English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51931/87076 (60%)
Visitors : 8489676      Online Users : 169
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/90448

    Title: Prediction Models for Transverse Cracking of Jointed Concrete Pavements: Development with Long-Term Pavement Performance Database
    Authors: Ker, Hsiang-Wei;Lee, Ying-Haur;Lin, Chia-Huei
    Contributors: 淡江大學土木工程學系
    Date: 2008
    Issue Date: 2013-06-24 13:18:24 (UTC+8)
    Publisher: Washington: U.S. National Research Council * Transportation Research Board
    Abstract: The main objective of this study was to develop improved prediction models for transverse cracking of jointed concrete pavements with the Long-Term Pavement Performance database. The retrieval, preparation, and cleaning of the database were carefully handled with a systematic and automatic approach. The prediction accuracy of the existing prediction models implemented in the recommended Mechanistic–Empirical Pavement Design Guide (NCHRP Project 1-37A) was found to be inadequate. Exploratory data analysis indicated that the normality assumption with random errors and constant variance by using conventional regression techniques might not be appropriate for this study. Therefore, several modern regression techniques, including the generalized linear model and the generalized additive model, along with the assumption of Poisson distribution, were adopted for the modeling process. The resulting mechanistic–empirical model included several variables—such as pavement age, yearly equivalent single-axle loads (ESALs), accumulated ESALs, annual precipitation, freeze–thaw cycle, annual temperature range, stress ratio, and percent steel—for the prediction of transverse cracking. The goodness of fit was further examined through significant testing and various sensitivity analyses of pertinent explanatory parameters. The tentatively proposed predictive models appeared to agree reasonably with the pavement performance data, although their further enhancements are possible and recommended.
    Relation: Transportation Research Record: Journal of the Transportation Research Board 2068, pp.20-31
    DOI: 10.3141/2068-03
    Appears in Collections:[土木工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback