Stability assessment is a geotechnical problem characterized by many sources of uncertainties. Some of them are the variability and the uncertainties in soil parameters determination. Coming from a correct geotechnical site characterization, only a complete approach to the subject lead to perform a significant stability analysis. The purpose of the present paper is to demonstrate how to correctly model data uncertainty in order to perform stability analysis with a good significance degree. Once determined input data, a probabilistic stability assessment (FOSM and Monte Carlo analysis) is performed to obtain the variation of failure probability with correlation coefficient between soil parameters varying. A first result is the demonstration of stability of FOSM (normal and lognormal distributions) and MC solutions, combing from a correct uncertainty modelling. Secondary the paper presents a simple algorithm (FFOSM), which use a fuzzy based analysis applied to data processing
Probabilistic and fuzzy reliability analysis of a slope in Aliano (Basilicata, Italy) / Cherubini, C.; Giasi, C. I.; Masi, P.. - In: MANAGEMENT INFORMATION SYSTEMS. - ISSN 1470-6326. - STAMPA. - 5:(2002), pp. 659-669. (Intervento presentato al convegno 3rd International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, Risk Analysis III tenutosi a Sintra, Portugal nel June 19-21, 2002) [10.2495/RISK020641].
Probabilistic and fuzzy reliability analysis of a slope in Aliano (Basilicata, Italy)
C. Cherubini;C. I. Giasi;
2002-01-01
Abstract
Stability assessment is a geotechnical problem characterized by many sources of uncertainties. Some of them are the variability and the uncertainties in soil parameters determination. Coming from a correct geotechnical site characterization, only a complete approach to the subject lead to perform a significant stability analysis. The purpose of the present paper is to demonstrate how to correctly model data uncertainty in order to perform stability analysis with a good significance degree. Once determined input data, a probabilistic stability assessment (FOSM and Monte Carlo analysis) is performed to obtain the variation of failure probability with correlation coefficient between soil parameters varying. A first result is the demonstration of stability of FOSM (normal and lognormal distributions) and MC solutions, combing from a correct uncertainty modelling. Secondary the paper presents a simple algorithm (FFOSM), which use a fuzzy based analysis applied to data processingI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
