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    Full-Lane Coverage Micromilling Pavement-Surface Quality Control Using Emerging 3D Line Laser Imaging Technology

    Source: Journal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 002
    Author:
    Yichang Tsai
    ,
    Yiching Wu
    ,
    Zachary Lewis
    DOI: 10.1061/(ASCE)TE.1943-5436.0000604
    Publisher: American Society of Civil Engineers
    Abstract: Facing pavement preservation challenges as a result of funding shortages, the Georgia Department of Transportation (GDOT) has developed an innovative micromilling resurfacing method to cost-effectively preserve its pavements. The cost saving is significant: approximately $60,000 per lane mile. To ensure that a smooth micromilled surface texture provides a good bond and water runoff capability, which is the key in this new method, a new, stringent ridge-to-valley-depth (RVD) specification has been established for quantitatively evaluating micromilled surface quality. This paper explores the possibility of using emerging three-dimensional (3D) line laser imaging technology to develop a full-lane quality control method that can measure RVD, provide quality control covering a full lane, and identify problem areas. A lab test was first conducted to critically assess the accuracy of the proposed method by using an artifact: a wood panel with V-shaped grooves of a known depth to simulate the ridges and valleys on a micromilled surface. Results show that the proposed method is very promising and can measure RVD with an error of less than 0.4 mm (0.016 in.). A field test was conducted by using Georgia Tech’s sensing vehicle to collect 3D range data at two 0.8-km (0.5-mi) segments on a micromilling resurfacing project on I-95. Results show that the RVDs in the transverse direction can effectively and quantitatively differentiate between smooth (mean
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      Full-Lane Coverage Micromilling Pavement-Surface Quality Control Using Emerging 3D Line Laser Imaging Technology

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    http://yetl.yabesh.ir/yetl1/handle/yetl/69635
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorYichang Tsai
    contributor authorYiching Wu
    contributor authorZachary Lewis
    date accessioned2017-05-08T22:02:36Z
    date available2017-05-08T22:02:36Z
    date copyrightFebruary 2014
    date issued2014
    identifier other%28asce%29up%2E1943-5444%2E0000017.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69635
    description abstractFacing pavement preservation challenges as a result of funding shortages, the Georgia Department of Transportation (GDOT) has developed an innovative micromilling resurfacing method to cost-effectively preserve its pavements. The cost saving is significant: approximately $60,000 per lane mile. To ensure that a smooth micromilled surface texture provides a good bond and water runoff capability, which is the key in this new method, a new, stringent ridge-to-valley-depth (RVD) specification has been established for quantitatively evaluating micromilled surface quality. This paper explores the possibility of using emerging three-dimensional (3D) line laser imaging technology to develop a full-lane quality control method that can measure RVD, provide quality control covering a full lane, and identify problem areas. A lab test was first conducted to critically assess the accuracy of the proposed method by using an artifact: a wood panel with V-shaped grooves of a known depth to simulate the ridges and valleys on a micromilled surface. Results show that the proposed method is very promising and can measure RVD with an error of less than 0.4 mm (0.016 in.). A field test was conducted by using Georgia Tech’s sensing vehicle to collect 3D range data at two 0.8-km (0.5-mi) segments on a micromilling resurfacing project on I-95. Results show that the RVDs in the transverse direction can effectively and quantitatively differentiate between smooth (mean
    publisherAmerican Society of Civil Engineers
    titleFull-Lane Coverage Micromilling Pavement-Surface Quality Control Using Emerging 3D Line Laser Imaging Technology
    typeJournal Paper
    journal volume140
    journal issue2
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000604
    treeJournal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 002
    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
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