The University of Southampton
University of Southampton Institutional Repository

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

A database of R-R-R triple junction analogue and numerical models
A database of R-R-R triple junction analogue and numerical models
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).
Geoforschungszentrum Potsdam
Maestrelli, Daniele
1e8d2a80-0847-434e-8433-ed36c650e994
Risaliti, Giacomo
cf924b94-add4-4528-b75b-9566ecf4e8d6
Brune, Sascha
2610fb89-af9e-4fae-8292-fac70ec15418
Corti, Giacomo
dce88b12-5b7a-43b1-8a58-5bd1bc13634c
Keir, Derek
5616f81f-bf1b-4678-a167-3160b5647c65
Sani, Federico
6c59b4c4-ecca-4ecc-ba2c-66efa5e5e3df
Maestrelli, Daniele
1e8d2a80-0847-434e-8433-ed36c650e994
Risaliti, Giacomo
cf924b94-add4-4528-b75b-9566ecf4e8d6
Brune, Sascha
2610fb89-af9e-4fae-8292-fac70ec15418
Corti, Giacomo
dce88b12-5b7a-43b1-8a58-5bd1bc13634c
Keir, Derek
5616f81f-bf1b-4678-a167-3160b5647c65
Sani, Federico
6c59b4c4-ecca-4ecc-ba2c-66efa5e5e3df

(2022) A database of R-R-R triple junction analogue and numerical models. Geoforschungszentrum Potsdam doi:10.5880/fidgeo.2022.027 [Dataset]

Record type: Dataset

Abstract

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).

This record has no associated files available for download.

More information

Published date: 2022

Identifiers

Local EPrints ID: 471462
URI: http://eprints.soton.ac.uk/id/eprint/471462
PURE UUID: 521281f1-4586-4884-8002-55aa59dfa825
ORCID for Derek Keir: ORCID iD orcid.org/0000-0001-8787-8446

Catalogue record

Date deposited: 08 Nov 2022 18:52
Last modified: 06 May 2023 01:46

Export record

Altmetrics

Contributors

Contributor: Daniele Maestrelli
Contributor: Giacomo Risaliti
Contributor: Sascha Brune
Contributor: Giacomo Corti
Contributor: Derek Keir ORCID iD
Contributor: Federico Sani

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×