Japan Society of Civil Engineers 2019 Annual Meeting

Presentation information

第VI部門

山岳トンネル (12)

Wed. Sep 4, 2019 8:40 AM - 10:10 AM VI-12 (幸町総合教育棟 第31大講義室)

座長:嶋本 敬介(鉄道総合技術研究所)

[VI-462] Tunnel Predictive CIM Expansion for the Rock Mass Classification

*三宅 由洋1、冨永 英治2、山根 裕之3、木梨 秀雄1 (1. 株式会社大林組、2. 地層科学研究所、3. 伊藤忠テクノソリューションズ株式会社)

Keywords:CIM, Prediction in tunnel, Kriging, Cloud

The work is a trial study for improving quality of the mountain tunnel rock mass classification to decide a suitable support, using the Tunnel Predictive CIM and cloud data sharing. 3D models of the Predictive CIM were made by spatial interpolation using kriging based on result data of non-core drilling exploration. Evaluation of predictive accuracy from comparison between 3D models and tunnel face observation suggest that these 3D models are useful for engineering rock mass classification. All exploration data including the predictive CIM models are applicable to cloud sharing.

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