Development of fractal-fuzzy evaluation methodology and its application for seismic hazards assessment using microseismic monitoring in coal mining
File(s)
Published version
Author(s)
Type
Conference Paper
Abstract
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.
Date Issued
2019-06-23
Date Acceptance
2019-06-23
Citation
53rd U.S. Rock Mechanics/Geomechanics Symposium, 2019, 1570
Publisher
American Rock Mechanics Association
Journal / Book Title
53rd U.S. Rock Mechanics/Geomechanics Symposium
Volume
1570
Copyright Statement
© 2019. American Rock Mechanics Association.
Sponsor
Commission of the European Communities
Commission of the European Communities
Grant Number
RFCR-CT-2010-00002
FRCR-CT-2015-00005
Source
53rd U.S. Rock Mechanics/Geomechanics Symposium
Publication Status
Published
Start Date
2019-06-23
Finish Date
2019-06-26
Coverage Spatial
New York, USA