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Department of Geosciences, University of ArizonaIssue Date
2021-02
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Elsevier BVCitation
Connors, C. D., Hughes, A. N., & Ball, S. M. Forward kinematic modeling of fault-bend folding. Journal of Structural Geology, 143, 104252.Journal
Journal of Structural GeologyRights
© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We present a forward numerical modeling approach for fault-bend folding based on a velocity description of deformation. The approach incorporates algorithms capable of modeling multiple fault bends of different geometries (e. g. fault bends not stepping up from a detachment), imbricates, and variable velocity-boundary orientations, with corresponding varying slip ratios. When modeling contraction, the approach is capable of reproducing rounded-hinges and parallel folds with localized bed thinning or thickening commonly observed in natural structures. Extensional fault-bend folds can be modeled using the same set of equations, with the minor modification that velocity boundary orientations are defined independently of the fault shape. The modeled structures conserve area, and commonly observed features of extensional fault-bend folds, such as rollover structures with growth, are produced. Thus, we present a unified inclined-shear and flexural-slip general transformation associated with displacement over bends in faults, describing the theoretical framework which we have implemented in the associated program, fbfFor. We show the utility of this kinematic approach by matching seismic reflection examples, analog models, and mechanical models of fault-bend folds to create progressive, balanced kinematic interpretations and gain further insight into the formation of these structures. © 2020 The Author(s)Note
Open access articleISSN
0191-8141Version
Final published versionSponsors
Washington and Lee Universityae974a485f413a2113503eed53cd6c53
10.1016/j.jsg.2020.104252
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Except where otherwise noted, this item's license is described as © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.