Experimental data of analogue models addressing the influence of crustal strength, tectonic inheritance and stretching/ shortening rates on crustal deformation and basin reactivation

Guillaume, Benjamin; Gianni, Guido; Kermarrec, Jean-Jacques; Bock, Khaled;

2022-07 || GFZ Data Services

This dataset includes video sequences and strain analysis of 12 analogue models studying crustal-scale deformation and basin reactivation, performed at the Laboratory of Tectonic modelling of the University of Rennes 1. These models show how parameters such as crustal strength, tectonic inheritance and boundary conditions (ishortening/ stretching) control both the distribution of crustal strain and the possibility for pre-existing structures to be reactivated. This dataset includes top-view movies of the 12 models, including strain analysis based on displacement vectors obtained from digital image correlation. Detailed descriptions of models can be found in Guillaume et al. (2022, special issue of Solid Earth on Analogue modelling of basin inversion) to which this dataset is supplementary.

Originally assigned keywords

Corresponding MSL vocabulary keywords

MSL enriched keywords

Originally assigned sub domains
  • analogue modelling of geologic processes
MSL enriched sub domains
  • analogue modelling of geologic processes
  • rock and melt physics
Source http://doi.org/10.5880/fidgeo.2022.011
Source publisher GFZ Data Services
DOI 10.5880/fidgeo.2022.011
License CC BY 4.0
Authors
  • Guillaume, Benjamin
  • 0000-0002-4260-3155
  • Université de Rennes, CNRS, Géosciences Rennes, Géosciences Rennes, Rennes, France
  • Gianni, Guido
  • 0000-0001-9036-0621
  • Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto Geofísico Sismológico Ing. Fernando Volponi (IGSV), Universidad Nacional de San Juan. San Juan, Argentina.
  • Kermarrec, Jean-Jacques
  • Université de Rennes, CNRS, Géosciences Rennes, Géosciences Rennes, Rennes, France
  • Bock, Khaled
  • Université de Rennes, CNRS, Géosciences Rennes, Géosciences Rennes, Rennes, France
References
  • Broerse, T., Krstekanić, N., Kasbergen, C., & Willingshofer, E. (2021). Mapping and classifying large deformation from digital imagery: application to analogue models of lithosphere deformation. Geophysical Journal International, 226(2), 984–1017. https://doi.org/10.1093/gji/ggab120
  • 10.1093/gji/ggab120
  • Cites
  • Thielicke, W., & Sonntag, R. (2021). Particle Image Velocimetry for MATLAB: Accuracy and enhanced algorithms in PIVlab. Journal of Open Research Software, 9(1), 12. https://doi.org/10.5334/jors.334
  • 10.5334/jors.334
  • Cites
Contact
  • Guillaume, Benjamin
  • Université de Rennes, CNRS, Géosciences Rennes, Géosciences Rennes, Rennes, France
  • benjamin.guillaume@univ-rennes1.fr
Citation Guillaume, B., Gianni, G., Kermarrec, J.-J., & Bock, K. (2022). Experimental data of analogue models addressing the influence of crustal strength, tectonic inheritance and stretching/ shortening rates on crustal deformation and basin reactivation [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2022.011