A PDEM-based perspective to engineering reliability: From structures to lifeline networks

Jie LI

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Front. Struct. Civ. Eng. ›› 2020, Vol. 14 ›› Issue (5) : 1056-1065. DOI: 10.1007/s11709-020-0636-1
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A PDEM-based perspective to engineering reliability: From structures to lifeline networks

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Abstract

Research of reliability of engineering structures has experienced a developing history for more than 90 years. However, the problem of how to resolve the global reliability of structural systems still remains open, especially the problem of the combinatorial explosion and the challenge of correlation between failure modes. Benefiting from the research of probability density evolution theory in recent years, the physics-based system reliability researches open a new way for bypassing this dilemma. The present paper introduces the theoretical foundation of probability density evolution method in view of a broad background, whereby a probability density evolution equation for probability dissipative system is deduced. In conjunction of physical equations and structural failure criteria, a general engineering reliability analysis frame is then presented. For illustrative purposes, several cases are studied which prove the value of the proposed engineering reliability analysis method.

Keywords

PDEM / reliability / structure / lifeline networks

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Jie LI. A PDEM-based perspective to engineering reliability: From structures to lifeline networks. Front. Struct. Civ. Eng., 2020, 14(5): 1056‒1065 https://doi.org/10.1007/s11709-020-0636-1

References

[1]
Mayer M. Engineering safety, and how to assess it in terms of the limiting stress, instead of the allowable stress. Berlin: Springer, 1926 (in German)
[2]
Rackwitz R, Flessler B. Structural reliability under combined random load sequences. Computers & Structures, 1978, 9(5): 489–494
CrossRef Google scholar
[3]
Rackwitz R. Reliability analysis—A review and some perspectives. Structural Safety, 2001, 23(4): 365–395
CrossRef Google scholar
[4]
Freudenthal A M. The safety of structures. ASCE Transactions, 1947, 112: 125–180
[5]
Cornell C A. A probability-based structural code. Journal of the American Concrete Institute, 1969, 66(12): 974–985
[6]
Lind N C. Consistent Practical Safety Factors. ASCE Structural Transactions, No. ST6. 1971
[7]
Ang A H S, Tang W H. Probability Concepts in Engineering. New York: John Wiley & Sons, 1975
[8]
Li J. On the third generation of structural design theory. In: Proceedings of the 5th International Symposium on Reliability Engineering and Risk Management (5ISRERM). Seoul: Yonsei University, 2016
[9]
Freudenthal A M, Garrelts J M, Shinozuka M. The analysis of structural safety. Journal of the Structural Division, 1966, 92(ST1): 267–325
[10]
Ang A H S, Abdelnour J, Chakker A A. Analysis of activity networks under uncertainty. Journal of the Engineering Mechanics Division, 1975, 101(EM4): 373–378
[11]
Ditlevsen O. Narrow reliability bounds for structural systems. Journal of Structural Mechanics, 1979, 7(4): 453–472
CrossRef Google scholar
[12]
Thoft-Christensen P, Murotsu Y. Application of Structural Systems Reliability Theory. New York: Springer, 1986
[13]
Li J, Chen J B. Stochastic Dynamics of Structures. New York: John Wiley & Sons, 2009
[14]
Li J, Chen J B. The principle of preservation of probability and the generalized density evolution equation. Structural Safety, 2008, 30(1): 65–77
CrossRef Google scholar
[15]
Li J. Probability density evolution equations: History, development and applications. In: Proceedings of the 9th International Conference on Structural Safety and Reliability (ICOSSAR2009). Osaka: Kansai University, 2009
[16]
Hamdia K M, Msekh M A, Silani M, Thai T Q, Budarapu P R, Rabczuk T. Assessment of computational fracture models using Bayesian method. Engineering Fracture Mechanics, 2019, 205: 387–398
CrossRef Google scholar
[17]
Chen J B, Wan Z Q. A compatible probabilistic framework for quantification of simultaneous aleatory and epistemic uncertainty of basic parameters of structures by synthesizing the change of measure and change of random variables. Structural Safety, 2019, 78: 76–87
CrossRef Google scholar
[18]
Chen J B, Sun W L, Li J, Xu J. Stochastic harmonic function representation of stochastic processes. Journal of Applied Mechanics, Transactions ASME, 2013, 80(1): 1–11
[19]
Chen J B, He J R, Ren X D, Li J. Stochastic harmonic function representation of random fields for material properties of structures. Journal of Engineering Mechanics, 2018, 144(7): 04018049
CrossRef Google scholar
[20]
Ding Z D, Li J. A physically motivated model for fatigue damage of concrete. International Journal of Damage Mechanics, 2018, 27(8): 1192–1212
[21]
Xu J. Stochastic dynamic stability analysis of structures and investigation of stability control. Dissertation for the Doctoral Degree. Shanghai: Tongji University, 2014 (in Chinese)
[22]
Li J, Zhou H, Ding Y Q. Stochastic seismic collapse and reliability assessment of high-rise reinforced concrete structures. Structural Design of Tall Building and Buildings, 2018, 27(2): e1417
[23]
Li J, Chen J B, Fan W L. The equivalent extreme-value event and evaluation of the structural system reliability. Structural Safety, 2007, 29(2): 112–131
CrossRef Google scholar
[24]
Miao H Q, Liu W, Li J. The seismic serviceability analysis of water supply network. In: The 6th International Symposium on Reliability Engineering and Risk Management (6ISRERM). Singapore: National University of Singapore, 2018

Acknowledgements

The case studies presented in the paper were completed by my students Dr. Ding, Dr. Zhou and Dr. Miao. Taking this opportunity, the author wishes to express appreciation to all of them.

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