Reliability Study of Prefabricated Box Culvert Components Based on Probability Density Evolution Method

被引：1

作者：

Kang Y.-M. ^{[1
]}

Li J.-Q. ^{[1
]}

Liu Z.-A. ^{[1
]}

Yu J.-Y. ^{[1
]}

机构：

[1] School of Resources & Civil Engineering, Northeastern University, Shenyang

来源：

Dongbei Daxue Xuebao/Journal of Northeastern University | 2021年 / 42卷 / 12期

关键词：

Function; Monte Carlo method; Prefabricated box culvert; Probability density evolution method; Reliability of components;

D O I：

10.12068/j.issn.1005-3026.2021.12.016

中图分类号：

学科分类号：

摘要：

The calculation accuracy and efficiency of reliability analysis of prefabricated box culvert components are studied using the probability density evolution method based on the actual project. Firstly, the function of prefabricated box culvert is established, the generalized probability density evolution equation of the function is derived, and the finite difference method is used to solve the problem. Secondly, the probability density function is integrated to get the failure probability of components, and then the corresponding reliability index is obtained. Finally, it is compared with Monte Carlo method to analyze the applicability of probability density evolution method. The results show that: in the process of solving the reliability of prefabricated box culvert components, the probability density evolution method fully considers the randomness of component parameters and the probability relationship between sample points based on the relationship between physical system and stochastic system. Compared with Monte Carlo method, probability density evolution method can avoid random convergence effectively, and improve the accuracy and efficiency of calculation under the premise of guaranteeing the unique result. © 2021, Editorial Department of Journal of Northeastern University. All right reserved.

引用

页码：1782 / 1789

页数：7

共 18 条

[1]

Das S., Application of diagnostic load testing and 3D-FEA in load rating of RC box culverts, Bridge Structures-Assessment, Design and Construction, 9, 4, pp. 155-167, (2013)

[2]

Peng Q, Jin D I, Feng J Q., Shear stress in the webs of single-box multi-cell composite box girders with corrugated steel webs, Engineering Mechanics, 34, 7, pp. 97-107, (2017)

[3]

Kang Yu-mei, Liu Zi-ao, Wu Peng-fei, Structural reliability analysis method considering load sequence, Journal of Northeastern University(Natural Science), 40, 11, pp. 1648-1653, (2019)

[4]

Nie J S, Ellingwood B R., Directional methods for structural reliability analysis, Structural Safety, 22, pp. 233-249, (2000)

[5]

Kleiber M, Hien T D., The stochastic finite element method: basic perturbation technique and computer implementation, pp. 198-235, (1992)

[6]

Ghanem R, Spanos P D., Polynomial chaos in stochastic finite elements, Journal of Applied Mechanics, 57, 1, pp. 197-202, (1990)

[7]

Bhargava K, Mori Y, Ghosh A K., Time-dependent reliability of corrosion-affected RC beams. Part 1: Estimation of time-dependent strengths and associated variability, Nuclear Engineering and Design, 241, 5, pp. 1371-1384, (2011)

[8]

Tang Xiao-song, Li Dian-qing, Cao Zi-jun, Et al., Bootstrap method for slope reliability analysis with limited data, Geotechnical Mechanics, 37, 3, pp. 893-911, (2016)

[9]

Chen X, Lind N C., Fast probability integration by three-parameter normal tail approximation, Structural Safety, 1, 4, pp. 269-276, (1982)

[10]

Guo J, Zhao J, Zeng S., Structural reliability analysis based on analytical maximum entropy method using polynomial chaos expansion, Structural and Multidisciplinary Optimization, 58, 3, pp. 1187-1203, (2018)

← 1 2 →