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    Systematic Decision-Making Process for Composite Pavement Maintenance

    Source: Journal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 006
    Author:
    Yoon Soojin;Kang Kyubyung;Yoon Yoojung;Hastak Makarand;Ji Richard
    DOI: 10.1061/(ASCE)CO.1943-7862.0001447
    Publisher: American Society of Civil Engineers
    Abstract: The assessment of pavement condition rating (PCR) for hot mix asphalt (HMA) surfaces and exposed portland cement concrete (PCC) in composite pavements is an important component of the decision-making process for treating reflective cracking. Visual inspections such as PCR or falling weight deflectometer (FWD) have been conducted as current practices for reflective cracking treatment. However, these evaluation methods are not able to identify the severity of cracking in the underlying PCC slab. Furthermore, additional evaluation methods, such as coring tests, and milling operations could involve various types of costs including time delay costs, traffic control costs, and labor costs. Because of such extensive cost requirements, field engineers often tend to rely solely on visual inspection of the HMA surface without performing actual milling operations. Therefore a systematic decision-making process is needed to select appropriate maintenance treatments for reflective cracking in composite pavements. In response to this need, this research proposes a framework for composite pavement maintenance decision making that consists of three modules: (1) field evaluations to assess the condition of the pavement at the joint, (2) development of a PCC pavement condition prediction model to determine the severity of PCC cracking at the joint in a composite pavement, and (3) a treatment selection table to help determine a possible mitigation strategy for the treatment of each reflective crack type. A case study is conducted to validate the proposed prediction model, with the results showing .77 accuracy. Therefore the proposed systematic decision-making process is able to provide field engineers with a more accurate treatment selection process for reflective cracking in composite pavements than is currently available. Furthermore, the proposed process can reduce maintenance costs by simplifying field test evaluation methods and alleviating the need for milling the HMA surfaces.
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      Systematic Decision-Making Process for Composite Pavement Maintenance

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    contributor authorYoon Soojin;Kang Kyubyung;Yoon Yoojung;Hastak Makarand;Ji Richard
    date accessioned2019-02-26T07:55:31Z
    date available2019-02-26T07:55:31Z
    date issued2018
    identifier other%28ASCE%29CO.1943-7862.0001447.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250311
    description abstractThe assessment of pavement condition rating (PCR) for hot mix asphalt (HMA) surfaces and exposed portland cement concrete (PCC) in composite pavements is an important component of the decision-making process for treating reflective cracking. Visual inspections such as PCR or falling weight deflectometer (FWD) have been conducted as current practices for reflective cracking treatment. However, these evaluation methods are not able to identify the severity of cracking in the underlying PCC slab. Furthermore, additional evaluation methods, such as coring tests, and milling operations could involve various types of costs including time delay costs, traffic control costs, and labor costs. Because of such extensive cost requirements, field engineers often tend to rely solely on visual inspection of the HMA surface without performing actual milling operations. Therefore a systematic decision-making process is needed to select appropriate maintenance treatments for reflective cracking in composite pavements. In response to this need, this research proposes a framework for composite pavement maintenance decision making that consists of three modules: (1) field evaluations to assess the condition of the pavement at the joint, (2) development of a PCC pavement condition prediction model to determine the severity of PCC cracking at the joint in a composite pavement, and (3) a treatment selection table to help determine a possible mitigation strategy for the treatment of each reflective crack type. A case study is conducted to validate the proposed prediction model, with the results showing .77 accuracy. Therefore the proposed systematic decision-making process is able to provide field engineers with a more accurate treatment selection process for reflective cracking in composite pavements than is currently available. Furthermore, the proposed process can reduce maintenance costs by simplifying field test evaluation methods and alleviating the need for milling the HMA surfaces.
    publisherAmerican Society of Civil Engineers
    titleSystematic Decision-Making Process for Composite Pavement Maintenance
    typeJournal Paper
    journal volume144
    journal issue6
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001447
    page4018044
    treeJournal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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