., Przewłócki J., Górski J.
pages5549 — 5563
DOI10.1007/s10706-020-01384-5
full text linkhttps://link.springer.com/content/pdf/10.1007/s10706-020-01384-5.pdf
keywordsProbabilistic sensitivity, Reliability, Cliff stability, Monte Carlo method, Response Surface Method, Point Estimate Method
affiliations
  1. Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland
  2. Institute of Hydro-Engineering, Polish Academy of Sciences, Kościerska 7, 80-328, Gdańsk, Poland
  3. Faculty of Architecture, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland
abstractsThe study presents a probabilistic stability analysis of a Baltic cliff in Jastrzębia Góra, Poland. Progressive slope erosion is a threat to adjacent buildings, so safety assessment of the slope is essential. The cliff shows a compound, multi-layered geological structure, which makes the analysis of its reliability a complex multivariate problem. A simple, straightforward computational procedure was proposed, incorporating the Response Surface Method (RSM) linked with the standard Monte Carlo (MC) simulation method and the Point Estimate Method (PEM). PEM samples make it possible to analyse the sensitivity of the cliff’s stability to variation in subsoil parameters and to reduce the number of random variables of the problem. The proposed methods were tested in two cases: a high failure probability (undrained state) and a moderate failure probability (drained case). The so-called combined Response Surface Method (CRSM) proposed here may be successfully applied in geotechnical computations characterized by dispersion and uncertainty of soil data as well as a relatively high damage probability.
attributes[reviewed] [scientific]
languageen

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