日本地球惑星科学連合2018年大会

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[JJ] 口頭発表

セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学

[M-GI27] データ駆動地球惑星科学

2018年5月23日(水) 10:45 〜 12:15 301A (幕張メッセ国際会議場 3F)

コンビーナ:桑谷 立(国立研究開発法人 海洋研究開発機構)、長尾 大道(東京大学地震研究所)、堀 高峰(独立行政法人海洋研究開発機構・地震津波海域観測研究開発センター)、座長:桑谷 立(海洋研究開発機構)、松村 太郎次郎

11:00 〜 11:15

[MGI27-14] パーシステントホモロジーを用いた岩石き裂構造解析

*Suzuki Anna1宮澤 美幸1岡本 敦1清水 浩之2平岡 裕章1大林 一平1伊藤 高敏1 (1.東北大学、2.鹿島建設株式会社)

キーワード:幾何構造解析、蛇紋岩、き裂構造、パーシステントホモロジー

Structures of fractures and faults dominate fluid flow in rocks, while physical and/or chemical processes of fluid affect fracture formation. Thus, their interactions and the relationship between fractures and fluid flow are of importance in geoscientific research and geological development. This study aims to quantify topological patterns of fracture distributions and their flow properties. Persistent homology is a method of topological data analysis, which measures features of connected components of a topological space and encodes multi-scale topological features in the persistence diagrams. First, we generated synthetic regular patterns of fractures and evaluated features of their persistence diagrams. Fracture properties, such as fracture aperture and grain size, were characterized and quantified in their persistent diagrams. An example of fracture characterization using persistent homology is shown. Photos of mesh textures of serpentine were analyzed, as well as simulation results from a distinct element method (DEM) consisting of complex fracture network. Although their textures have complex distributions, quantity of topological features were evaluated on their persistent diagrams. Finding similar feature of their persistent diagrams would help to compare between actual rocks and simulation results and to understand how the serpentine were formed within the oceanic lithosphere. Persistent homology is expected to evaluate images that humans judged sensibly or that humans were not able to recognize their regularity.