Options
Localisation of normal faults in multilayer sequences
Date Issued
2006-05
Date Available
2011-07-19T16:05:05Z
Abstract
Existing conceptual growth models for faults in layered sequences suggest that faults first localise in strong, and brittle, layers and are later linked in weak, and ductile, layers. We use the Discrete Element Method (DEM) for modelling the growth of a normal fault in a brittle/ductile multilayer sequence. The modelling reveals that faults in brittle/ductile sequences at low confining pressure and high strength contrast localise first as Mode I fractures in the brittle layers. Low amplitude monoclinal folding prior to failure is accommodated by ductile flow in the weak layers. The initially vertically segmented fault arrays are later linked via shallow dipping faults in the weak layers. Faults localise, therefore, as geometrically and kinematically coherent arrays of fault segments in which abandoned fault tips or splays are a product of the strain localisation process and do not necessarily indicate linkage of initially isolated faults. The modelling suggests that fault tip lines in layered sequences are more advanced in the strong layers compared to weak layers, where the difference in propagation distance is most likely related to strength and/or ductility contrast. Layer dependent variations in fault propagation rates generate fringed rather than smooth fault tip lines in multilayers.
Sponsorship
Not applicable
Other Sponsorship
Enterprise Ireland
Type of Material
Journal Article
Publisher
Elsevier
Journal
Journal of Structural Geology
Volume
28
Issue
5
Start Page
816
End Page
833
Copyright (Published Version)
2006 Elsevier Ltd.
Subject – LCSH
Faults (Geology)
Geological modeling
Strains and stresses
Web versions
Language
English
Status of Item
Peer reviewed
ISSN
0191-8141
This item is made available under a Creative Commons License
File(s)
Loading...
Name
Schopfer_et_al_JSG_2006_repository.pdf
Size
2.12 MB
Format
Adobe PDF
Checksum (MD5)
ab8d85683244cc8a11fdb866884fc92e
Owning collection