Japan Geoscience Union Meeting 2016

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT27] New frontier of data analysis in geoscience: Data-driven approach

Sun. May 22, 2016 3:30 PM - 5:00 PM A04 (APA HOTEL&RESORT TOKYO BAY MAKUHARI)

Convener:*Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Takeshi Komai(none), Hideaki Miyamoto(The University Museum, The University of Tokyo), Katsuaki Koike(Laboratory of Environmental Geosphere Engineering, Department of Urban Management, Graduate School of Engineering, Kyoto University), Takane Hori(R&D Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Chair:Yasuhiko Igarashi(Department of Complexity Science and Engineering Graduate School of Frontier Sciences), Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology)

4:00 PM - 4:15 PM

[MTT27-08] Forward modeling of microboudinaged columnar grains: simplified microboudin palaeo-piezometer

*Taroujirou Matumura1, Masuda Toshiaki2 (1.Graduate School of Science and Technology, Educational Division, Shizuoka University, 2.Institute of Geosciences, Shizuoka University)

Keywords: Microboudin structure, Palaeo-piezometer, Numerical modeling

Proportion of microboudinaged columnar grains embedded within metamorphic rocks is the key gauge to evaluate the differential stress during plastic deformation. We present the forward modeling for microboudinaged grains, and propose the simplified microboudin palaeo-piezometer.
The modeling consists of the weakest-link theory and shear-lag model. The weakest-link theory for the fracturing of fibre minerals are derived the probability density function of fracture strength as a function of aspect ratio and strength (Masuda et al., 1989). We obtain the fracture strength of each columnar grain from generating sample numbers at random from above probability density function by the inverse transform method. Shear-lag model (Zhao and Ji 1997) is the stress-transfer model for stress distribution along a fibre connecting the far-field differential stress with the tensile stress. If the tensile stress is higher than the fracture strength on a certain grain, we regard this grain becoming the microboudinaged grain. We also assume that the distribution of fracturing points in each grains conform to the Beta distribution. We collected the shape data of the columnar grains from tourmaline grains embedded with in the metachert from East Pilbara Terrane. We measured the width, length, and fracturing point of the microboudinaged grains of 1432 tourmaline grains with their long axes ± 15° to the mean orientation. Base on the tourmaline grain shape data, we calculate the variation of the proportion of microboudinage grains with respect to the far-field differential stress from 0 to 20 MPa.
Our calculation shows that the increasing of proportion of the microboudinaged grains coincides with the increasing of the far-field differential stress. At 20 MPa, 70% of grains were microboudinaged. The proportion of microboudinaged grains with respect to aspect ratio, which is fundamental data in the microboudin stress analysis, shows significantly similar distribution pattern in natural microboudinaged tourmaline grains. Thus, our modeling surely reproduced the microboudinage of columnar mineral grains. We focus the results on the proportion of the microboudinaged grains with respect to far-field differential stress, and construct the simplified microboudin palaeo-piezometer to estimate the far-field differential stress from the proportion of the microboudinaged grains. We demonstrate the stress analysis to tourmaline grains embedded within metachert using the simplified microboudin palaeo-piezometer, and compare with usual microboudin palaeo-piezometer.
References
Masuda, T., Shibutani, T., Igarashi, T., & Kuriyama, M. (1989). Microboudin structure of piedmontite in quartz schists: a proposal for a new indicator of relative palaeodifferential stress. Tectonophysics, 163(1-2), 169-180.
Zhao, P., & Ji, S. (1997). Refinements of shear-lag model and its applications. Tectonophysics, 279(1), 37-53.