Empirical modeling of pavement overlay crack progression with field data

Samer Madanat, Ziad Nakat, Eui Jae Jin

    Research output: Contribution to journalArticle

    Abstract

    We present the development of an empirical pavement overlay crack progression model using condition survey data for the highway system in the state of Washington. The crack progression model uses random-effect panel data regression techniques, with correction for incidental truncation, endogeneity bias, and unobserved heterogeneity. The parameter estimation results show that existing cracking prior to the overlay, traffic loading, overlay thickness and materials, and some environmental factors play important roles in explaining crack progression. The model developed in this paper is used jointly with a probabilistic model of overlay crack initiation as inputs to a Monte Carlo simulation of overlay cracking trends over time. These trends are realistic for overlays in the estimation database, but caution should be used when applying the model to other states. Specifically, it should only be used in situations where the maintenance policy used is similar to that used by the Washington DOT.

    Original languageEnglish (US)
    Pages (from-to)292-298
    Number of pages7
    JournalJournal of Infrastructure Systems
    Volume16
    Issue number4
    DOIs
    StatePublished - Nov 1 2010

    Fingerprint

    Pavement overlays
    Cracks
    Highway systems
    Crack initiation
    Parameter estimation

    Keywords

    • Cracking
    • Maintenance
    • Pavement overlays
    • Regression models

    ASJC Scopus subject areas

    • Civil and Structural Engineering

    Cite this

    Empirical modeling of pavement overlay crack progression with field data. / Madanat, Samer; Nakat, Ziad; Jin, Eui Jae.

    In: Journal of Infrastructure Systems, Vol. 16, No. 4, 01.11.2010, p. 292-298.

    Research output: Contribution to journalArticle

    Madanat, Samer ; Nakat, Ziad ; Jin, Eui Jae. / Empirical modeling of pavement overlay crack progression with field data. In: Journal of Infrastructure Systems. 2010 ; Vol. 16, No. 4. pp. 292-298.
    @article{cf064431bc124e03bad203efbe65de5b,
    title = "Empirical modeling of pavement overlay crack progression with field data",
    abstract = "We present the development of an empirical pavement overlay crack progression model using condition survey data for the highway system in the state of Washington. The crack progression model uses random-effect panel data regression techniques, with correction for incidental truncation, endogeneity bias, and unobserved heterogeneity. The parameter estimation results show that existing cracking prior to the overlay, traffic loading, overlay thickness and materials, and some environmental factors play important roles in explaining crack progression. The model developed in this paper is used jointly with a probabilistic model of overlay crack initiation as inputs to a Monte Carlo simulation of overlay cracking trends over time. These trends are realistic for overlays in the estimation database, but caution should be used when applying the model to other states. Specifically, it should only be used in situations where the maintenance policy used is similar to that used by the Washington DOT.",
    keywords = "Cracking, Maintenance, Pavement overlays, Regression models",
    author = "Samer Madanat and Ziad Nakat and Jin, {Eui Jae}",
    year = "2010",
    month = "11",
    day = "1",
    doi = "10.1061/(ASCE)IS.1943-555X.0000034",
    language = "English (US)",
    volume = "16",
    pages = "292--298",
    journal = "Journal of Infrastructure Systems",
    issn = "1076-0342",
    publisher = "American Society of Civil Engineers (ASCE)",
    number = "4",

    }

    TY - JOUR

    T1 - Empirical modeling of pavement overlay crack progression with field data

    AU - Madanat, Samer

    AU - Nakat, Ziad

    AU - Jin, Eui Jae

    PY - 2010/11/1

    Y1 - 2010/11/1

    N2 - We present the development of an empirical pavement overlay crack progression model using condition survey data for the highway system in the state of Washington. The crack progression model uses random-effect panel data regression techniques, with correction for incidental truncation, endogeneity bias, and unobserved heterogeneity. The parameter estimation results show that existing cracking prior to the overlay, traffic loading, overlay thickness and materials, and some environmental factors play important roles in explaining crack progression. The model developed in this paper is used jointly with a probabilistic model of overlay crack initiation as inputs to a Monte Carlo simulation of overlay cracking trends over time. These trends are realistic for overlays in the estimation database, but caution should be used when applying the model to other states. Specifically, it should only be used in situations where the maintenance policy used is similar to that used by the Washington DOT.

    AB - We present the development of an empirical pavement overlay crack progression model using condition survey data for the highway system in the state of Washington. The crack progression model uses random-effect panel data regression techniques, with correction for incidental truncation, endogeneity bias, and unobserved heterogeneity. The parameter estimation results show that existing cracking prior to the overlay, traffic loading, overlay thickness and materials, and some environmental factors play important roles in explaining crack progression. The model developed in this paper is used jointly with a probabilistic model of overlay crack initiation as inputs to a Monte Carlo simulation of overlay cracking trends over time. These trends are realistic for overlays in the estimation database, but caution should be used when applying the model to other states. Specifically, it should only be used in situations where the maintenance policy used is similar to that used by the Washington DOT.

    KW - Cracking

    KW - Maintenance

    KW - Pavement overlays

    KW - Regression models

    UR - http://www.scopus.com/inward/record.url?scp=78449259975&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=78449259975&partnerID=8YFLogxK

    U2 - 10.1061/(ASCE)IS.1943-555X.0000034

    DO - 10.1061/(ASCE)IS.1943-555X.0000034

    M3 - Article

    VL - 16

    SP - 292

    EP - 298

    JO - Journal of Infrastructure Systems

    JF - Journal of Infrastructure Systems

    SN - 1076-0342

    IS - 4

    ER -