Peng He, Si-chen Feng, Feng Jiang, Gang Wang, Zhi-yong Xiao, Yan Chen, Cheng-cheng Zheng
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Finally we calculate the reliability probability of surrounding rock rating using Monte Carlo method. The study results indicate that, in view of the uncertainty of surrounding rock rating, the proposed approach fully considers the information of each rating method, and also the data dispersion of local fractured zones, weak interlayers and other tunnel face surrounding rock. Moreover, based on the parameters summary, the proposed approach is proved to be applicable to the current rock mass, and thus makes it possible to evaluate the reliability probability of the tunnel surrounding rock rating. This study helps site personnel to assess surrounding rock rating results more conveniently and accurately, and provides precise guidance for reasonably determining the construction method transition interval and optimizing support parameters.</p>","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":"33 7 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An approach to analyzing the reliability of tunnel surrounding rock rating results considering uncertainty\",\"authors\":\"Peng He, Si-chen Feng, Feng Jiang, Gang Wang, Zhi-yong Xiao, Yan Chen, Cheng-cheng Zheng\",\"doi\":\"10.1007/s11770-023-1047-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The geological environment of underground engineering is complex and full of various uncertainties, and ensuring the reliability of tunnel surrounding rock rating results is crucial for projects. In this study, we first analyze the interrelationships and indicator weights of international mainstream rating methods of tunnel surrounding rock, and summarize the applicability of each method. Next, based on dialectical materialism, we propose that the uncertainties can be divided into multiple levels. Then we analyze the probability distribution law of rating indicators such as rock strength and rock integrity, introduce and use the theory of system reliability analysis, and build functions for the surrounding rocks of different classes. Finally we calculate the reliability probability of surrounding rock rating using Monte Carlo method. The study results indicate that, in view of the uncertainty of surrounding rock rating, the proposed approach fully considers the information of each rating method, and also the data dispersion of local fractured zones, weak interlayers and other tunnel face surrounding rock. Moreover, based on the parameters summary, the proposed approach is proved to be applicable to the current rock mass, and thus makes it possible to evaluate the reliability probability of the tunnel surrounding rock rating. This study helps site personnel to assess surrounding rock rating results more conveniently and accurately, and provides precise guidance for reasonably determining the construction method transition interval and optimizing support parameters.</p>\",\"PeriodicalId\":55500,\"journal\":{\"name\":\"Applied Geophysics\",\"volume\":\"33 7 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Geophysics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s11770-023-1047-6\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geophysics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11770-023-1047-6","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
An approach to analyzing the reliability of tunnel surrounding rock rating results considering uncertainty
The geological environment of underground engineering is complex and full of various uncertainties, and ensuring the reliability of tunnel surrounding rock rating results is crucial for projects. In this study, we first analyze the interrelationships and indicator weights of international mainstream rating methods of tunnel surrounding rock, and summarize the applicability of each method. Next, based on dialectical materialism, we propose that the uncertainties can be divided into multiple levels. Then we analyze the probability distribution law of rating indicators such as rock strength and rock integrity, introduce and use the theory of system reliability analysis, and build functions for the surrounding rocks of different classes. Finally we calculate the reliability probability of surrounding rock rating using Monte Carlo method. The study results indicate that, in view of the uncertainty of surrounding rock rating, the proposed approach fully considers the information of each rating method, and also the data dispersion of local fractured zones, weak interlayers and other tunnel face surrounding rock. Moreover, based on the parameters summary, the proposed approach is proved to be applicable to the current rock mass, and thus makes it possible to evaluate the reliability probability of the tunnel surrounding rock rating. This study helps site personnel to assess surrounding rock rating results more conveniently and accurately, and provides precise guidance for reasonably determining the construction method transition interval and optimizing support parameters.
期刊介绍:
The journal is designed to provide an academic realm for a broad blend of academic and industry papers to promote rapid communication and exchange of ideas between Chinese and world-wide geophysicists.
The publication covers the applications of geoscience, geophysics, and related disciplines in the fields of energy, resources, environment, disaster, engineering, information, military, and surveying.