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The analysis of finite strain using lines with an initial random orientation

The analysis of finite strain using lines with an initial random orientation
The analysis of finite strain using lines with an initial random orientation
The effect of homogeneous strain on random samples from an initially uniform distribution of lines in two dimensions is investigated. After doubling the data and treating each as a unit vector, the orientation and length of the resultant vector allows the orientation of the X-axis and the strain ratio to be estimated. The appropriate confidence limits of these estimates are evaluated. The method is illustrated using samples of weakly deformed desiccation cracks and a comparison with other methods of strain analysis made.

0040-1951
199-211
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9

Sanderson, David J. (1977) The analysis of finite strain using lines with an initial random orientation. Tectonophysics, 43 (3-4), 199-211. (doi:10.1016/0040-1951(77)90117-2).

Record type: Article

Abstract

The effect of homogeneous strain on random samples from an initially uniform distribution of lines in two dimensions is investigated. After doubling the data and treating each as a unit vector, the orientation and length of the resultant vector allows the orientation of the X-axis and the strain ratio to be estimated. The appropriate confidence limits of these estimates are evaluated. The method is illustrated using samples of weakly deformed desiccation cracks and a comparison with other methods of strain analysis made.

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More information

Published date: 10 December 1977

Identifiers

Local EPrints ID: 73803
URI: http://eprints.soton.ac.uk/id/eprint/73803
DOI: doi:10.1016/0040-1951(77)90117-2
ISSN: 0040-1951
PURE UUID: 3ae33fe7-e9cf-4d01-ac9f-f8627e077d34
ORCID for David J. Sanderson: ORCID iD orcid.org/0000-0002-2144-3527

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 02:53

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Author: David J. Sanderson ORCID iD

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