A database of R-R-R triple junction analogue and numerical models

Maestrelli, Daniele; Risaliti, Giacomo; Brune, Sascha; Corti, Giacomo; Keir, Derek; Sani, Federico;

2022-09 || GFZ Data Services

This dataset presents the raw data from two experimental series of analogue models and four numerical models performed to investigate Rift-Rift-Rift triple junction dynamics, supporting the modelling results described in the submitted paper. Numerical models were run in order to support the outcomes obtained from the analogue models. Our experimental series tested the case of a totally symmetric RRR junction (with rift branch angles trending at 120° and direction of stretching similarly trending at 120°; SY Series) or a less symmetric triple junction (with rift branches trending at 120° but with one of these experiencing orthogonal extension; OR Series), and testing the role of a single or two phases of extension coupled with effect of differential velocities between the three moving plates. An overview of the performed analogue and numerical models is provided in Table 1. Analogue models have been analysed quantitatively by means of photogrammetric reconstruction of Digital Elevation Model (DEM) used for 3D quantification of the deformation, and top-view photo analysis for qualitative descriptions. The analogue materials used in the setup of these models are described in Montanari et al. (2017), Del Ventisette et al. (2019) and Maestrelli et al. (2020). Numerical models were run with the finite element software ASPECT (e.g., Kronbichler et al., 2012; Heister et al., 2017; Rose et al., 2017).

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.2022.027
Source publisher GFZ Data Services
DOI 10.5880/fidgeo.2022.027
License CC BY 4.0
Authors
  • Maestrelli, Daniele
  • 0000-0002-3527-2394
  • CNR-IGG, Consiglio Nazionale delle Ricerche, Istituto di Geoscienze e Georisorse, Firenze, Italy
  • Risaliti, Giacomo
  • Dipartimento di Scienze della Terra, Università di Firenze, Firenze, Italy
  • Brune, Sascha
  • 0000-0003-4985-1810
  • GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Corti, Giacomo
  • 0000-0001-7399-4438
  • CNR-IGG, Consiglio Nazionale delle Ricerche, Istituto di Geoscienze e Georisorse, Firenze, Italy
  • Keir, Derek
  • 0000-0001-8787-8446
  • Dipartimento di Scienze della Terra, Università di Firenze, Firenze, Italy
  • Sani, Federico
  • 0000-0001-8832-1471
  • CNR-IGG, Consiglio Nazionale delle Ricerche, Istituto di Geoscienze e Georisorse, Firenze, Italy
References
  • Maestrelli, D., Brune, S., Corti, G., Keir, D., Muluneh, A. A., & Sani, F. (2022). Analog and Numerical Modeling of Rift‐Rift‐Rift Triple Junctions. Tectonics, 41(10). Portico. https://doi.org/10.1029/2022tc007491
  • 10.1029/2022TC007491
  • IsSupplementTo
  • Del Ventisette, C., Bonini, M., Agostini, A., Corti, G., Maestrelli, D., & Montanari, D. (2019). Using different grain-size granular mixtures (quartz and K-feldspar sand) in analogue extensional models. Journal of Structural Geology, 129, 103888. https://doi.org/10.1016/j.jsg.2019.103888
  • 10.1016/j.jsg.2019.103888
  • Cites
  • 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
  • Cites
  • Heister, T., Dannberg, J., Gassmöller, R., & Bangerth, W. (2017). High accuracy mantle convection simulation through modern numerical methods – II: realistic models and problems. Geophysical Journal International, 210(2), 833–851. https://doi.org/10.1093/gji/ggx195
  • 10.1093/gji/ggx195
  • Cites
  • Kronbichler, M., Heister, T., & Bangerth, W. (2012). High accuracy mantle convection simulation through modern numerical methods. Geophysical Journal International, 191(1), 12–29. https://doi.org/10.1111/j.1365-246x.2012.05609.x
  • 10.1111/j.1365-246X.2012.05609.x
  • Cites
  • Maestrelli, D., Montanari, D., Corti, G., Del Ventisette, C., Moratti, G., & Bonini, M. (2020). Exploring the Interactions Between Rift Propagation and Inherited Crustal Fabrics Through Experimental Modeling. Tectonics, 39(12). Portico. https://doi.org/10.1029/2020tc006211
  • 10.1029/2020TC006211
  • Cites
  • Montanari, D., Agostini, A., Bonini, M., Corti, G., & Ventisette, C. (2017). The Use of Empirical Methods for Testing Granular Materials in Analogue Modelling. Materials, 10(6), 635. https://doi.org/10.3390/ma10060635
  • 10.3390/ma10060635
  • Cites
  • Rose, I., Buffett, B., & Heister, T. (2017). Stability and accuracy of free surface time integration in viscous flows. Physics of the Earth and Planetary Interiors, 262, 90–100. https://doi.org/10.1016/j.pepi.2016.11.007
  • 10.1016/j.pepi.2016.11.007
  • Cites
Contact
  • Maestrelli, Daniele
  • The National Research Council of Italy (IGG-CNR)
  • daniele.maestrelli@gmail.com
Citation Maestrelli, D., Risaliti, G., Brune, S., Corti, G., Keir, D., & Sani, F. (2022). A database of R-R-R triple junction analogue and numerical models [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2022.027
Spatial coordinates
  • eLong 49.1715
  • nLat 19.5996
  • sLat 6.53194
  • wLong 36.6031