Bayesian Updating for Rock Properties Based on a Rock Database

被引：0

作者：

Shuku, Takayuki ^{[1
]}

Yokota, Yasuhiro ^{[2
]}

Date, Kensuke ^{[2
]}

Ishii, Masako ^{[3
]}

Kumagai, Takeru ^{[3
]}

Masumoto, Kazuhiko ^{[3
]}

Miyajima, Yasuyuki ^{[3
]}

机构：

[1] Okayama Univ, Grad Sch Environm & Life Sci, Kita Ku, Okayama, Japan

[2] Kajima Corp, Kajima Tech Res Inst Singapore, Singapore, Singapore

[3] Kajima Corp, Kajima Tech Res Inst, Chofu, Tokyo, Japan

来源：

GEO-RISK 2023: DEVELOPMENTS IN RELIABILITY, RISK, AND RESILIENCE | 2023年 / 346卷

关键词：

MULTIVARIATE PROBABILITY-DISTRIBUTION; PARAMETERS; CLAYS;

D O I：

暂无

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

In drill and blasting tunneling method, a quantitative evaluation of geological conditions by drilling energy obtained from computer jumbos is being applied. In this study, a multivariate normal distribution model was developed to estimate geotechnical properties from drilling energy, and tunnel excavation analysis was conducted using the developed multivariate normal distribution model. The results confirmed that the confidence zone of the predicted values for both settlement and convergence covered the measured values. Furthermore, results of an attempt to update the multivariate normal distribution model using a data assimilation technique suggested the possibility of improving the prediction accuracy.

引用

页码：84 / 92

页数：9

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