Pavement Performance Prediction Model Based on Weibull Distribution

Author:

Peng Ting1,Wang Xiao Ling2,Chen Shuan Fa1

Affiliation:

1. Chang’an University

2. Xi’an Branch of the People’s Bank of China

Abstract

The Weibull distribution is an ideal model for failure analysis. In this work, it is applied to simulate pavement performance regression process. Then, pavement performance prediction model is constructed according to the Weibull distribution. Historical pavement performance data are used to evaluate the practical performance of the model. According to the experimental results, ideal performance is obtained. It provides more accurate results compared with the previous work.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

1. Ke-Zhen Yan and Zou Zhang. Research in analysis of asphalt pavement performance evaluation based on pso-svm. volume 97-98, pages 203 – 207, Jinan, China, (2011).

2. Erpeng Du, Songlin Ma, and Haimin Jing. Asphalt pavement performance prediction model based on gray system theory. Tongji Daxue Xuebao/Journal of Tongji University, 38(8): 1161 – 1164, (2010).

3. Nang-Fei Pan, Chien-Ho Ko, Ming-Der Yang, and Kai-Chun Hsu. Pavement performance prediction through fuzzy regression. Expert Systems with Applications, 38(8): 10010 – 10017, (2011).

4. Jianhua Li, David R. Luhr, and Jeff S. Uhlmeyer. Pavement performance modeling using piecewise approximation. Transportation Research Record, (2153): 24 – 29, (2010).

5. Lijun Sun and Xueping Liu. General deterioration equation for pavement performance. Journal of Tongji University, 23(5): 512–518, (1995).

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