Digital image correlation data from analogue modelling experiments addressing magma emplacement along simple shear and transtensional fault zones

Michail, Maria; Rudolf, Michael; Rosenau, Matthias; Riva, Alberto; Gianolla, Piero; Coltorti, Massimo;

2021-07 || GFZ Data Services

This data set includes the results of digital image correlation analysis applied to nine experiments (Table 1) on magma-tectonic interaction performed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam in the framework of EPOS transnational access activities in 2017. The models use silicone oil (PDMS G30M, Rudolf et al., 2016) and Quartz sand (G12, Rosenau et al., 2018) to simulate pre-, syn- and post-tectonic intrusion of granitic magma into upper crustal shear zones of simple shear and transtensional (15° obliquity) kinematics. Three reference experiments (simple shear, transtension, intrusion) are also reported.

Detailed descriptions of the experiments can be found in Michail et al. (submitted) to which this data set is supplement. The models have been monitored by means of digital image correlation (DIC) analysis including Particle Image Velocimetry (PIV; Adam et al., 2005) and Structure from Motion photogrammetry (SfM; Donnadieu et al., 2003; Westoby et al., 2012). DIC analysis yields quantitative model surface deformation information by means of 3D surface topography and displacements from which surface strain has been calculated. The data presented here are visualized as surface deformation maps and movies, as well as digital elevation and intrusion models. The results of a shape analysis of the model plutons is provided, too.

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/GFZ.4.1.2021.004
Source publisher GFZ Data Services
DOI 10.5880/GFZ.4.1.2021.004
License CC BY 4.0
Authors
  • Michail, Maria
  • University of Ferrara, Department of Physics and Earth Sciences, Via Saragat 1, 44122 Ferrara, Italy
  • Rudolf, Michael
  • 0000-0002-5077-5221
  • GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Rosenau, Matthias
  • 0000-0003-1134-5381
  • GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Riva, Alberto
  • GEPlan Consulting s.r.l., Via Ariosto 58, 44121, Ferrara, Italy
  • Gianolla, Piero
  • 0000-0001-7683-2880
  • University of Ferrara, Department of Physics and Earth Sciences, Via Saragat 1, 44122 Ferrara, Italy
  • Coltorti, Massimo
  • 0000-0002-7481-8097
  • University of Ferrara, Department of Physics and Earth Sciences, Via Saragat 1, 44122 Ferrara, Italy
References
  • Michail, M., Rudolf, M., Rosenau, M., Riva, A., Gianolla, P., & Coltorti, M. (2021). Shape of plutons in crustal shear zones: A tectono-magmatic guide based on analogue models. Journal of Structural Geology, 150, 104417. https://doi.org/10.1016/j.jsg.2021.104417
  • 10.1016/j.jsg.2021.104417
  • IsSupplementTo
  • Adam, J., Urai, J. L., Wieneke, B., Oncken, O., Pfeiffer, K., Kukowski, N., Lohrmann, J., Hoth, S., van der Zee, W., & Schmatz, J. (2005). Shear localisation and strain distribution during tectonic faulting—new insights from granular-flow experiments and high-resolution optical image correlation techniques. Journal of Structural Geology, 27(2), 283–301. https://doi.org/10.1016/j.jsg.2004.08.008
  • 10.1016/j.jsg.2004.08.008
  • References
  • Donnadieu, F., Kelfoun, K., van Wyk de Vries, B., Cecchi, E., & Merle, O. (2003). Digital photogrammetry as a tool in analogue modelling: applications to volcano instability. Journal of Volcanology and Geothermal Research, 123(1–2), 161–180. https://doi.org/10.1016/s0377-0273(03)00034-9
  • 10.1016/S0377-0273(03)00034-9
  • References
  • References
  • van der Walt, S., Schönberger, J. L., Nunez-Iglesias, J., Boulogne, F., Warner, J. D., Yager, N., Gouillart, E., & Yu, T. (2014). scikit-image: image processing in Python. PeerJ, 2, e453. https://doi.org/10.7717/peerj.453
  • 10.7717/peerj.453
  • References
  • Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., & Reynolds, J. M. (2012). ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, 300–314. https://doi.org/10.1016/j.geomorph.2012.08.021
  • 10.1016/j.geomorph.2012.08.021
  • References
Contact
  • Rosenau, Matthias
  • GFZ German Research Centre for Geosciences, Potsdam, Germany
  • rosen@gfz-potsdam.de
Citation Michail, M., Rudolf, M., Rosenau, M., Riva, A., Gianolla, P., & Coltorti, M. (2021). Digital image correlation data from analogue modelling experiments addressing magma emplacement along simple shear and transtensional fault zones [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.4.1.2021.004