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Uncertainty quantification of inverse analysis for geomaterials using probabilistic programming

文献类型：期刊论文

作者Zhao, Hongbo1,2; Li, Shaojun2; Zang, Xiaoyu1; Liu, Xinyi1; Zhang, Lin1; Ren, Jiaolong1
刊名JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
出版日期2024-03-01
卷号16期号:3页码:895-908
关键词Geological engineering Geotechnical engineering Inverse analysis Uncertainty quanti fication Probabilistic programming
ISSN号1674-7755
DOI10.1016/j.jrmge.2023.07.014
英文摘要Uncertainty is an essentially challenging for safe construction and long-term stability of geotechnical engineering. The inverse analysis is commonly utilized to determine the physico-mechanical parameters. However, conventional inverse analysis cannot deal with uncertainty in geotechnical and geological systems. In this study, a framework was developed to evaluate and quantify uncertainty in inverse analysis based on the reduced-order model (ROM) and probabilistic programming. The ROM was utilized to capture the mechanical and deformation properties of surrounding rock mass in geomechanical problems. Probabilistic programming was employed to evaluate uncertainty during construction in geotechnical engineering. A circular tunnel was then used to illustrate the proposed framework using analytical and numerical solution. The results show that the geomechanical parameters and associated uncertainty can be properly obtained and the proposed framework can capture the mechanical behaviors under uncertainty. Then, a slope case was employed to demonstrate the performance of the developed framework. The results prove that the proposed framework provides a scientific, feasible, and effective tool to characterize the properties and physical mechanism of geomaterials under uncertainty in geotechnical engineering problems. (c) 2024 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
资助项目National Natural Science Foundation of China[42377174] ; Natural Science Foundation of Shandong Province, China[ZR2022ME198] ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z020006]
WOS研究方向Engineering
语种英语
WOS记录号WOS:001234766300001
出版者SCIENCE PRESS
源URL[http://119.78.100.198/handle/2S6PX9GI/41501]  
专题中科院武汉岩土力学所
通讯作者Zhao, Hongbo
作者单位1.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo 255000, Peoples R China
2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Hongbo,Li, Shaojun,Zang, Xiaoyu,et al. Uncertainty quantification of inverse analysis for geomaterials using probabilistic programming[J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,2024,16(3):895-908.
APA Zhao, Hongbo,Li, Shaojun,Zang, Xiaoyu,Liu, Xinyi,Zhang, Lin,&Ren, Jiaolong.(2024).Uncertainty quantification of inverse analysis for geomaterials using probabilistic programming.JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,16(3),895-908.
MLA Zhao, Hongbo,et al."Uncertainty quantification of inverse analysis for geomaterials using probabilistic programming".JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING 16.3(2024):895-908.

入库方式： OAI收割

来源：武汉岩土力学研究所

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