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Rock Mechanics and Rock Engineering
Published in: Rock Mechanics and Rock Engineering 6/2009

01-12-2009 | Technical Note

Estimating Rock Cuttability using Regression Trees and Artificial Neural Networks

Author: Bulent Tiryaki

Published in: Rock Mechanics and Rock Engineering | Issue 6/2009

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Excerpt

Cuttability of rocks is one of the most significant parameters in mechanical excavation operations. It is determined in linear rock cutting tests using standard chisel picks on a rig. Rock cuttability is usually expressed by cutting specific energy (SE) consumed during rock cutting, which is defined as the energy required for cutting the unit volume of rock material. SE is known closely related to various intact rock properties, which is widely used to predict the performance of mechanical excavators (Fowell and Johnson 1982; Fowell and Pycroft 1980). …
previous article A Comparison of Different Indirect Techniques to Evaluate Volcanic Intact Rock Strength

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Literature
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Metadata
Title
Estimating Rock Cuttability using Regression Trees and Artificial Neural Networks
Author
Bulent Tiryaki
Publication date
01-12-2009
Publisher
Springer Vienna
Published in
Rock Mechanics and Rock Engineering / Issue 6/2009
Print ISSN: 0723-2632
Electronic ISSN: 1434-453X
DOI
https://doi.org/10.1007/s00603-008-0012-2

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