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JAEA Reports

Integration of the geological survey data obtained for shaft and gallery walls from the surface to a depth of 380m in the Horonobe Underground Research Laboratory Project

Sakai, Toshihiro; Hayano, Akira

JAEA-Data/Code 2021-010, 243 Pages, 2021/10

JAEA-Data-Code-2021-010.pdf:62.15MB
JAEA-Data-Code-2021-010-appendix1(CD-ROM).zip:95.55MB
JAEA-Data-Code-2021-010-appendix2(CD-ROM).zip:152.69MB
JAEA-Data-Code-2021-010-appendix3(CD-ROM).zip:25.48MB

The Horonobe Underground Research Laboratory (URL) Project is being pursued by the Japan Atomic Energy Agency (JAEA) to enhance the reliability of relevant disposal technologies through investigations of the deep geological environment within the host sedimentary formations at Horonobe, northern Hokkaido. The project consists of two major research areas, "Geoscientific Research" and "R&D on Geological Disposal", and proceeds in three overlapping phases, "Phase I: Surface-based investigation", "Phase II: Construction" and "Phase III: Operation". The geological survey has been carried out at the shafts and the galleries in the Phase II. The geological survey was carried out during the excavation cycle, and the data were obtained for each an excavation cross section. This report shows the data which the individual geological data were integrated for the geological survey at the shafts and the galleries from the surface to a depth of 380m.

Journal Articles

Variable-box segmentation of a three-dimensional point cloud for automatic estimation of discontinuities in rock mass

Matsukawa, Shun*; Itakura, Kenichi*; Hayano, Akira; Suzuki, Yukinori*

Journal of MMIJ, 133(11), p.256 - 263, 2017/11

LIDAR detects a rock mass surface configurations as a point cloud. DiAna (Discontinuity Analysis) is a Matlab tool which was developed for geo-structural analysis of rock mass discontinuities. DiAna segments a point cloud into bounding boxes to estimate the surface of a rock mass. However, an expert's skills necessary to determine the appropriate size of the bounding boxes for DiAna. We developed the VBS (Variable-Box Segmentation) algorithm to determine the appropriate box size depending on the location of the point cloud and to estimate the surface of a rock mass. The performance of the VBS algorithms was evaluated by comparison with the DiAna algorithm. The results of comparison showed that the VBS algorithm estimated planes more accurately for the reference planes than the DiAna algorithm. Therefore, the VBS algorithm determines appropriate box sizes automatically depending on the location of the point cloud and estimates the surface appropriately.

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