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Application of semi-automated strain analysis techniques and anisotropy of magnetic susceptibility in fold and thrust belts
McCarthy, Dave J.
Quantitative analysis of penetrative deformation in sedimentary rocks of fold and thrust belts has largely been carried out using clast based strain analysis techniques. These methods analyse the geometric deviations from an original state that populations of clasts, or strain markers, have undergone. The characterisation of these geometric changes, or strain, in the early stages of rock deformation is not entirely straight forward. This is in part due to the paucity of information on the original state of the strain markers, but also the uncertainty of the relative rheological properties of the strain markers and their matrix during deformation, as well as the interaction of two competing fabrics, such as bedding and cleavage. Furthermore one of the single largest setbacks for accurate strain analysis has been associated with the methods themselves, they are traditionally time consuming, labour intensive and results can vary between users. A suite of semi-automated techniques have been tested and found to work very well, but in low strain environments the problems discussed above persist. Additionally these techniques have been compared to Anisotropy of Magnetic Susceptibility (AMS) analyses, which is a particularly sensitive tool for the characterisation of low strain in sedimentary lithologies.
Keyword(s): Geology; Strain analysis; Sevier belt; Irish variscides; Anisotropy of magnetic susceptibility (AMS)
Publication Date:
2014
Type: Doctoral thesis
Peer-Reviewed: No
Language(s): English
Institution: University College Cork
Funder(s): Irish Research Council for Science Engineering and Technology
Citation(s): McCarthy, D. J. 2014. Application of semi-automated strain analysis techniques and anisotropy of magnetic susceptibility in fold and thrust belts. PhD Thesis, University College Cork.
Publisher(s): University College Cork
File Format(s): application/pdf
Supervisor(s): Meere, Patrick A.
Mulchrone, Kieran F.
First Indexed: 2015-09-17 05:30:08 Last Updated: 2016-10-14 05:49:34