Technical Papers
May 22, 2013

System Reliability Analysis of Flexible Pavements

Publication: Journal of Transportation Engineering
Volume 139, Issue 10

Abstract

The uncertainty in material properties and traffic characterization in the design of flexible pavements has led to significant efforts in recent years to incorporate reliability methods and probabilistic design procedures for the design, rehabilitation, and maintenance of pavements. In the mechanistic-empirical (ME) design of pavements, despite the fact that there are multiple failure modes, the design criteria applied in the majority of analytical pavement design methods guard only against fatigue cracking and subgrade rutting, which are usually considered as independent failure events. This study carries out the reliability analysis for a flexible pavement section for these failure criteria based on the first-order reliability method (FORM) and the second-order reliability method (SORM) techniques and the crude Monte Carlo simulation. Through a sensitivity analysis, the most critical parameter affecting the design reliability for both fatigue and rutting failure criteria was identified as the surface layer thickness. However, reliability analysis in pavement design is most useful if it can be efficiently and accurately applied to components of pavement design and the combination of these components in an overall system analysis. The study shows that for the pavement section considered, there is a high degree of dependence between the two failure modes, and demonstrates that the probability of simultaneous occurrence of failures can be almost as high as the probability of component failures. Thus, the need to consider the system reliability in the pavement analysis is highlighted, and the study indicates that the improvement of pavement performance should be tackled in the light of reducing this undesirable event of simultaneous failure and not merely the consideration of the more critical failure mode. Furthermore, this probability of simultaneous occurrence of failures is seen to increase considerably with small increments in the mean traffic loads, which also results in wider system reliability bounds. The study also advocates the use of narrow bounds to the probability of failure, which provides a better estimate of the probability of failure, as validated from the results obtained from Monte Carlo simulation (MCS).

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Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 10October 2013
Pages: 1001 - 1009

History

Received: Aug 8, 2012
Accepted: May 20, 2013
Published online: May 22, 2013
Published in print: Oct 1, 2013
Discussion open until: Oct 22, 2013

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Authors

Affiliations

Deepthi Mary Dilip [email protected]
Research Scholar, Dept. of Civil Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India. E-mail: [email protected]
Praveen Ravi
Research Assistant, Dept. of Civil Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India.
G. L. Sivakumar Babu [email protected]
M.ASCE
Professor, Dept. of Civil Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India (corresponding author). E-mail: [email protected]

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