Imperial College London
Alternate

ProfessorSevketDurucan

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Mining and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 7354s.durucan

 
 
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Location

 

1.36Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Cai:2019,
author = {Cai, W and Durucan, S and Shi, JQ and Cao, W and Agrawal, H and Korre, A and Jamnikar, S and Rošer, J},
publisher = {American Rock Mechanics Association},
title = {Development of fractal-fuzzy evaluation methodology and its application for seismic hazards assessment using microseismic monitoring in coal mining},
url = {http://hdl.handle.net/10044/1/74716},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Seismic hazards have become one of the common risks in underground coal mining and their assessment is an important component of the safety management. In this study, a methodology, involving nine fractal dimension-based indices and a fuzzy comprehensive evaluation model, has been developed based on the processed real time microseismic data from an underground coal mine, which allows for a better and quantitative evaluation of the likelihood for the seismic hazards. In the fuzzy model, the membership function was built using a Gaussian shape and the weight of each index was determined using the performance metric F score derived from the confusion matrix. The assessment results were initially characterised as a probability belonging to each of four risk levels (none, weak, moderate and strong). The comprehensive result was then evaluated by integrating the maximum membership degree principle (MMDP) and the variable fuzzy pattern recognition (VFPR). The model parameters of this methodology were first calibrated using historical microseismic data over a period of seven months at Coal Mine Velenje in Slovenia, and then applied to analyse more recent microseismic monitoring data. The results indicate that the calibrated model was able to assess seismic hazards in the mine.
AU  - Cai,W
AU  - Durucan,S
AU  - Shi,JQ
AU  - Cao,W
AU  - Agrawal,H
AU  - Korre,A
AU  - Jamnikar,S
AU  - Rošer,J
PB  - American Rock Mechanics Association
PY  - 2019///
TI  - Development of fractal-fuzzy evaluation methodology and its application for seismic hazards assessment using microseismic monitoring in coal mining
UR  - http://hdl.handle.net/10044/1/74716
ER  -
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