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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50461

    Title: Development of Fatigue Cracking Prediction Models Using Long-Term Pavement Performance Database
    Authors: Ker, Hsiang-wei;李英豪;Lee, Ying-haur;Wu, Pei-hwa
    Contributors: 淡江大學土木工程學系
    Keywords: Cracking;Databases;Fatigue;Flexible pavements;Predictions
    Date: 2008-11
    Issue Date: 2010-08-09 17:58:09 (UTC+8)
    Publisher: Reston: American Society of Civil Engineers
    Abstract: This study strives to develop improved fatigue cracking models using the long-term pavement performance database. The prediction accuracy of the existing models was found to be inadequate. Several modern regression techniques including generalized linear model and generalized additive model along with the assumption of Poisson distribution and quasi-likelihood estimation method were adopted for the modeling process. After many trials in eliminating insignificant and inappropriate parameters, the resulting model included several variables such as yearly KESALs), pavement age, annual precipitation, annual temperature, critical tensile strain under the asphalt-concerete surface layer, and freeze-thaw cycle for the prediction of fatigue cracking. The proposed model appeared to have substantial improvements over the existing models although their further enhancements are possible and recommended.
    Relation: Journal of Transportation Engineering 134(11), pp.477-482
    DOI: 10.1061/(ASCE)0733-947X(2008)134:11(477)
    Appears in Collections:[土木工程學系暨研究所] 期刊論文

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