NDLI: Classification of Stability of Highwall During Highwall Mining: A Statistical Adaptive Learning Approach

Content Provider	Springer Nature Link
Author	Ram Chandar, K. Hegde, Chiranth Yellishetty, Mohan Gowtham Kumar, B.
Copyright Year	2014
Abstract	The depleting coal deposits day by day required the introduction of novel methods of mining like highwall mining. Highwall mining is a method of extraction of coal blocked in the highwall. The method involves considerable challenges in the area of roof control and most importantly the stability of the highwall itself. Highwall mining has gained considerable importance all over the world, owing to the fact that the coal otherwise would not be extracted forever. This paper aims to assess the influence of varying conditions which can affect the stability of the highwall during highwall mining. The effect of gallery length, width of pillar and number of galleries are systematically studied through field investigations where a highwall mining was adopted first time in India. Initially, assessment was carried out using a numerical modelling approach and then the stability of the highwall is classified using multilinear regression, logistic regression and naive Bayes classifier. This will provide a mechanism to predict the stability of the highwall in future cases of similar conditions. The classification is done using statistical adaptive learning methods and a comparison of the methods is done.
Starting Page	511
Ending Page	521
Page Count	11
File Format	PDF
ISSN	09603182
Journal	Geotechnical and Geological Engineering
Volume Number	33
Issue Number	3
e-ISSN	15731529
Language	English
Publisher	Springer International Publishing
Publisher Date	2014-11-28
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Highwall mining Highwall stability Logistic regression Numerical modelling Geotechnical Engineering & Applied Earth Sciences Hydrogeology Terrestrial Pollution Waste Management/Waste Technology Civil Engineering
Content Type	Text
Resource Type	Article
Subject	Soil Science Geology Architecture Geotechnical Engineering and Engineering Geology

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