Designing Intelligent Rock Support Systems to Detect Gravity-Driven Wedges

Research output: Contribution to journalArticleResearchpeer-review

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Designing Intelligent Rock Support Systems to Detect Gravity-Driven Wedges. / Varelija, Michel; Hartlieb, Philipp.
In: Rock mechanics and rock engineering, Vol. ??? Stand: 2. Oktober 2024, No. ??? Stand: 2. Oktober 2024, 23.06.2024.

Research output: Contribution to journalArticleResearchpeer-review

Vancouver

Varelija M, Hartlieb P. Designing Intelligent Rock Support Systems to Detect Gravity-Driven Wedges. Rock mechanics and rock engineering. 2024 Jun 23;??? Stand: 2. Oktober 2024(??? Stand: 2. Oktober 2024). doi: 10.1007/s00603-024-04039-6

Bibtex - Download

@article{aa1a0664c113496792575504f1fb6cbb,
title = "Designing Intelligent Rock Support Systems to Detect Gravity-Driven Wedges",
abstract = "Intelligent rock bolts can be used in mining operations to acquire information on the bolt's status and movements of the rock mass. The future value of this technology resides in optimizing the support layout and increasing safety. The primary goal of this research is to investigate the sensor spatial distribution necessary for efficiently identifying roof wedges in mines. Roof wedges occur when three joints intersect over the roof, forming a triangular shape. They present a hazard by falling and causing damage. Sensor density refers to the number of sensors on a single rock bolt and the number of intelligent rock bolts in the mine or one section. Too many sensors drive costs up, and too few sensors compromise measurement quality. This research visualizes and investigates the results of the simulated models of intelligent rock bolts depending on the number of installed sensors and intelligent bolts to get a better understanding of the problem and describe the technique used, including numerical simulations and the considered parameters. Furthermore, it offers insight into the findings' possible implications, providing knowledge about the viability of using intelligent rock bolts.",
keywords = "Intelligent rock bolt, Sensor density, Numerical Modelling, Measurement, Numerical modelling, Roof wedge",
author = "Michel Varelija and Philipp Hartlieb",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = jun,
day = "23",
doi = "10.1007/s00603-024-04039-6",
language = "English",
volume = "??? Stand: 2. Oktober 2024",
journal = "Rock mechanics and rock engineering",
issn = "0723-2632",
publisher = "Springer Wien",
number = "??? Stand: 2. Oktober 2024",

}

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TY - JOUR

T1 - Designing Intelligent Rock Support Systems to Detect Gravity-Driven Wedges

AU - Varelija, Michel

AU - Hartlieb, Philipp

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/6/23

Y1 - 2024/6/23

N2 - Intelligent rock bolts can be used in mining operations to acquire information on the bolt's status and movements of the rock mass. The future value of this technology resides in optimizing the support layout and increasing safety. The primary goal of this research is to investigate the sensor spatial distribution necessary for efficiently identifying roof wedges in mines. Roof wedges occur when three joints intersect over the roof, forming a triangular shape. They present a hazard by falling and causing damage. Sensor density refers to the number of sensors on a single rock bolt and the number of intelligent rock bolts in the mine or one section. Too many sensors drive costs up, and too few sensors compromise measurement quality. This research visualizes and investigates the results of the simulated models of intelligent rock bolts depending on the number of installed sensors and intelligent bolts to get a better understanding of the problem and describe the technique used, including numerical simulations and the considered parameters. Furthermore, it offers insight into the findings' possible implications, providing knowledge about the viability of using intelligent rock bolts.

AB - Intelligent rock bolts can be used in mining operations to acquire information on the bolt's status and movements of the rock mass. The future value of this technology resides in optimizing the support layout and increasing safety. The primary goal of this research is to investigate the sensor spatial distribution necessary for efficiently identifying roof wedges in mines. Roof wedges occur when three joints intersect over the roof, forming a triangular shape. They present a hazard by falling and causing damage. Sensor density refers to the number of sensors on a single rock bolt and the number of intelligent rock bolts in the mine or one section. Too many sensors drive costs up, and too few sensors compromise measurement quality. This research visualizes and investigates the results of the simulated models of intelligent rock bolts depending on the number of installed sensors and intelligent bolts to get a better understanding of the problem and describe the technique used, including numerical simulations and the considered parameters. Furthermore, it offers insight into the findings' possible implications, providing knowledge about the viability of using intelligent rock bolts.

KW - Intelligent rock bolt

KW - Sensor density

KW - Numerical Modelling

KW - Measurement

KW - Numerical modelling

KW - Roof wedge

UR - http://www.scopus.com/inward/record.url?scp=85196617958&partnerID=8YFLogxK

U2 - 10.1007/s00603-024-04039-6

DO - 10.1007/s00603-024-04039-6

M3 - Article

VL - ??? Stand: 2. Oktober 2024

JO - Rock mechanics and rock engineering

JF - Rock mechanics and rock engineering

SN - 0723-2632

IS - ??? Stand: 2. Oktober 2024

ER -