Ground characterization and roof mapping: Online sensor signal-based change detection

Soheil Bahrampour, Jamal Rostami, Asok Ray, Ali Naeimipour, Craig Collins

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    Measurement while drilling systems are becoming an important part of excavation operations for rock characterization and ground support design that require reliable information on rock strength and location & frequency of joints or voids. This paper focuses on improving rock characterization algorithms for instrumented roof-bolter systems. For this purpose, an improved void detection algorithm is proposed, where the underlying theory is built upon the concept of mean change detection based on the feed pressure signals. In addition, the application of acoustic sensing for void detection is examined and it is shown that the variance of the filtered acoustic signal is correlated to the strength of the material being drilled. The proposed algorithm has been validated on the data collected from full-scale drilling tests in various concrete and rock samples at the J. H. Fletcher facility.

    Original languageEnglish (US)
    Pages (from-to)905-913
    Number of pages9
    JournalInternational Journal of Mining Science and Technology
    Volume25
    Issue number6
    DOIs
    StatePublished - Nov 1 2015

    Fingerprint

    Roofs
    roof
    Rocks
    void
    sensor
    Sensors
    rock
    Drilling
    acoustics
    Acoustics
    drilling
    Ground supports
    Excavation
    excavation
    Concretes
    detection

    All Science Journal Classification (ASJC) codes

    • Geotechnical Engineering and Engineering Geology
    • Energy Engineering and Power Technology
    • Geochemistry and Petrology

    Cite this

    Bahrampour, Soheil ; Rostami, Jamal ; Ray, Asok ; Naeimipour, Ali ; Collins, Craig. / Ground characterization and roof mapping : Online sensor signal-based change detection. In: International Journal of Mining Science and Technology. 2015 ; Vol. 25, No. 6. pp. 905-913.
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    abstract = "Measurement while drilling systems are becoming an important part of excavation operations for rock characterization and ground support design that require reliable information on rock strength and location & frequency of joints or voids. This paper focuses on improving rock characterization algorithms for instrumented roof-bolter systems. For this purpose, an improved void detection algorithm is proposed, where the underlying theory is built upon the concept of mean change detection based on the feed pressure signals. In addition, the application of acoustic sensing for void detection is examined and it is shown that the variance of the filtered acoustic signal is correlated to the strength of the material being drilled. The proposed algorithm has been validated on the data collected from full-scale drilling tests in various concrete and rock samples at the J. H. Fletcher facility.",
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    Ground characterization and roof mapping : Online sensor signal-based change detection. / Bahrampour, Soheil; Rostami, Jamal; Ray, Asok; Naeimipour, Ali; Collins, Craig.

    In: International Journal of Mining Science and Technology, Vol. 25, No. 6, 01.11.2015, p. 905-913.

    Research output: Contribution to journalArticle

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    AU - Rostami, Jamal

    AU - Ray, Asok

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    AU - Collins, Craig

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