Research on strength identification of rock-like materials based on measured drilling parameters

WANG Zhe; QIU Anbing; GONG Min; WU Haojun; HU Guangfeng; WANG Sijie; ZHOU Shijun

doi:10.19835/j.issn.1008-4495.2023.04.010

Mining Safety & Environmental Protection > 2023 > 50(4): 55-62. > DOI: 10.19835/j.issn.1008-4495.2023.04.010

WANG Zhe, QIU Anbing, GONG Min, WU Haojun, HU Guangfeng, WANG Sijie, ZHOU Shijun. Research on strength identification of rock-like materials based on measured drilling parameters[J]. Mining Safety & Environmental Protection, 2023, 50(4): 55-62. DOI: 10.19835/j.issn.1008-4495.2023.04.010

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Research on strength identification of rock-like materials based on measured drilling parameters

1.
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
2.
Chongqing Zhonghuan Construction Co., Ltd., Chongqing 401120, China

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Received Date: April 28, 2022
Revised Date: June 19, 2022
Available Online: August 30, 2023

Graphical Abstract

Abstract

Abstract

In order to establish the relationship between drilling parameters of rock drill and rock strength, and carry out research on rock strength identification, an automatic collection system of drilling parameters by truck was built. In the test, three kinds of strength concrete, C30, C40, and C50, were selected to simulate the rock of the same strength, and different drilling parameters were dynamically collected. Four SVM classification models were constructed based on the Support Vector Machine (SVM) algorithm. The drilling data was trained and learned, and the kernel function coefficient was modified by optimization algorithm. The model was optimized according to classification accuracy and evaluation indicators. The results show that the accuracy of SVM model based on polynomial kernel and Gaussian kernel function can reach 90%, which can effectively identify the strength of rock-like materials.
- rock strength,
- support vector machine,
- measure while drilling,
- drilling parameter acquisition,
- rock drill

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References (21)

References

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Research on strength identification of rock-like materials based on measured drilling parameters