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Identification of the governing parameters related to rock indentation depth by using similarity analysis
Luleå University of Technology.
Luleå tekniska universitet.
Luleå University of Technology.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
1998 (English)In: Engineering Geology, ISSN 0013-7952, E-ISSN 1872-6917, Vol. 49, no 3, p. 261-269Article in journal (Refereed) Published
Abstract [en]

This paper focuses on the indentation depth in rocks caused by a hemispherical indenter. The problem is approached by a combination of similarity methods with an artificial neural network. The similarity methods offer a profound understanding of the physical problem and help to identify the most important governing parameters or factors that reflect the essence of the rock indentation events, thus simplifying the target problem. The artificial neural network provides an advanced computing model, which allows more factors to be involved. The predictions obtained using this combined approach are in better agreement with the experimental results than predictions using other methods.

Place, publisher, year, edition, pages
1998. Vol. 49, no 3, p. 261-269
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-7536DOI: 10.1016/S0013-7952(97)00057-4ISI: 000073783800011Scopus ID: 2-s2.0-0032473793Local ID: 5ec95b20-c0f0-11db-834c-000ea68e967bOAI: oai:DiVA.org:ltu-7536DiVA, id: diva2:980426
Note
Godkänd; 1998; 20070220 (pafi)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Lindqvist, Per-Arne

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