Abstract
In this work, the performance of reliability methods for the probabilistic analysis of local scour at a bridge pier is investigated. The reliability of bridge pier scour is one of the important issues for the risk assessment and safety evaluation of bridges. Typically, the depth prediction of bridge pier scour is estimated using deterministic equations, which do not consider the uncertainties related to scour parameters. To consider these uncertainties, a reliability analysis of bridge pier scour is required. In the recent years, a number of efficient reliability methods have been proposed for the reliability-based assessment of engineering problems based on simulation, such as Monte Carlo simulation (MCS), subset simulation (SS), importance sampling (IS), directional simulation (DS), and line sampling (LS). However, no general guideline recommending the most appropriate reliability method for the safety assessment of bridge pier scour has yet been proposed. For this purpose, we carried out a comparative study of the five efficient reliability methods so as to originate general guidelines for the probabilistic assessment of bridge pier scour. In addition, a sensitivity analysis was also carried out to find the effect of individual random variables on the reliability of bridge pier scour.
Highlights
Pier foundations are crucial for the reliable bed support of bridge structures [1,2].flowing water can lead to erosive action that subsequently transports materials from around the abutments and piers of these structures [3,4]
The basis of the line sampling method is transferring the variables to the normal stanwhere a realization random variable which is defined along dard space, is finding the directionofofthe the most probable point (MPP), and producing samples direction
It is obvious that the results clearly show a decrease in probability of failure (Pf) values with an increase in safety factor values
Summary
Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
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