A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Reliability Coupled Sensitivity Based Design Approach for Gravity Retaining Walls
Abstract Sensitivity analysis involving different random variables and different potential failure modes of a gravity retaining wall focuses on the fact 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 at identifying a probabilistic risk factor (R f ) for each random variable based on the combined effects of failure probability (P f ) of each mode of failure of a gravity retaining wall and sensitivity of each of the random variables on these failure modes. P f is calculated by Monte Carlo simulation and sensitivity analysis of each random variable is carried out by F-test analysis. The structure, redesigned by modifying the original random variables with the risk factors, is safe against all the variations of random variables. It is observed that R f for friction angle of backfill soil (φ 1 ) increases and cohesion of foundation soil (c 2 ) decreases with an increase of variation of φ 1 , while R f for unit weights (γ 1 and γ 2 ) for both soil and friction angle of foundation soil (φ 2 ) remains almost constant for variation of soil properties. The results compared well with some of the existing deterministic and probabilistic methods and found to be cost-effective. It is seen that if variation of φ 1 remains within 5 %, significant reduction in cross-sectional area can be achieved. But if the variation is more than 7–8 %, the structure needs to be modified. Finally design guidelines for different wall dimensions, based on the present approach, are proposed.
Reliability Coupled Sensitivity Based Design Approach for Gravity Retaining Walls
Abstract Sensitivity analysis involving different random variables and different potential failure modes of a gravity retaining wall focuses on the fact 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 at identifying a probabilistic risk factor (R f ) for each random variable based on the combined effects of failure probability (P f ) of each mode of failure of a gravity retaining wall and sensitivity of each of the random variables on these failure modes. P f is calculated by Monte Carlo simulation and sensitivity analysis of each random variable is carried out by F-test analysis. The structure, redesigned by modifying the original random variables with the risk factors, is safe against all the variations of random variables. It is observed that R f for friction angle of backfill soil (φ 1 ) increases and cohesion of foundation soil (c 2 ) decreases with an increase of variation of φ 1 , while R f for unit weights (γ 1 and γ 2 ) for both soil and friction angle of foundation soil (φ 2 ) remains almost constant for variation of soil properties. The results compared well with some of the existing deterministic and probabilistic methods and found to be cost-effective. It is seen that if variation of φ 1 remains within 5 %, significant reduction in cross-sectional area can be achieved. But if the variation is more than 7–8 %, the structure needs to be modified. Finally design guidelines for different wall dimensions, based on the present approach, are proposed.
Reliability Coupled Sensitivity Based Design Approach for Gravity Retaining Walls
Guha Ray, A. (author) / Baidya, D. K. (author)
Journal of The Institution of Engineers (India): Series A ; 93 ; 193-201
2012-09-01
9 pages
Article (Journal)
Electronic Resource
English
Reliability Based Design Optimization of Gravity Retaining Walls
| British Library Conference Proceedings | 2007
| British Library Online Contents | 2016