|
|
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 |
|
|
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
|
Corresponding Author(s):
Jie LI
|
Just Accepted Date: 28 July 2020
Online First Date: 09 September 2020
Issue Date: 16 November 2020
|
|
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 |
|
|
|
|