A decomposition algorithm for network reliability analysis

Networks ◽  
1978 ◽  
Vol 8 (3) ◽  
pp. 231-251 ◽  
Author(s):  
A. W. Shogan
Keyword(s):  
Reliability Analysis ◽  
Network Reliability ◽  
Decomposition Algorithm

Reliability Analysis of Minnesota’s Unbonded Concrete Overlay Performance

2020 ◽  
Vol 2674 (9) ◽  
pp. 617-626
Author(s):  
Bernard Igbafen Izevbekhai ◽  
Norma Farah ◽  
Glenn M. Engstrom
Keyword(s):  
Service Life ◽  
Reliability Analysis ◽  
Network Reliability ◽  
Location Parameter ◽  
Pavement Management ◽  
Time To Failure ◽  
Weibull Analysis ◽  
Explanatory Variables ◽  
Current Decay ◽  
Threshold Time

Minnesota Department of Transportation (MnDOT) has studied pavement performance associated with various interventions in the road network. In this study, unbonded overlay, a major concrete pavement intervention known for its long service life, was examined. Curve fitting was performed, including a comparison of the current decay curves with previous patterns toward a default performance curve, stepwise regression to identify performance variables associated with and predictive of remaining service life (RSL), and reliability (Weibull) analysis to examine the reliability and other performance characteristics of unbonded overlay in the Minnesota network. Reliability analysis resulted in a RSL (scale parameter) of 36 years, which was reasonably consistent with the 35.5 year RSL derived from the MnDOT Highway Pavement Management Analysis (HPMA). It also provided evidence that the unbonded overlay displays an end-of-life failure pattern as well as a 7-year threshold time to failure (location parameter). MnDOT’s sigmoidal decay model predicted the same expected service life (35.5 years) as did the Weibull analysis process (35.8 years). Stepwise linear regression showed a positive correlation between the time from the most recent rehabilitation (TTR_MR) and RSL. The other explanatory variables including RQI_Spike and time from original construction to intervention (TTR) were found to be non-significant in the prediction of RSL.

Network reliability analysis: Part I

Networks ◽  
1971 ◽  
Vol 1 (3) ◽  
pp. 279-290 ◽  
Author(s):  
R. Van Slyke ◽  
H. Frank
Keyword(s):  
Reliability Analysis ◽  
Network Reliability

Network System Reliability and Unit Probability Importance Based on Monte Carlo Method

2014 ◽  
Vol 1049-1050 ◽  
pp. 1458-1462
Author(s):  
Rao Bin
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Network Reliability ◽  
Approximate Algorithm ◽  
Network System ◽  
Reliability Design ◽  
Precise Calculation ◽  
Improve Calculation ◽  
Factor Decomposition ◽  
State Enumeration

The network system reliability research contains a number of problems, such as: Reliability analysis and reliability design, reliability, maintenance and a lot of problems so on. The calculation of reliability of the network is the important area of network reliability analysis, State enumeration method and principle of a class, don't pay the product and method, the factor decomposition method is a classic accurate algorithm of computing network reliability. Due to the difficulty of precise calculation, in the method, appeared and bound method, Monte carol method, the reliability of the approximate algorithm. Compared with the accurate algorithm, approximate algorithm is still under development. So far, no recognized classic algorithms, so the method to improve calculation accuracy, reduce the complexity of the target of the researchers.

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