Technical Papers
Sep 8, 2017

Time-Variant System Reliability Assessment by Probability Density Evolution Method

Publication: Journal of Engineering Mechanics
Volume 143, Issue 11

Abstract

The time-variant system reliability analysis is a challenging and significant topic, which also faces the common obstacles of traditional system reliability methods such as combination explosion and unclear correlation information. In this paper, the probability density evolution method (PDEM) for two types of time-variant system reliability analysis is proposed. First, the system reliability is classified into two types, and the corresponding equivalent performance functions are given, which are further extended to time-variant structural systems. Second, based on the single equivalent performance function, the generalized density evolution equation (GDEE) for time-variant structural system is derived in two different ways. Third, the GDEE is solved by the Dirac sequence method and the time-variant system reliability is evaluated. Finally, several numerical examples are investigated to illustrate the accuracy and effectiveness of proposed method.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant Nos. 51678092 and 51478064), and NSFC-JSPS China-Japan Scientific Cooperation Project (NSFC Grant No. 51611140123). This support is gratefully acknowledged.

References

Ang, A. H. S., and Tang, W. H. (1975). Probability concepts in engineering planning and design: Basic principles, Wiley, Chichester, U.K.
Bucher, C. G., and Bourgund, U. (1990). “A fast and efficient response surface approach for structural reliability problems.” Struct. Saf., 7(1), 57–66.
Chen, J. B., and Li, J. (2004). “Difference method for probability density evolution equation of stochastic structural response.” Chin. Q. Mech., 40(4), 21–28 (in Chinese).
Chen, J. B., and Li, J. (2007a). “Development-process-of-nonlinearity-based reliability evaluation of structures.” Probab. Eng. Mech., 22(3), 267–275.
Chen, J. B., and Li, J. (2007b). “The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters.” Struct. Saf., 29(2), 77–93.
Chen, J. B., and Li, J. (2008). “Strategy for selecting representative points via tangent spheres in the probability density evolution method.” Int. J. Numer. Meth. Eng., 74(13), 1988–2014.
Ditlevsen, O. (1979). “Narrow reliability bounds for structural systems.” Struct. Eng. Mech., 7(4), 453–472.
Ditlevsen, O., and Madsen, H. O. (1996). Structural reliability methods, Wiley, Chichester, U.K.
Fan, W. L., Ang, A. H. S., and Li, Z. L. (2017). “Reliability assessment of deteriorating structures using Bayesian updated probability density evolution method (PDEM).” Struct. Saf., 65, 60–73.
Fan, W. L., Chen, J. B., and Li, J. (2009). “Solution of generalized density evolution equation via a family of δ sequences.” Comput. Mech., 43(6), 781–796.
Fan, W. L., Yang, P. C., Ang, A. H. S., and Li, Z. L. (2016). “Analysis of complex system reliability with correlated random vectors.” Probab. Eng. Mech., 45, 61–69.
Feng, Y. S. (1988). “Enumerating significant failure modes of structural system by using criterion methods.” Comput. Struct., 30(3), 1153–1157.
Feng, Y. S. (1989). “A method for computing structural system reliability with high accuracy.” Comput. Struct., 33(1), 1–5.
Li, C. Q. (1996). “Computation of time-dependent structural system reliability without using global limit state functions.” Struc. Build., 116(2), 129–137.
Li, J., and Chen, J. B. (2004). “Probability density evolution method for dynamic response analysis of structures with uncertain parameters.” Comput. Mech., 34(5), 400–409.
Li, J., and Chen, J. B. (2006). “The probability density evolution method for dynamic response analysis of non-linear stochastic structures.” Int. J. Numer. Meth. Eng., 65(6), 882–903.
Li, J., and Chen, J. B. (2007). “The number theoretical method in response analysis of nonlinear stochastic structures.” Comput. Mech., 39(6), 693–708.
Li, J., and Chen, J. B. (2008). “The principle of preservation of probability and the generalized density evolution equation.” Struct. Saf., 30(1), 65–77.
Li, J., Chen, J. B., and Fan, W. L. (2007). “The equivalent extreme-value event and evaluation of the structural system reliability.” Struct. Saf., 29(2), 112–131.
Li, J., and Gao, X. L. (2013). “Probability density evolution method and its application in life-cycle civil engineering.” Struct. Infrastruct. Eng., 10(7), 921–927.
Li, J., Peng, Y. B., and Chen, J. B. (2011). “A physical approach to structural stochastic optimal controls.” Probab. Eng. Mech., 25(1), 127–141.
Melchers, R. E., and Tang, L. K. (1984). “Dominant failure modes in stochastic structural systems.” Struc. Saf., 2(2), 127–143.
Mori, Y., and Ellingwood, B. R. (1993a). “Reliability-based service-life assessment of aging concrete structures.” J. Struct. Eng., 1600–1621.
Mori, Y., and Ellingwood, B. R. (1993b). “Time-dependent system reliability analysis by adaptive importance sampling.” Struct. Saf., 12(1), 59–73.
Nowak, A. S., and Collins, K. R. (2000). Reliability of structures, McGraw-Hill, New York.
Thoft-Christensen, P., and Murotsu, Y. (1986). Application of structural systems reliability theory, Springer, Berlin.
Wen, Y. K. (2001). “Reliability and performance-based design.” Struct. Saf., 23(4), 407–428.
Xu, J., Chen, J. B., and Li, J. (2012). “Probability density evolution analysis of engineering structures via cubature points.” Comput. Mech., 50(1), 135–156.
Zhao, Y. G., and Ang, A. H. S. (2003). “System reliability assessment by method of moments.” J. Struct. Eng., 1341–1349.

Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 143Issue 11November 2017

History

Received: Dec 11, 2016
Accepted: May 19, 2017
Published online: Sep 8, 2017
Published in print: Nov 1, 2017
Discussion open until: Feb 8, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Qingyu Zhou [email protected]
Ph.D. Candidate, School of Civil Engineering, Chongqing Univ., Shaping St. 174, Chongqing 400045, China. E-mail: [email protected]
Wenliang Fan [email protected]
Assistant Professor, School of Civil Engineering, Chongqing Univ., Shaping St. 174, Chongqing 400045, China (corresponding author). E-mail: [email protected]
Zhengliang Li [email protected]
Professor, School of Civil Engineering, Chongqing Univ., Shaping St. 174, Chongqing 400045, China. E-mail: [email protected]
Makoto Ohsaki, M.ASCE [email protected]
Professor, Dept. of Architecture and Architectural Engineering, Kyoto Univ., Kyoto 6158540, Japan. E-mail: [email protected]

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.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share