Bayesian Estimation for Probability Distribution of Rock's Elastic Modulus Based on Compression Wave Velocity and Deformation Warning for Large Underground Cavern
文献类型：期刊论文
| 作者 | Liu, Jian3,4; Jiang, Quan4; Chen, Tao2; Yan, Shengcun2; Ying, Jianhui1; Xiong, Xiantao1; Zheng, Hong4 |
| 刊名 | ROCK MECHANICS AND ROCK ENGINEERING
 |
| 出版日期 | 2022-02-18 |
| 页码 | 19 |
| 关键词 | Bayesian method Ultrasonic testing Elastic modulus Safety warning Displacement probability quantile |
| ISSN号 | 0723-2632 |
| DOI | 10.1007/s00603-022-02801-2 |
| 英文摘要 | The elastic modulus of rock is the key parameter in excavation deformation prediction, support design, and the stability analysis of underground engineering. However, traditional statistical methods require a large number of laboratory or field tests to obtain its probability distribution form and distribution parameters, which is difficult in some projects. To overcome this problem, a new method based on Bayesian theory is developed to infer the rock elastic modulus probability distribution using the compression wave velocity of rock. The test data collected from the Firuzkoy area of Istanbul are used for method validation, the results of the developed method are compared with a traditional regression model to demonstrate the advantage under small sample conditions. And the effects of different prior ranges and forms on the evaluation results of the elastic modulus are also studied. Furthermore, the developed method is applied to obtain the probability distribution of the elastic modulus at the Yingliangbao hydropower station, and the safety warning indexes in the main powerhouse are formulated based on the displacement probability quantile. Compared with the field monitoring data, the consistency in excavation displacement indicates that the acquired elastic modulus of rock is reasonable for deformation probability estimation and safety warning in underground caverns. |
| 资助项目 | National Natural Science Foundation of China[U1965205] ; National Natural Science Foundation of China[51779251] ; Science and Technology department of China Huaneng Corporation Limited[HNKJ21-HF317] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000757754100001 |
| 出版者 | SPRINGER WIEN |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/34479]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Jiang, Quan |
| 作者单位 | 1.PowerChina Chengdu Engn Corp Ltd, Chengdu 610017, Peoples R China 2.Sichuan Huaneng Luding Hydropower Corp Ltd, Chengdu 610017, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Jian,Jiang, Quan,Chen, Tao,et al. Bayesian Estimation for Probability Distribution of Rock's Elastic Modulus Based on Compression Wave Velocity and Deformation Warning for Large Underground Cavern[J]. ROCK MECHANICS AND ROCK ENGINEERING,2022:19. |
| APA | Liu, Jian.,Jiang, Quan.,Chen, Tao.,Yan, Shengcun.,Ying, Jianhui.,...&Zheng, Hong.(2022).Bayesian Estimation for Probability Distribution of Rock's Elastic Modulus Based on Compression Wave Velocity and Deformation Warning for Large Underground Cavern.ROCK MECHANICS AND ROCK ENGINEERING,19. |
| MLA | Liu, Jian,et al."Bayesian Estimation for Probability Distribution of Rock's Elastic Modulus Based on Compression Wave Velocity and Deformation Warning for Large Underground Cavern".ROCK MECHANICS AND ROCK ENGINEERING (2022):19. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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