Reliability Analysis of Structural Systems by Stable Configurations
Publication: Journal of Structural Engineering
Volume 116, Issue 10
Abstract
A practical approach for the reliability analysis of structural systems is presented. Practical approximations and simplifications to the theoretical stable‐configuration approach are derived from the cut‐set formulation based on the dominant physical configurations of a given structure. By considering the reliabilities of the initial configuration and those of the dominant configurations (corresponding to one failed component), an estimate of the failure probability of the system is obtained. This estimate, in conjunction with the reliabilities of the remaining components of the structure, is used to select other dominant configurations (corresponding to more failed components). The final system reliability is estimated through the intersection of events corresponding to all the selected dominant configurations. A practical algorithm is suggested, and two numerical examples provided. The approach is shown to be particularly effective for the analysis of the reliability of brittle structural systems, which include the collapse mode of failure.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Ang, A. H.‐S., and Tang, W. H. (1984). Probability concepts in engineering planning and design; Vol. 2. Decision, risk and reliability. John Wiley and Sons, New York, N.Y.
2.
Bennett, R. M., and Ang, A. H.‐S. (1983). “Investigation of methods for structural system reliability.” Structural Research Series No. 510, University of Illinois, Urbana, Ill.
3.
Ditlevsen, O., and Bjerager, P. (1984). “Reliability of highly redundant plastic structures.” J. Engrg. Mech., ASCE, 110(5), 671–693.
4.
Quek, S. T., and Ang, A. H.‐S. (1986). “Structural system reliability by the method of stable configuration.” Structural Research Series No. 529, University of Illinois, Urbana, Ill.
Information & Authors
Information
Published In
Copyright
Copyright © 1990 ASCE.
History
Published online: Oct 1, 1990
Published in print: Oct 1990
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.