Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Reliability of methods to separate stress tensors from heterogeneous fault-slip data

Liesa, C. and Lisle, Richard John 2004. Reliability of methods to separate stress tensors from heterogeneous fault-slip data. Journal of Structural Geology 26 (3) , pp. 559-572. 10.1016/j.jsg.2003.08.010

Full text not available from this repository.

Abstract

The reliability of methods for separating palaeostress tensors from heterogeneous fault-slip data is evaluated. The methods of Etchecopar et al. (1981), Yamaji (2000), and the cluster procedure of Nemcok and Lisle (1995) are assessed but the results can probably be extrapolated to other methods based on similar assumptions. Heterogeneous fault-slip data sets, artificially generated by mixing two natural homogeneous data sets, have been used to evaluate both the role of the relative dominance (in number of faults taken from each tensor) and the difference between the parent tensors. The results obtained from a natural heterogeneous data set were compared with additional field data to evaluate and constrain the tensor separation process as well. Results suggest that attempts to devise a fully automatic separation procedure for distinguishing homogeneous data sets from heterogeneous ones will be unsuccessful because the researcher will always be required to take some part in the correct choice of the tensors. In this sense, additional structural data such as geometrical characteristics of the faults (e.g. conjugate or quasi-conjugate Andersonian systems), stylolites or tension gashes will be very useful for the correct separation of stress tensors from fault-slip data.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Ocean Sciences
Subjects: Q Science > QE Geology
Uncontrolled Keywords: Heterogeneous fault-slip data; Fault analysis; Stress tensor separation
Publisher: Elsevier
ISSN: 0191-8141
Last Modified: 04 Jun 2017 02:10
URI: http://orca-mwe.cf.ac.uk/id/eprint/10410

Citation Data

Cited 41 times in Google Scholar. View in Google Scholar

Cited 50 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item