Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information

Since all available surrounding rock classification approaches don't consider the size effect of the tunnel excavation span and unfavourable geologic bodies, it’s impossible to evaluate the systematic stability of the surrounding rock by rock mass classification alone. In addition, the evaluati...
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Autor*in:	Peng He [verfasserIn] Gang Wang [verfasserIn] Shangqu Sun [verfasserIn] Weiteng Li [verfasserIn] Feng Jiang [verfasserIn] Chengcheng Zheng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	tunnel engineering surrounding rock stability discontinuous deformation analysis removable blocks digital characterization of joint information

Übergeordnetes Werk:	In: Geomatics, Natural Hazards & Risk - Taylor & Francis Group, 2016, 11(2020), 1, Seite 1528-1541
Übergeordnetes Werk:	volume:11 ; year:2020 ; number:1 ; pages:1528-1541

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/19475705.2020.1803996

Katalog-ID:	DOAJ060735988

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520			\|a Since all available surrounding rock classification approaches don't consider the size effect of the tunnel excavation span and unfavourable geologic bodies, it’s impossible to evaluate the systematic stability of the surrounding rock by rock mass classification alone. In addition, the evaluation results usually have poor robustness because of the uncertainty of structural information. In this paper, the actual distribution information and probability distribution model of the joints in tunnel face are obtained. Many random numbers that meet the probabilistic distribution models can be produced by Monte carlo simulation, and many random rating values of these evaluation indices are also obtained. The distribution probability affiliated with different rock mass levels can be attained by inductive statistics, and a robust evaluation of surrounding rock classification is carried out. The deformation and failure process of surrounding rock are simulated based on the discontinuous deformation analysis. A comparison analysis of removable blocks and their distribution characteristics is carried out by UJN. The most likely damaged parts and rockfall styles are indicated, and a comparison between calculation result and practical collapse of Laohushan tunnel is carried out, which are nearly the same. The research results offer practical guidance for field construction and supporting optimization.
650		4	\|a tunnel engineering
650		4	\|a surrounding rock stability
650		4	\|a discontinuous deformation analysis
650		4	\|a removable blocks
650		4	\|a digital characterization of joint information
653		0	\|a Environmental technology. Sanitary engineering
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653		0	\|a Risk in industry. Risk management
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700	0		\|a Chengcheng Zheng \|e verfasserin \|4 aut
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callnumber-first	T - Technology
author	Peng He
spellingShingle	Peng He misc TD1-1066 misc GE1-350 misc tunnel engineering misc surrounding rock stability misc discontinuous deformation analysis misc removable blocks misc digital characterization of joint information misc Environmental technology. Sanitary engineering misc Environmental sciences misc Risk in industry. Risk management misc HD61 Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information
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topic_title	TD1-1066 GE1-350 Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information tunnel engineering surrounding rock stability discontinuous deformation analysis removable blocks digital characterization of joint information
topic	misc TD1-1066 misc GE1-350 misc tunnel engineering misc surrounding rock stability misc discontinuous deformation analysis misc removable blocks misc digital characterization of joint information misc Environmental technology. Sanitary engineering misc Environmental sciences misc Risk in industry. Risk management misc HD61
topic_unstemmed	misc TD1-1066 misc GE1-350 misc tunnel engineering misc surrounding rock stability misc discontinuous deformation analysis misc removable blocks misc digital characterization of joint information misc Environmental technology. Sanitary engineering misc Environmental sciences misc Risk in industry. Risk management misc HD61
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title	Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information
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title_full	Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information
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author_browse	Peng He Gang Wang Shangqu Sun Weiteng Li Feng Jiang Chengcheng Zheng
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title_sort	reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information
callnumber	TD1-1066
title_auth	Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information
abstract	Since all available surrounding rock classification approaches don't consider the size effect of the tunnel excavation span and unfavourable geologic bodies, it’s impossible to evaluate the systematic stability of the surrounding rock by rock mass classification alone. In addition, the evaluation results usually have poor robustness because of the uncertainty of structural information. In this paper, the actual distribution information and probability distribution model of the joints in tunnel face are obtained. Many random numbers that meet the probabilistic distribution models can be produced by Monte carlo simulation, and many random rating values of these evaluation indices are also obtained. The distribution probability affiliated with different rock mass levels can be attained by inductive statistics, and a robust evaluation of surrounding rock classification is carried out. The deformation and failure process of surrounding rock are simulated based on the discontinuous deformation analysis. A comparison analysis of removable blocks and their distribution characteristics is carried out by UJN. The most likely damaged parts and rockfall styles are indicated, and a comparison between calculation result and practical collapse of Laohushan tunnel is carried out, which are nearly the same. The research results offer practical guidance for field construction and supporting optimization.
abstractGer	Since all available surrounding rock classification approaches don't consider the size effect of the tunnel excavation span and unfavourable geologic bodies, it’s impossible to evaluate the systematic stability of the surrounding rock by rock mass classification alone. In addition, the evaluation results usually have poor robustness because of the uncertainty of structural information. In this paper, the actual distribution information and probability distribution model of the joints in tunnel face are obtained. Many random numbers that meet the probabilistic distribution models can be produced by Monte carlo simulation, and many random rating values of these evaluation indices are also obtained. The distribution probability affiliated with different rock mass levels can be attained by inductive statistics, and a robust evaluation of surrounding rock classification is carried out. The deformation and failure process of surrounding rock are simulated based on the discontinuous deformation analysis. A comparison analysis of removable blocks and their distribution characteristics is carried out by UJN. The most likely damaged parts and rockfall styles are indicated, and a comparison between calculation result and practical collapse of Laohushan tunnel is carried out, which are nearly the same. The research results offer practical guidance for field construction and supporting optimization.
abstract_unstemmed	Since all available surrounding rock classification approaches don't consider the size effect of the tunnel excavation span and unfavourable geologic bodies, it’s impossible to evaluate the systematic stability of the surrounding rock by rock mass classification alone. In addition, the evaluation results usually have poor robustness because of the uncertainty of structural information. In this paper, the actual distribution information and probability distribution model of the joints in tunnel face are obtained. Many random numbers that meet the probabilistic distribution models can be produced by Monte carlo simulation, and many random rating values of these evaluation indices are also obtained. The distribution probability affiliated with different rock mass levels can be attained by inductive statistics, and a robust evaluation of surrounding rock classification is carried out. The deformation and failure process of surrounding rock are simulated based on the discontinuous deformation analysis. A comparison analysis of removable blocks and their distribution characteristics is carried out by UJN. The most likely damaged parts and rockfall styles are indicated, and a comparison between calculation result and practical collapse of Laohushan tunnel is carried out, which are nearly the same. The research results offer practical guidance for field construction and supporting optimization.
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title_short	Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information
url	https://doi.org/10.1080/19475705.2020.1803996 https://doaj.org/article/0f6d17667c5e49489d6a4ff0cb9afc62 http://dx.doi.org/10.1080/19475705.2020.1803996 https://doaj.org/toc/1947-5705 https://doaj.org/toc/1947-5713
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author2	Gang Wang Shangqu Sun Weiteng Li Feng Jiang Chengcheng Zheng
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doi_str	10.1080/19475705.2020.1803996
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up_date	2024-07-03T16:43:39.130Z
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Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information

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