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    Pavement Deterioration Modeling and Network-Level Pavement Management Using Continuous Deflection Measurements

    Source: Journal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 003::page 04021022-1
    Author:
    Shivesh Shrestha
    ,
    Samer W. Katicha
    ,
    Gerardo W. Flintsch
    ,
    Brian K. Diefenderfer
    DOI: 10.1061/(ASCE)IS.1943-555X.0000626
    Publisher: ASCE
    Abstract: This paper shows that the pavement structural condition as measured by the traffic speed deflectometer (TSD) has an impact on the rate of deterioration of the surface condition on a 6,469-km (4,020-mi) subset of the Virginia Department of Transportation (VDOT) network. Because of this finding, a structural condition matrix was developed to augment the treatment selection process currently used by VDOT. The treatment categories considered by VDOT are do nothing (DN), preventive maintenance (PM), corrective maintenance (CM), restorative maintenance (RM), and reconstruction (RC). The augmented matrix modifies these treatments based on whether the structural condition is strong, fair, or weak. Applying the augmented matrix on the tested interstate network resulted in reducing the percentage of the network requiring CM and increasing the percentage requiring PM and RM. The percentage of the network requiring DN or RC remained practically the same. Initially, D0 (deflection measured under the applied load), SCI300 (surface curvature index), and SNeff (effective structural number) were investigated as possible structural condition parameters to use. Only the results obtained with SCI300 are shown because it was the parameter that best explained the change in the rate of deterioration as a function of structural condition.
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      Pavement Deterioration Modeling and Network-Level Pavement Management Using Continuous Deflection Measurements

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4269759
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    contributor authorShivesh Shrestha
    contributor authorSamer W. Katicha
    contributor authorGerardo W. Flintsch
    contributor authorBrian K. Diefenderfer
    date accessioned2022-01-31T23:27:43Z
    date available2022-01-31T23:27:43Z
    date issued9/1/2021
    identifier other%28ASCE%29IS.1943-555X.0000626.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269759
    description abstractThis paper shows that the pavement structural condition as measured by the traffic speed deflectometer (TSD) has an impact on the rate of deterioration of the surface condition on a 6,469-km (4,020-mi) subset of the Virginia Department of Transportation (VDOT) network. Because of this finding, a structural condition matrix was developed to augment the treatment selection process currently used by VDOT. The treatment categories considered by VDOT are do nothing (DN), preventive maintenance (PM), corrective maintenance (CM), restorative maintenance (RM), and reconstruction (RC). The augmented matrix modifies these treatments based on whether the structural condition is strong, fair, or weak. Applying the augmented matrix on the tested interstate network resulted in reducing the percentage of the network requiring CM and increasing the percentage requiring PM and RM. The percentage of the network requiring DN or RC remained practically the same. Initially, D0 (deflection measured under the applied load), SCI300 (surface curvature index), and SNeff (effective structural number) were investigated as possible structural condition parameters to use. Only the results obtained with SCI300 are shown because it was the parameter that best explained the change in the rate of deterioration as a function of structural condition.
    publisherASCE
    titlePavement Deterioration Modeling and Network-Level Pavement Management Using Continuous Deflection Measurements
    typeJournal Paper
    journal volume27
    journal issue3
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000626
    journal fristpage04021022-1
    journal lastpage04021022-11
    page11
    treeJournal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian