2020
DOI: 10.1016/j.earscirev.2020.103107
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What model material to use? A Review on rock analogs for structural geology and tectonics

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Cited by 55 publications
(58 citation statements)
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References 197 publications
(240 reference statements)
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“…Digital images, topographic data from laser scans, scripts and raw data have been uploaded using GFZ Data Services and can be accessed through https://doi.org/10.5880/fidgeo.2020.021. They are published open-access in Reitano et al (2020).…”
Section: Discussionmentioning
confidence: 99%
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“…Digital images, topographic data from laser scans, scripts and raw data have been uploaded using GFZ Data Services and can be accessed through https://doi.org/10.5880/fidgeo.2020.021. They are published open-access in Reitano et al (2020).…”
Section: Discussionmentioning
confidence: 99%
“…Experimentalists are always in search of a perfect dynamic scaling for their models. Scaling all the aspects of geological processes is very difficult to achieve, if not impossible (Reber et al, 2020). For example, using granular materials leads to a length scaling inherently not perfect: grains of the order of 0.1-1 mm in the laboratory, assuming a length scaling factor of 10 −5 , would correspond to 10 to 100 m in nature, which is obviously overestimated.…”
Section: Scaling Analysismentioning
confidence: 99%
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“…Although dry sand has many benefits as an analog for modeling crustal processes (e.g., strain-rate independence, well-constrained properties, and ease of use; Ritter et al, 2016Ritter et al, , 2018Schreurs et al, 2016;Reber et al, 2020), its low cohesion compared to wet kaolin favors the growth of new faults over fault reactivation (e.g., Eisenstadt and Sims, 2005;Cooke et al, 2013). The properties of wet kaolin that produce long-lived faults are particularly important for modeling the evolution of fault systems; the abandonment and reactivation of individual fault segments in scaled physical experiments approximate the fault evolution in the crust (e.g., Clifton et al, 2000;Ackermann et al, 2001;Schlische et al, 2002;Eisenstadt and Sims, 2005;Henza et al, 2010;e.g., Hatem et al, 2015e.g., Hatem et al, , 2017Bonini et al, 2016;Bonanno et al, 2017;Toeneboehn et al, 2018).…”
Section: Properties Of Wet Kaolinmentioning
confidence: 99%