The distribution of faults and fractures and their importance in accommodating extensional strain at Kimmeridge Bay, Dorset, UK
The distribution of faults and fractures and their importance in accommodating extensional strain at Kimmeridge Bay, Dorset, UK
The spatial distribution of extensional strain in interbedded mudstones and carbonates from around Kimmeridge Bay in southern England is examined using a variety of line samples. Normal faults and tensile fractures (veins) from the same deformation event show displacements ranging over 6 orders of magnitude. The relative contribution of these structures to the overall extension varies, with large faults (>10 m heave) accommodating about 65%, smaller faults (1–10 m heave) about 25% and veins less than 10% of the overall extension. The heterogeneity of fracture density and strain can be quantified from cumulative plots by applying a non-parametric method based on Kuiper's test. Both the degree and statistical significance of strain heterogeneity can be determined and are shown to be scale-dependent. Thin veins accommodate a fairly constant background strain across the region, whilst thick veins and small faults take up localized higher strains in damage zones around larger faults. Fault-strain is relatively homogenously distributed across the region. The faults and veins do not share the same scaling relationship. Thus, this study shows that it is not possible to simply extrapolate fracture frequencies and strain from fault scale to vein scale, and that the heterogeneity of extensional strain is scale dependent.
97-111
Putz-Perrier, Martin W.
5ef33be9-5b6a-4935-8f86-4e91e1bed1f2
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9
2008
Putz-Perrier, Martin W.
5ef33be9-5b6a-4935-8f86-4e91e1bed1f2
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9
Putz-Perrier, Martin W. and Sanderson, David J.
(2008)
The distribution of faults and fractures and their importance in accommodating extensional strain at Kimmeridge Bay, Dorset, UK.
Geological Society, London, Special Publications, 299, .
(doi:10.1144/SP299.6).
Abstract
The spatial distribution of extensional strain in interbedded mudstones and carbonates from around Kimmeridge Bay in southern England is examined using a variety of line samples. Normal faults and tensile fractures (veins) from the same deformation event show displacements ranging over 6 orders of magnitude. The relative contribution of these structures to the overall extension varies, with large faults (>10 m heave) accommodating about 65%, smaller faults (1–10 m heave) about 25% and veins less than 10% of the overall extension. The heterogeneity of fracture density and strain can be quantified from cumulative plots by applying a non-parametric method based on Kuiper's test. Both the degree and statistical significance of strain heterogeneity can be determined and are shown to be scale-dependent. Thin veins accommodate a fairly constant background strain across the region, whilst thick veins and small faults take up localized higher strains in damage zones around larger faults. Fault-strain is relatively homogenously distributed across the region. The faults and veins do not share the same scaling relationship. Thus, this study shows that it is not possible to simply extrapolate fracture frequencies and strain from fault scale to vein scale, and that the heterogeneity of extensional strain is scale dependent.
Text
__userfiles.soton.ac.uk_Users_nl2_mydesktop_REF_files_74152SANDERSON15.pdf
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Published date: 2008
Organisations:
Civil Engineering & the Environment
Identifiers
Local EPrints ID: 74152
URI: http://eprints.soton.ac.uk/id/eprint/74152
ISSN: 0305-8719
PURE UUID: 638e349f-5283-4e02-a541-ac0230f44d8d
Catalogue record
Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 02:53
Export record
Altmetrics
Contributors
Author:
Martin W. Putz-Perrier
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics