Determining Crack Aperture Distribution in Rocks Using the 14 C‐PMMA Autoradiographic Method: Experiments and Simulations-Reference-Cited by-同舟云学术

Determining Crack Aperture Distribution in Rocks Using the 14 C‐PMMA Autoradiographic Method: Experiments and Simulations

Published:2020-01 Issue:1 Volume:125 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:J. Geophys. Res. Solid Earth

Author:

Bonnet M.¹,Sardini P.¹,Billon S.²,Siitari‐Kauppi M.³,Kuva J.⁴,Fonteneau L.⁵,Caner L.¹

Affiliation:

1. IC2MP HydrASA Laboratory, UMR CNRS 7285, B35, University of Poitiers, TSA 51106 Poitiers France

2. ERM Company Poitiers France

3. Department of Chemistry University of Helsinki Helsinki Finland

4. Geological Survey of Finland Espoo Finland

5. Corescan Pty Ltd Western Australia Australia

Funder

European Commission

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JB018241

Reference63 articles.

1. Geant4—a simulation toolkit

2. Modeling Flow and Contaminant Transport in Fractured Rocks

3. Data set including raw data from the Geant4 simulations (energy profiles), a file with the data from the energy profiles extracted with a code under Code::Blocks, 2 scans of autoradiographs (perpendicular and tilted cracks), and 1 image of two artificial crack samples;Bonnet M.;GFZ Data Services.,2019

4. Program codes used under Geant4 toolkit and IDE Code::Blocks to simulate the 14C‐PMMA autoradiographic method and analyze the data, respectively, for better calibration of the determination of cracks aperture in rocks with this method;Bonnet M.;GFZ Data Services.,2019

5. A note on brittle crack growth in compression

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