Analysis of RC Member’s Reliability Subjected to Eccentric Compression Based on Monte Carlo Simulation

Article Preview

Abstract:

Reinforced concrete eccentric compression member is one of the most common structural member. Eccentric compression members are divided into large eccentric compression members and small eccentric compression members. Uncertainty of calculation, geometric size and concrete strength were considered as random variables, the reliability of eccentric compression members were discussed by monte carlo simulation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

465-469

Citation:

Online since:

January 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Unified standard for reliability design of building structures (GB50068- 2001) [s]. Beijing: China Architecture &Building Press, (2001).

Google Scholar

[2] ZHAO Guofan: Structural Reliability Theory and Application Engineering [M]. Dalian: Dalian University of Technology press, 1996: 24- 45.

Google Scholar

[3] LV Zhenzhou, Liu Chengli and FuLin: Multi-mode adaptive importance sampling method and its application [ J] . Journal of mechanics, 2006, 38(5): 705- 711.

Google Scholar

[4] GONG Jinxin, HE Shiqin and ZHAO Guofan: Structural reliability analysis by importance directional simulation [ J] . Chinese Journal of Computational Mechanics, 2003, 20 (6): 655 - 661.

Google Scholar

[5] João B. Cardoso, João R. de Almeida, José M. Dias and Pedro G. Coelho, in: Structural reliability analysis using Monte Carlo simulation and neural networks. Advances in Engineering Software, 2008, 39(6): 505-513.

DOI: 10.1016/j.advengsoft.2007.03.015

Google Scholar

[6] Claudio M. Rocco S, A rule induction approach to improve Monte Carlo system reliability assessment, Reliability Engineering & System Safety, 2003, 82(1): 85-92.

DOI: 10.1016/s0951-8320(03)00137-6

Google Scholar

[7] Luca Campioni, Paolo Vestrucci. Monte Carlo importance sampling optimization for system reliability applications, Annals of Nuclear Energy, 2004, 31(9): 1005-1025.

DOI: 10.1016/j.anucene.2004.01.004

Google Scholar