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    Prediction for Rock Conditions in a Tunnel Area Using Advanced Geological Drilling Predictions Based on Multiwavelet Analysis and Modified Evidence Reasoning

    Source: International Journal of Geomechanics:;2024:;Volume ( 024 ):;issue: 004::page 04024027-1
    Author:
    Zhe Li
    ,
    Tong Liu
    ,
    Chenhui Guan
    ,
    Lulu Liu
    ,
    Meng Han
    DOI: 10.1061/IJGNAI.GMENG-8559
    Publisher: ASCE
    Abstract: Advanced geological prediction plays an essential role in disaster prevention and safety guarantee. In this paper, by combining multiwavelet analysis with modified evidence reasoning, a new geological prediction method for surrounding rock in a tunnel considering the parameters’ coupling effect was proposed. Based on the key drilling parameters’ curves that were denoised in the No. 1 hole of the Xiaochuan tunnel in Gansu Province, China, the coupling effect of these parameters were analyzed and the power–speed ratio (PSR) concept was thereby proposed to deal with the denoised curves and obtain a PSR curve. Through continuous wavelet transform (CWT) of the PSR curve, the lithology and structure were preliminarily determined by sectional matching and optimization of multiple wavelet coefficient curves under the optimal scales and PSR curve. Further, the evidence reasoning was introduced to solve the uncertainty parts in the preceding result. To avoid misjudgment caused by the limitation of Dempster Shafer (D-S) theory in the case of complete conflict, it was modified, in which the basic probability assignment (BPA) was determined by the interval number, and a binary group was then defined by combining the traditional conflict coefficient with pignistic probability distance to measure the degree of conflict. The division result that settled by this method showed greater accuracy than tunnel seismic prediction (TSP) and the drilling core, also could give a clear division for both lithology and structure. Importantly, by applying the established method to Chengzhou tunnel, the result fitted the real condition well. This approach provides references for rock prediction in tunnels.
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      Prediction for Rock Conditions in a Tunnel Area Using Advanced Geological Drilling Predictions Based on Multiwavelet Analysis and Modified Evidence Reasoning

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4297833
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    • International Journal of Geomechanics

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    contributor authorZhe Li
    contributor authorTong Liu
    contributor authorChenhui Guan
    contributor authorLulu Liu
    contributor authorMeng Han
    date accessioned2024-04-27T22:55:16Z
    date available2024-04-27T22:55:16Z
    date issued2024/04/01
    identifier other10.1061-IJGNAI.GMENG-8559.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297833
    description abstractAdvanced geological prediction plays an essential role in disaster prevention and safety guarantee. In this paper, by combining multiwavelet analysis with modified evidence reasoning, a new geological prediction method for surrounding rock in a tunnel considering the parameters’ coupling effect was proposed. Based on the key drilling parameters’ curves that were denoised in the No. 1 hole of the Xiaochuan tunnel in Gansu Province, China, the coupling effect of these parameters were analyzed and the power–speed ratio (PSR) concept was thereby proposed to deal with the denoised curves and obtain a PSR curve. Through continuous wavelet transform (CWT) of the PSR curve, the lithology and structure were preliminarily determined by sectional matching and optimization of multiple wavelet coefficient curves under the optimal scales and PSR curve. Further, the evidence reasoning was introduced to solve the uncertainty parts in the preceding result. To avoid misjudgment caused by the limitation of Dempster Shafer (D-S) theory in the case of complete conflict, it was modified, in which the basic probability assignment (BPA) was determined by the interval number, and a binary group was then defined by combining the traditional conflict coefficient with pignistic probability distance to measure the degree of conflict. The division result that settled by this method showed greater accuracy than tunnel seismic prediction (TSP) and the drilling core, also could give a clear division for both lithology and structure. Importantly, by applying the established method to Chengzhou tunnel, the result fitted the real condition well. This approach provides references for rock prediction in tunnels.
    publisherASCE
    titlePrediction for Rock Conditions in a Tunnel Area Using Advanced Geological Drilling Predictions Based on Multiwavelet Analysis and Modified Evidence Reasoning
    typeJournal Article
    journal volume24
    journal issue4
    journal titleInternational Journal of Geomechanics
    identifier doi10.1061/IJGNAI.GMENG-8559
    journal fristpage04024027-1
    journal lastpage04024027-19
    page19
    treeInternational Journal of Geomechanics:;2024:;Volume ( 024 ):;issue: 004
    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