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    Assessment of Intelligent Compaction Quality Evaluation Index and Uniformity

    Source: Journal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 002::page 04022024
    Author:
    Yuan Ma
    ,
    Yang Zhang
    ,
    Wei Zhao
    ,
    Ximao Ding
    ,
    Zhiwen Wang
    ,
    Tao Ma
    DOI: 10.1061/JPEODX.0000368
    Publisher: ASCE
    Abstract: Compaction Measurement Value (CMV) is the most widely used quality evaluation index for intelligent compaction. However, with the growth of compaction degree, CMV becomes less accurate due to increased reaction force from densified geomaterials. To solve this problem, this paper proposes a more accurate intelligent compaction quality evaluation index, acceleration intelligent compaction value (AICV). Based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy. Additionally, the singularities were detected by 3σ normal distribution in order to assess the uniformity of subgrade compaction quality. Based on the semivariogram analysis method of spatial statistics, CMV and AICV were analyzed for spatial correlation, and the influence range of intelligent compaction technology employed for subgrade was evaluated. The results from this study provide a basis for further research on precision control and uniformity analysis of intelligent compaction technology.
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      Assessment of Intelligent Compaction Quality Evaluation Index and Uniformity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4282803
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    contributor authorYuan Ma
    contributor authorYang Zhang
    contributor authorWei Zhao
    contributor authorXimao Ding
    contributor authorZhiwen Wang
    contributor authorTao Ma
    date accessioned2022-05-07T20:43:16Z
    date available2022-05-07T20:43:16Z
    date issued2022-03-21
    identifier otherJPEODX.0000368.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282803
    description abstractCompaction Measurement Value (CMV) is the most widely used quality evaluation index for intelligent compaction. However, with the growth of compaction degree, CMV becomes less accurate due to increased reaction force from densified geomaterials. To solve this problem, this paper proposes a more accurate intelligent compaction quality evaluation index, acceleration intelligent compaction value (AICV). Based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy. Additionally, the singularities were detected by 3σ normal distribution in order to assess the uniformity of subgrade compaction quality. Based on the semivariogram analysis method of spatial statistics, CMV and AICV were analyzed for spatial correlation, and the influence range of intelligent compaction technology employed for subgrade was evaluated. The results from this study provide a basis for further research on precision control and uniformity analysis of intelligent compaction technology.
    publisherASCE
    titleAssessment of Intelligent Compaction Quality Evaluation Index and Uniformity
    typeJournal Paper
    journal volume148
    journal issue2
    journal titleJournal of Transportation Engineering, Part B: Pavements
    identifier doi10.1061/JPEODX.0000368
    journal fristpage04022024
    journal lastpage04022024-10
    page10
    treeJournal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;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
    yabeshDSpacePersian