Tunnel Overbreak Management System Using Overbreak Resistance Factor
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When tunnel is excavated via drilling and blasting, the excessive overbreak is the primary cause of personal or equipment safety hazards and increasing the cost of the tunnel operation owing to additional ground supports such as shotcrete. The practical management of overbreak is extremely difficult due to the complex causative mechanism of it. The study examines the relationship between rock mass characteristics (unsupported face condition, uniaxial compressive strength, face weathering and alteration, discontinuities- frequency, condition and angle between discontinuities and tunnel contour) and the depth of overbreak through using feed-forward artificial neuron networks. Then, Overbreak Resistance Factor (ORF) has been developed based on the weights of rock mass parameters to the overbreak phenomenon. Also, a new concept of tunnel overbreak management system using ORF has been suggested.
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Jang, Hyong Doo ; Kawamura, Y.; Shinji, U. (2019)© 2019 Elsevier Ltd The assessment of overbreak is proposed by means of a novel empirical approach; the ‘overbreak resistance factor’ (ORF), to predict and manage the overbreak phenomenon in tunnel drill-and-blast operations. ...
Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural networkJang, Hyongdoo; Topal, Erkan (2013)Underground mining becomes more efficient due to the technological advancements of drilling & blasting methods and the developing of highly productive mining methods that facilitate easier access to ore. In the perspective ...
Using Artificial Neural Networks (ANNs) to Predict Stope Overbreak at Plutonic Underground Gold MineBoxwell, D.; Jang, H.; Topal, Erkan (2014)Drilling and blasting still remains the most cost-effective and widely used method for extracting ore in hard rock underground mine. A major consequence of drilling and blasting in mines is that of overbreak. While many ...