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Data Publication

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

GFZ Data Services

(2021)

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.

Keywords


Originally assigned keywords
EPOS
multiscale laboratories
analogue models of geologic processes
software tools
shearing
intrusion
transform faulting
StrainMaster La Vision GmbH
Metashape
Photoscan Agisoft
dike
pluton
wrench fault
upper continental crustal setting
intraplate tectonic setting
TECTONICS
Fluid injector
Sandbox cm scale
Shear box
Quartz Sand
SiliconSilly puttyPDMS
SLR camera
Time lapse camera
Surface image
tectonic and structural features
volcanic features

Corresponding MSL vocabulary keywords
StrainMaster (La Vision GmbH)
dike
pluton
wrench fault
upper crust
intraplate setting
tectonic plate boundary
shear box
camera
model surface monitoring (2D)

MSL enriched keywords
Software
digital image correlation (DIC)
StrainMaster (La Vision GmbH)
Modeled geomorphological feature
volcanic landforms
dike
Modeled structure
modelled magmatic structure
pluton
tectonic deformation structure
tectonic fault
wrench fault
Earth's structure
Earth crust
upper crust
intraplate setting
tectonic plate boundary
Apparatus
analogue modelling
deformation experiments
shear box
Ancillary equipment
model surface monitoring (2D)
camera
igneous rock - intrusive
magma
acidic intrusive
granite
minerals
silicate minerals
tectosilicates
quartz
unconsolidated sediment
clastic sediment
sand
analogue modelling material
viscous modelling material
synthetic viscous material
silicone
silicone oil
Measured property
strain
photogrammetry
Measured property
strain
particle image velocimetry (PIV)
structure from motion (SfM)

MSL original sub domains

analogue modelling of geologic processes

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics


Source publisher

GFZ Data Services


DOI

10.5880/GFZ.4.1.2021.004


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

rosen@gfz-potsdam.de

GFZ German Research Centre for Geosciences, Potsdam, Germany


Citiation

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