Evaluation of Probability Distribution Function for the Life of Pavement Structures

Author:

Romanoschi Stefan A.1,Metcalf John B.2

Affiliation:

1. Department of Civil Engineering, Kansas State University, 119 Seaton, Manhattan, KS 66506

2. Department of Civil Engineering, Louisiana State University, 3508A CEBA, Baton Rouge, LA 70803

Abstract

Determination of the probability distribution function for the time to failure is essential for the development of pavement life models, because the probability distribution function reflects the variability in pavement degradation. The pavement life and failure time are associated with the number of equivalent standard axle load applications for which the degradations reach a critical level. When the critical degradation level is reached, maintenance and rehabilitation work needs to be done to improve pavement condition. Research was undertaken to identify the appropriate statistical models for determination of the probability distribution function for the time to failure of pavement structures. The study used the rutting data collected on a test lane at the first full-scale accelerated pavement test in Louisiana. The research indicated that closed-form solutions or Monte Carlo algorithms can be used when the degradation models have a known form. The bootstrap algorithm can be used to determine the confidence intervals for probability of failure at a given time. If the form of the degradation model is not known, the survival analysis method based on censored observations must be used. The methods can be used not only for rutting life models but also for other pavement life models: cracking initiation time, cracking life, roughness, and serviceability lives.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference14 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Survival analysis;Data Analysis in Pavement Engineering;2024

2. Rebuilding the Distress Thresholds for Pavement Warranty Program in Mississippi;Transportation Research Record: Journal of the Transportation Research Board;2019-01-24

3. Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road);Engineering Applications of Computational Fluid Mechanics;2019-01-01

4. Effect of fine aggregate angularity on skid-resistance of asphalt pavement using accelerated pavement testing;Construction and Building Materials;2018-04

5. A study on volumetric versus surface properties of wearing courses;Construction and Building Materials;2013-01

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