Probability Quantification of GSI and D in Hoek-Brown Criterion Using Bayesian Inversion and Ultrasonic Test in Rock Mass
文献类型：期刊论文
| 作者 | Liu, Jian1,2,3; Jiang, Quan1; Dias, Daniel3; Tao, Chen4 |
| 刊名 | ROCK MECHANICS AND ROCK ENGINEERING
 |
| 出版日期 | 2023-07-10 |
| 卷号 | -期号:-页码:- |
| 关键词 | Bayesian method Ultrasonic testing Hoek-Brown failure criterion Rock mass mechanical parameter Disturbance factor |
| ISSN号 | 0723-2632 |
| 英文摘要 | The Hoek-Brown criterion is widely utilized in rock mass engineering. However, determining the geological strength index (GSI) and disturbance factor (D), essential parameters of the Hoek-Brown criterion, can be challenging. This study addresses this issue by establishing a quantitative expression for D based on the theoretical relationship between the P-wave velocity of rock mass (V-p) and dynamic elastic modulus (E-md). Furthermore, a probability inversion framework employing Bayesian theory is developed to derive the probability distribution of Hoek-Brown criterion parameters using field monitoring data. To validate the effectiveness of the framework, time-series data obtained during the excavation of the main powerhouse at the Yingliangbao Hydropower Station are utilized. The results demonstrate that the updated GSI and D parameters conform to normal distributions, specifically Normal (57.01, 4.04) for GSI and Normal (0.43, 0.10) for D, respectively. By incorporating the updated rock mass parameters, the accuracy of predicting excavation deformation is significantly improved. Overall, the developed framework offers a dynamic and probabilistic approach for determining Hoek-Brown criterion parameters, enabling more accurate deformation predictions and risk assessments during excavation projects. |
| 学科主题 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001026612600001 |
| 出版者 | SPRINGER WIEN |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/35539]  |
| 专题 | 中科院武汉岩土力学所 |
| 作者单位 | 1.State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Laboratory 3SR, CNRS UMR 5521, Grenoble Alpes University, 38000 Grenoble, France 4.Sichuan Huaneng Luding Hydropower Corporation Limited, Chengdu 610017, China |
| 推荐引用方式 GB/T 7714 | Liu, Jian,Jiang, Quan,Dias, Daniel,et al. Probability Quantification of GSI and D in Hoek-Brown Criterion Using Bayesian Inversion and Ultrasonic Test in Rock Mass[J]. ROCK MECHANICS AND ROCK ENGINEERING,2023,-(-):-. |
| APA | Liu, Jian,Jiang, Quan,Dias, Daniel,&Tao, Chen.(2023).Probability Quantification of GSI and D in Hoek-Brown Criterion Using Bayesian Inversion and Ultrasonic Test in Rock Mass.ROCK MECHANICS AND ROCK ENGINEERING,-(-),-. |
| MLA | Liu, Jian,et al."Probability Quantification of GSI and D in Hoek-Brown Criterion Using Bayesian Inversion and Ultrasonic Test in Rock Mass".ROCK MECHANICS AND ROCK ENGINEERING -.-(2023):-. |
入库方式： OAI收割
来源：武汉岩土力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。