Please wait a minute...
Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

邮发代号 80-968

2019 Impact Factor: 1.68

Frontiers of Structural and Civil Engineering  2020, Vol. 14 Issue (5): 1056-1065   https://doi.org/10.1007/s11709-020-0636-1
  本期目录
A PDEM-based perspective to engineering reliability: From structures to lifeline networks
Jie LI()
School of Civil Engineering & State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
 全文: PDF(1701 KB)   HTML
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.

Key wordsPDEM    reliability    structure    lifeline networks
收稿日期: 2019-04-02      出版日期: 2020-11-16
Corresponding Author(s): Jie LI   
 引用本文:   
. [J]. Frontiers of Structural and Civil Engineering, 2020, 14(5): 1056-1065.
Jie LI. A PDEM-based perspective to engineering reliability: From structures to lifeline networks. Front. Struct. Civ. Eng., 2020, 14(5): 1056-1065.
 链接本文:  
https://academic.hep.com.cn/fsce/CN/10.1007/s11709-020-0636-1
https://academic.hep.com.cn/fsce/CN/Y2020/V14/I5/1056
Fig.1  
Fig.2  
Fig.3  
fatigue cycles fatigue reliability
2000000 0.9932
2500000 0.9342
3000000 0.8788
3500000 0.7744
4000000 0.6500
4500000 0.4057
5000000 0.2405
Tab.1  
fatigue reliability fatigue cycles
0.99 2046644
0.95 2301441
0.90 2857590
0.80 3400167
0.70 3845917
0.60 4139996
0.50 4315190
Tab.2  
Fig.4  
Fig.5  
Fig.6  
Fig.7  
Fig.8  
Fig.9  
Fig.10  
1 M Mayer. Engineering safety, and how to assess it in terms of the limiting stress, instead of the allowable stress. Berlin: Springer, 1926 (in German)
2 R Rackwitz, B Flessler. Structural reliability under combined random load sequences. Computers & Structures, 1978, 9(5): 489–494
https://doi.org/10.1016/0045-7949(78)90046-9
3 R Rackwitz. Reliability analysis—A review and some perspectives. Structural Safety, 2001, 23(4): 365–395
https://doi.org/10.1016/S0167-4730(02)00009-7
4 A M Freudenthal. The safety of structures. ASCE Transactions, 1947, 112: 125–180
5 C A Cornell. A probability-based structural code. Journal of the American Concrete Institute, 1969, 66(12): 974–985
6 N C Lind. Consistent Practical Safety Factors. ASCE Structural Transactions, No. ST6. 1971
7 A H S Ang, W H Tang. Probability Concepts in Engineering. New York: John Wiley & Sons, 1975
8 J Li. 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 A M Freudenthal, J M Garrelts, M Shinozuka. The analysis of structural safety. Journal of the Structural Division, 1966, 92(ST1): 267–325
10 A H S Ang, J Abdelnour, A A Chakker. Analysis of activity networks under uncertainty. Journal of the Engineering Mechanics Division, 1975, 101(EM4): 373–378
11 O Ditlevsen. Narrow reliability bounds for structural systems. Journal of Structural Mechanics, 1979, 7(4): 453–472
https://doi.org/10.1080/03601217908905329
12 P Thoft-Christensen, Y Murotsu. Application of Structural Systems Reliability Theory. New York: Springer, 1986
13 J Li, J B Chen. Stochastic Dynamics of Structures. New York: John Wiley & Sons, 2009
14 J Li, J B Chen. The principle of preservation of probability and the generalized density evolution equation. Structural Safety, 2008, 30(1): 65–77
https://doi.org/10.1016/j.strusafe.2006.08.001
15 J Li. 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 K M Hamdia, M A Msekh, M Silani, T Q Thai, P R Budarapu, T Rabczuk. Assessment of computational fracture models using Bayesian method. Engineering Fracture Mechanics, 2019, 205: 387–398
https://doi.org/10.1016/j.engfracmech.2018.09.019
17 J B Chen, Z Q Wan. 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
https://doi.org/10.1016/j.strusafe.2019.01.001
18 J B Chen, W L Sun, J Li, J Xu. Stochastic harmonic function representation of stochastic processes. Journal of Applied Mechanics, Transactions ASME, 2013, 80(1): 1–11
19 J B Chen, J R He, X D Ren, J Li. Stochastic harmonic function representation of random fields for material properties of structures. Journal of Engineering Mechanics, 2018, 144(7): 04018049
https://doi.org/10.1061/(ASCE)EM.1943-7889.0001469
20 Z D Ding, J Li. A physically motivated model for fatigue damage of concrete. International Journal of Damage Mechanics, 2018, 27(8): 1192–1212
21 J Xu. Stochastic dynamic stability analysis of structures and investigation of stability control. Dissertation for the Doctoral Degree. Shanghai: Tongji University, 2014 (in Chinese)
22 J Li, H Zhou, Y Q Ding. Stochastic seismic collapse and reliability assessment of high-rise reinforced concrete structures. Structural Design of Tall Building and Buildings, 2018, 27(2): e1417
23 J Li, J B Chen, W L Fan. The equivalent extreme-value event and evaluation of the structural system reliability. Structural Safety, 2007, 29(2): 112–131
https://doi.org/10.1016/j.strusafe.2006.03.002
24 H Q Miao, W Liu, J Li. 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
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed