Sieving vs Scraping - AMS dataset from Analogue Sandbox Models

Published: 9 May 2023| Version 1 | DOI: 10.17632/cfczzr35t2.1
Thorben Schöfisch


Model preparation has a great impact on the rheology of the model and model development. Here, a sand-magnetite mixture is used to study the effect of model preparation on magnetic fabric and on the deformation of analogue sandbox models. The AMS datasets of each model are uploaded here. The datasets include next to the magnetic measurement parameters, the location (x and z coordinates), and the distance to the closest thrust (if applicable). Please, see the associated publication for further discussion (in preparation). In detail: - Two datasets shows AMS data from the initial state of a scraped and sieved model (labelled: "initial") - One dataset shows AMS data from a deformed scraped model - Two datasets show AMS data from sieved models, where one is deformed as the scraped model and the other is deformed also, but has not developed any kinks nor thrusts


Steps to reproduce

A sand-magnetite mixture (<1%vol with magnetite) was sieved or scraped for model preparation. Two models were left undeformed, three other models were shortened above a low-frictional décollement. After modelling, the models were wetted and vertical sections were cut into the model. At each model section, cubic samples (plastic containers) were taken (inner volume: 1.8 cm3) at different locations and structures of the model. Samples are taken throughout the models for AMS (Anisotropy of Magnetic Susceptibility) measurements with a MFK1-FA Kappabridge from Agico Inc. Please, see the associated publication for further discussion (in preparation).


Uppsala Universitet


Structural Geology, Rheology, Magnetic Susceptibility, Analogue Modeling of Tectonophysical Process