Complex strain partitioning patterns evaluated via triclinic transpression models. Kinematic analysis of the Valle de Abdalajís massif (Torcal shear zone, External Betics)
Complex strain partitioning patterns are very common in the continental crust. They are often related to the kinematics of three-dimensional deformations and hence, can be analysed using transpression models. In this work, the strain partitioning pattern of the Valle de Abdalajís massif is evaluated...
| Authors: | , , , , , |
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| Format: | article |
| Publication Date: | 2014 |
| Country: | España |
| Institution: | Universidad de Huelva (UHU) |
| Repository: | Arias Montano. Repositorio Institucional de la Universidad de Huelva |
| Language: | English |
| OAI Identifier: | oai:ariasmontano.uhu.es:10272/10630 |
| Online Access: | http://hdl.handle.net/10272/10630 |
| Access Level: | Open access |
| Keyword: | External Betics Numerical modelling Shear zone Strain partitioning Triclinic transpression Zonas externas béticas Modelización numérica Zona de cizalla Reparto de la deformación Transpresión triclínica |
| Summary: | Complex strain partitioning patterns are very common in the continental crust. They are often related to the kinematics of three-dimensional deformations and hence, can be analysed using transpression models. In this work, the strain partitioning pattern of the Valle de Abdalajís massif is evaluated with a model of triclinic transpression with oblique extrusion. Structures and kinematics are compared with the output of the model.We present preliminary results suggesting that the far-field vector responsible for bulk deformation at the studied area would be oriented NO75ºE-N144ºE, which is compatible with that of the neighbouring Torcal de Antequera massif. Bulk deformation affecting the Valle de Abdalajís massif was partitioned into strike-slip simple shear at the southern boundary and a triclinic transpressional component within the massif. Differences in strain partitioning pattern between these two massifs are unlikely related to flow partitioning |
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