Bridge Structure Random Reliability Analysis

2012 ◽  
Vol 193-194 ◽  
pp. 1338-1341
Author(s):  
Li Ye Zhang ◽  
Xue Dong Guo ◽  
Li Juan Dong

In order to analyse bridge structure system reliability, studied various uncertainty factors on the influence of the bridge reliability, using the stochastic finite element method to analyse bridge reliability, according to the influence of bridge structure reliability uncertainty factors, including geometric parameter uncertainty, material properties uncertainty, the bridge weights uncertainty and the vehicle load uncertainty.According to the bridge actual working condition, respectively used stress and deflection deformation as the bridge structure safety control index, established 2 each reliability function, that is, considered the structure of the two failure mode.Using Monte-Carlo method to analyze the bridge structure reliability, verify the reliability analysis method is feasible, the bridge reliability about sensitivity factors, and provides the basis for the bridge structure reliability analysis.

Structures ◽  
2021 ◽  
Vol 34 ◽  
pp. 3247-3256
Author(s):  
Debiao Meng ◽  
Zhiyuan Lv ◽  
Shiyuan Yang ◽  
Hongtao Wang ◽  
Tianwen Xie ◽  
...  

2011 ◽  
Vol 217-218 ◽  
pp. 256-261
Author(s):  
Zhao Qiang Zhang ◽  
Zhong Guo Yang

As the uncertainty of the influencing factors including the vehicle load and road environment and the complexity of road structure design parameters making the structural design of concrete pavement does not match with the actual existing situation, therefore, how to further improve the existing pavement design methods and how to scientifically and reasonably evaluate the reliability of the existing pavement performance have been a hot issue among academics and engineers at home and abroad. This paper analyzes and summarizes results of recent studies on the basis, combining with the actual situation of concrete pavement project, and carries out a more in-depth systematic study on the reliability analysis of concrete pavement. By studying the basic theory of engineering structure reliability, this paper proposes analysis methods of pavement reliability which are appropriate for the characteristics of pavement structure.


2011 ◽  
Vol 250-253 ◽  
pp. 3934-3940
Author(s):  
Yi Fang Feng ◽  
Hua Zhi Zhang ◽  
Yu Wang ◽  
Qing Jun Zuo

Based on the Yuwangbian high loess slope, which is located in Xi'an Yanta District, the basic principle of Monte-Carlo method is presented. By means of geotechnical engineering and geotechnical environment emulation software Geostudio-slope/w and based on Morgenstern-Price slope stability analysis method, the reliability and stability of the slope are analyzed under different kinds of working condition. The stability factor, reliability index and failure probability under the corresponding working conditions has been obtained. The results coincide with the actual condition, which makes the Geostudio software combine with the Monte-Carlo method and provides reference for the reliability analysis of loess slope.


1987 ◽  
Vol 14 (2) ◽  
pp. 155-162 ◽  
Author(s):  
T. Tharmabala ◽  
Andrzej S. Nowak

System reliability of bridge structures is investigated. Three terms are used to describe the standard reliability: structure function, reliability network, and reliability function. A bridge structure is represented by a reliability network which makes it possible to formulate the reliability function of the system. The reliability function is used to evaluate the reliability of the system. Reliability network and the reliability function are formulated for various types of bridges. Effects of component failures on system reliability are illustrated with examples. Key words: bridges, mathematical models, redundancy, system reliability.


Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 229
Author(s):  
Fangyi Li ◽  
Yufei Yan ◽  
Jianhua Rong ◽  
Houyao Zhu

In practical engineering, due to the lack of information, it is impossible to accurately determine the distribution of all variables. Therefore, time-variant reliability problems with both random and interval variables may be encountered. However, this kind of problem usually involves a complex multilevel nested optimization problem, which leads to a substantial computational burden, and it is difficult to meet the requirements of complex engineering problem analysis. This study proposes a decoupling strategy to efficiently analyze the time-variant reliability based on the mixed uncertainty model. The interval variables are treated with independent random variables that are uniformly distributed in their respective intervals. Then the time-variant reliability-equivalent model, containing only random variables, is established, to avoid multi-layer nesting optimization. The stochastic process is first discretized to obtain several static limit state functions at different times. The time-variant reliability problem is changed into the conventional time-invariant system reliability problem. First order reliability analysis method (FORM) is used to analyze the reliability of each time. Thus, an efficient and robust convergence hybrid time-variant reliability calculation algorithm is proposed based on the equivalent model. Finally, numerical examples shows the effectiveness of the proposed method.


2020 ◽  
Vol 66 (1) ◽  
Author(s):  
Qiongyao Wu ◽  
Shuang Niu ◽  
Enchun Zhu

Abstract Duration of load (DOL) is a key factor in design of wood structures, which makes the reliability analysis of wood structures more complicated. The importance of DOL is widely recognized, yet the methods and models through which it is incorporated into design codes vary substantially by country/region. Few investigations of the effect of different model assumptions of DOL and other random variables on the results of reliability analysis of wood structures can be found. In this paper, comparisons are made on the reliability analysis methods that underlie the China and the Canada standards for design of wood structures. Main characteristics of these two methods, especially the way how DOL is treated are investigated. Reliability analysis was carried out with the two methods employing the same set of material properties and load parameters. The resulted relationships between reliability index β and resistance partial factor γR* (the β–γR* curves) for four load combinations are compared to study the safety level indicated by the two methods. The comparison shows that the damage accumulation model (Foschi–Yao model) in the Canada analysis method is highly dependent on the type and duration of load, resulting in more conservative design than the China analysis method in loading cases dominated by dead load, but less conservative design in cases of high level of live loads. The characteristics of the load effect term of the performance function are also found to make considerable difference in reliability levels between the two methods. This study aims to provide references for researchers and standard developers in the field of wood structures.


2015 ◽  
Vol 32 (7) ◽  
pp. 2505-2517 ◽  
Author(s):  
Xiao-jian Yi ◽  
B.S. Dhillon ◽  
Jian Shi ◽  
Hui-na Mu ◽  
Hai-ping Dong

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