Japan Geoscience Union Meeting 2019

Presentation information

[J] Poster

S (Solid Earth Sciences ) » S-CG Complex & General

[S-CG54] Rheology, fracture and friction in Earth and planetary sciences

Tue. May 28, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Miki Tasaka(Shimane University), Osamu Kuwano(Japan Agency for Marine-Earth Science and Technology), Ichiko Shimizu(Division of Earth and Planetary Sciences, Graduate School of Science, Kyoto University), Hidemi Ishibashi(Faculty of Science, Shizuoka University)

[SCG54-P02] Feasibility Study of Morphological Characterization to Comminuted Particles by A Particle Characterization Approach (4)

*Daisuke Sasakura1, Osamu Kuwano2 (1.MalvernPanalytical Japan ,Div of Spectris Co.Ltd,., 2.JAMSTEC)

Keywords:Fault gouge, Particle size, Particles Shape, Commutation, Fractal Distributions

A faults zone contains fine rock powders called gouge that have been ground up by past fault motions. Particle size distribution and particle shape of gouge particles may affect the frictional properties of the fault and reflect the comminution process by the past fault motions. It is well known that particle size distribution (PSD) of fault gouge show power-law distributions. Exponent of this power law is considered to reflect the style and degree of deformation. In this report, we will discuss about the relationship between the PSD and the degree of comminution of model particles by automated particle image analysis and laser diffraction as a particle characterization method.

We did several shear experiments using a rotary shear apparatus with the shear displacement ranges between10mm to 1m. As an automated particle image analysis, Morphologi G3-SE (Malvern Instruments) was used for evaluation of particle size and shape. The observation mode was diascopic mode (Transmittance mode) and a magnification was choose to sufficient to cover 1 to 10,000um. The sample was dispersed with SDU (Sample Dispersion Unit) which attached Morphologi G3-SE. Number of measured particles was over than ten thousand and a parameter filter function on software was used based on shape and pixel number of particle image.