Instrumentation during tunnel construction can be used as reference data to identify anomalies, find the causes, and develop countermeasures through data trend analysis in terms of the construction, maintenance, and management of tunnels. Therefore, obtaining reliable and accurate data is very important to prevent large accidents and minimize damage. However, measurement sensors used in the field often show abnormal data because of the noise caused by functional and environmental factors. Such data may be misinterpreted as actual data caused by accidents in the analysis process and lead to construction delays due to investigating the situation. Moreover, the accumulation of such data may also have negative effects on analyzing the trend of the entire measurement data. Therefore, this paper proposes data filter-based correction techniques to correct noisy measurement data so that it does not affect the trend of accumulated data. By applying data filters of various sizes through simulations, this paper also presents the appropriate data filter size by examining the performance by filter size and validates the data correction performance by applying the proposed techniques to accumulated actual data measured from a construction site.


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    Titel :

    Efficiency Analysis of Filter-Based Calibration Technique to Improve Tunnel Measurement Reliability


    Weitere Titelangaben:

    KSCE J Civ Eng


    Beteiligte:
    Choi, Sang-Il (Autor:in) / Shim, Seungbo (Autor:in) / Kong, Suk-Min (Autor:in) / Kim, Yeong Bae (Autor:in) / Lee, Seong-Won (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2022-06-01


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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