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    Quantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 001::page 04024052-1
    Author:
    Xiao Wei
    ,
    Jijun Wang
    ,
    Chunzhong Xiao
    ,
    Qasim Zaheer
    ,
    Weidong Wang
    ,
    Xianhua Liu
    ,
    Jin Wang
    ,
    Shi Qiu
    DOI: 10.1061/JCCEE5.CPENG-6069
    Publisher: American Society of Civil Engineers
    Abstract: The control of initial support roughness is crucial to the structural waterproofing, durability, and safety of the drilling and blasting tunnel. The existing manual-based measurement methods and evaluation systems have many shortcomings in terms of efficiency, coverage, accuracy, and reliability, which make it difficult to achieve comprehensive measurement, precise quantification, and reliable evaluation of the initial support roughness. In view of this, this paper proposes a method for measuring the deviation of the initial support surface based on terrestrial laser scanning (TLS) technology, which achieves the automated measurement of the longitudinal and circumferential roughness characteristics of the initial support. Through the comparison experiment, it is demonstrated that the deviation measurement method proposed in the paper shows high accuracy, with an average error of 5.4 mm, which is much better than the current criteria and meets the measurement accuracy requirement of tunnel projects. On this basis, we propose a system for quantifying and evaluating the initial support roughness. This paper proposes indicators such as the root-mean square of the deviation (Drms), the skewness of the deviation (Dsk), and the kurtosis of the deviation (Dku) to quantify the roughness from three dimensions, such as the amplitude of the deviation, the degree of surface inclination, and the sharpness of the wave peaks, respectively, which significantly improves the accuracy, comprehensiveness, and richness of the roughness evaluation. Finally, a three-dimensional model of the initial support surface with a color-coded map was used to visualize the multidimensional roughness of the different inspection areas and to accurately locate areas of poor roughness level in the construction coordinate system. The aforementioned work is of great help in identifying, evaluating, locating, and treating initial support surface distresses.
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      Quantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4303780
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    contributor authorXiao Wei
    contributor authorJijun Wang
    contributor authorChunzhong Xiao
    contributor authorQasim Zaheer
    contributor authorWeidong Wang
    contributor authorXianhua Liu
    contributor authorJin Wang
    contributor authorShi Qiu
    date accessioned2025-04-20T09:59:10Z
    date available2025-04-20T09:59:10Z
    date copyright10/28/2024 12:00:00 AM
    date issued2025
    identifier otherJCCEE5.CPENG-6069.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303780
    description abstractThe control of initial support roughness is crucial to the structural waterproofing, durability, and safety of the drilling and blasting tunnel. The existing manual-based measurement methods and evaluation systems have many shortcomings in terms of efficiency, coverage, accuracy, and reliability, which make it difficult to achieve comprehensive measurement, precise quantification, and reliable evaluation of the initial support roughness. In view of this, this paper proposes a method for measuring the deviation of the initial support surface based on terrestrial laser scanning (TLS) technology, which achieves the automated measurement of the longitudinal and circumferential roughness characteristics of the initial support. Through the comparison experiment, it is demonstrated that the deviation measurement method proposed in the paper shows high accuracy, with an average error of 5.4 mm, which is much better than the current criteria and meets the measurement accuracy requirement of tunnel projects. On this basis, we propose a system for quantifying and evaluating the initial support roughness. This paper proposes indicators such as the root-mean square of the deviation (Drms), the skewness of the deviation (Dsk), and the kurtosis of the deviation (Dku) to quantify the roughness from three dimensions, such as the amplitude of the deviation, the degree of surface inclination, and the sharpness of the wave peaks, respectively, which significantly improves the accuracy, comprehensiveness, and richness of the roughness evaluation. Finally, a three-dimensional model of the initial support surface with a color-coded map was used to visualize the multidimensional roughness of the different inspection areas and to accurately locate areas of poor roughness level in the construction coordinate system. The aforementioned work is of great help in identifying, evaluating, locating, and treating initial support surface distresses.
    publisherAmerican Society of Civil Engineers
    titleQuantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning
    typeJournal Article
    journal volume39
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6069
    journal fristpage04024052-1
    journal lastpage04024052-17
    page17
    treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 001
    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