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Data Publication
A database of R-R-R triple junction analogue and numerical models
Maestrelli, Daniele | Risaliti, Giacomo | Brune, Sascha | Corti, Giacomo | Keir, Derek | Sani, Federico
GFZ Data Services
(2022)
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).
Keywords
Originally assigned keywords
Corresponding MSL vocabulary keywords
MSL enriched keywords
MSL original sub domains
MSL enriched sub domains i
Source publisher
GFZ Data Services
DOI
10.5880/fidgeo.2022.027
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
daniele.maestrelli@gmail.com
The National Research Council of Italy (IGG-CNR)
Citiation
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