z-logo
Premium
Determining Crack Aperture Distribution in Rocks Using the 14 C‐PMMA Autoradiographic Method: Experiments and Simulations
Author(s) -
Bonnet M.,
Sardini P.,
Billon S.,
SiitariKauppi M.,
Kuva J.,
Fonteneau L.,
Caner L.
Publication year - 2020
Publication title -
journal of geophysical research: solid earth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.983
H-Index - 232
eISSN - 2169-9356
pISSN - 2169-9313
DOI - 10.1029/2019jb018241
Subject(s) - tilt (camera) , aperture (computer memory) , monte carlo method , materials science , distribution (mathematics) , geology , optics , mineralogy , geometry , acoustics , physics , mathematics , statistics , mathematical analysis
Because cracks control the global mechanical and transport properties of crystalline rocks, it is of a crucial importance to suitably determine their aperture distribution, which evolves through alteration processes and rock weathering. Due to the high variability of crack networks in rocks, a multiscale approach is needed. The 14 C‐PMMA (polymethylmethacrylate) method was developed to determine crack apertures using a set of artificial crack samples with different controlled apertures and tilt angles and also using Monte Carlo simulations. The experiments and simulations show the same result: the estimation of apparent aperture w A was successful regardless of tilt angle, even if the estimates are less accurate for low tilt angles (<30°). The uncertainties on the estimation of the real crack aperture w R arise from the unknown tilt angle. The ability of the 14 C‐PMMA autoradiography method to estimate crack aperture distributions in rock samples was successfully confirmed on a sample of Grimsel granodiorite.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom