Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Risk Factor Based Design of Cantilever Retaining Walls
Abstract Sensitivity analysis of geotechnical random variables on potential failure modes (overturning, sliding, bearing capacity and eccentricity) of a cantilever retaining wall reveals that high sensitivity of a particular variable on a particular mode of failure does not necessarily imply a remarkable contribution to the overall failure probability. The present paper aims to combine probability of failure (Pf) of each failure mode and sensitivity of the random variables to these failure modes and introduces a new factor, called Probabilistic Risk Factor (Rf) for each random variable. Pf is calculated by Monte Carlo Simulation and sensitivity analysis of each random variable is calculated based on normalized F-Statistics value. Rf is a reduction factor which takes into account the variations of random variables and hence can be directly implemented in design by the designers. The random variables (friction angle and unit weight of backfill soil; and friction angle, unit weight and cohesion of foundation soil), when divided by Rf and applied in design, yield a structure which is safe against variations of the random variables. It is observed that Rf of friction angle (φ1) of backfill increases and cohesion (c2) of foundation soil decreases with an increase in variation of φ1, while Rf for unit weights (γ1 and γ2) of both the soil and friction angle of foundation soil (φ2) remains almost constant. Finally, design guidelines for different variations of φ1 are provided based on the proposed methodology, which proves to be cost effective.
Risk Factor Based Design of Cantilever Retaining Walls
Abstract Sensitivity analysis of geotechnical random variables on potential failure modes (overturning, sliding, bearing capacity and eccentricity) of a cantilever retaining wall reveals that high sensitivity of a particular variable on a particular mode of failure does not necessarily imply a remarkable contribution to the overall failure probability. The present paper aims to combine probability of failure (Pf) of each failure mode and sensitivity of the random variables to these failure modes and introduces a new factor, called Probabilistic Risk Factor (Rf) for each random variable. Pf is calculated by Monte Carlo Simulation and sensitivity analysis of each random variable is calculated based on normalized F-Statistics value. Rf is a reduction factor which takes into account the variations of random variables and hence can be directly implemented in design by the designers. The random variables (friction angle and unit weight of backfill soil; and friction angle, unit weight and cohesion of foundation soil), when divided by Rf and applied in design, yield a structure which is safe against variations of the random variables. It is observed that Rf of friction angle (φ1) of backfill increases and cohesion (c2) of foundation soil decreases with an increase in variation of φ1, while Rf for unit weights (γ1 and γ2) of both the soil and friction angle of foundation soil (φ2) remains almost constant. Finally, design guidelines for different variations of φ1 are provided based on the proposed methodology, which proves to be cost effective.
Risk Factor Based Design of Cantilever Retaining Walls
GuhaRay, Anasua (Autor:in) / Ghosh, Sushovan (Autor:in) / Baidya, Dilip Kumar (Autor:in)
2013
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
Risk Factor Based Design of Cantilever Retaining Walls
| Online Contents | 2013
Risk Factor Based Design of Cantilever Retaining Walls
| British Library Online Contents | 2014
| Engineering Index Backfile | 1946
| Engineering Index Backfile | 1965
Load resistance factor design (LRFD) of cantilever retaining walls
| British Library Conference Proceedings | 2008