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

7 Scopus citations

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 2015

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All Science Journal Classification (ASJC) codes

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

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