Navarro, Martin: Fault Roughness and Fault Complexity : Field Study, Multi-Scale Analysis and Numerical Fault Model. - Bonn, 2002. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-00822
@phdthesis{handle:20.500.11811/1817,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-00822,
author = {{Martin Navarro}},
title = {Fault Roughness and Fault Complexity : Field Study, Multi-Scale Analysis and Numerical Fault Model},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2002,
note = {We study the roughness of normal faults in lignite and its relevance to the complex process of faulting by means of field observations and a numerical model for wear at rough fault surfaces. Roughness data is collected at field scale for which only sparse information is available today. A multi-scale analysis of the data is used to scan for characteristic scales of processes.
Field investigations, multi-scale analysis, and numerical fault model draw a consistent picture of fault evolution. In a first stage, processes like coalescence of fractures and non-planar fault propagation form a rough fault. In the following stage, characteristic scales of damage are introduced by the offset of rough fault surfaces. The model shows that the geometrical aspects of fault roughness alone are able to produce non-trivial damage characteristics. Roughening and smoothening processes freely modify fault roughness perpendicular to slip direction. This process holds on as long as there is a permanent input of large-scale roughness during fault growth. The possible relevance of this structural self-organization for slip dynamics is discussed.
With respect to fault complexity, the observed processes introduce different mechanisms of scale coupling that unfold a multi-scale pattern of fault related structures. The spectrum of scales covered by the evolution of fault structures is both continuous and discontinuous depending on scale and location. The relevance of the findings for observing and modeling faulting processes are discussed.},

url = {http://hdl.handle.net/20.500.11811/1817}
}

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