Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network

Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a fin...
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Autor*in:	Wei, Siyu [verfasserIn] Li, Yanyan Shang, Yanjun Sun, Yuanchun Li, Kun

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Fracture In-situ stress Discrete fracture network Surrounding rock stability

Anmerkung:	© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022

Übergeordnetes Werk:	Enthalten in: Environmental earth sciences - Berlin : Springer, 2009, 81(2022), 3 vom: 21. Jan.
Übergeordnetes Werk:	volume:81 ; year:2022 ; number:3 ; day:21 ; month:01

Links:	Volltext

DOI / URN:	10.1007/s12665-021-10145-3

Katalog-ID:	SPR046028536

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520			\|a Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall.
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allfields	10.1007/s12665-021-10145-3 doi (DE-627)SPR046028536 (SPR)s12665-021-10145-3-e DE-627 ger DE-627 rakwb eng Wei, Siyu verfasserin aut Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. Fracture (dpeaa)DE-He213 In-situ stress (dpeaa)DE-He213 Discrete fracture network (dpeaa)DE-He213 Surrounding rock stability (dpeaa)DE-He213 Li, Yanyan (orcid)0000-0003-3436-1683 aut Shang, Yanjun aut Sun, Yuanchun aut Li, Kun aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 3 vom: 21. Jan. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:3 day:21 month:01 https://dx.doi.org/10.1007/s12665-021-10145-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 3 21 01
spelling	10.1007/s12665-021-10145-3 doi (DE-627)SPR046028536 (SPR)s12665-021-10145-3-e DE-627 ger DE-627 rakwb eng Wei, Siyu verfasserin aut Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. Fracture (dpeaa)DE-He213 In-situ stress (dpeaa)DE-He213 Discrete fracture network (dpeaa)DE-He213 Surrounding rock stability (dpeaa)DE-He213 Li, Yanyan (orcid)0000-0003-3436-1683 aut Shang, Yanjun aut Sun, Yuanchun aut Li, Kun aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 3 vom: 21. Jan. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:3 day:21 month:01 https://dx.doi.org/10.1007/s12665-021-10145-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 3 21 01
allfields_unstemmed	10.1007/s12665-021-10145-3 doi (DE-627)SPR046028536 (SPR)s12665-021-10145-3-e DE-627 ger DE-627 rakwb eng Wei, Siyu verfasserin aut Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. Fracture (dpeaa)DE-He213 In-situ stress (dpeaa)DE-He213 Discrete fracture network (dpeaa)DE-He213 Surrounding rock stability (dpeaa)DE-He213 Li, Yanyan (orcid)0000-0003-3436-1683 aut Shang, Yanjun aut Sun, Yuanchun aut Li, Kun aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 3 vom: 21. Jan. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:3 day:21 month:01 https://dx.doi.org/10.1007/s12665-021-10145-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 3 21 01
allfieldsGer	10.1007/s12665-021-10145-3 doi (DE-627)SPR046028536 (SPR)s12665-021-10145-3-e DE-627 ger DE-627 rakwb eng Wei, Siyu verfasserin aut Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. Fracture (dpeaa)DE-He213 In-situ stress (dpeaa)DE-He213 Discrete fracture network (dpeaa)DE-He213 Surrounding rock stability (dpeaa)DE-He213 Li, Yanyan (orcid)0000-0003-3436-1683 aut Shang, Yanjun aut Sun, Yuanchun aut Li, Kun aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 3 vom: 21. Jan. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:3 day:21 month:01 https://dx.doi.org/10.1007/s12665-021-10145-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 3 21 01
allfieldsSound	10.1007/s12665-021-10145-3 doi (DE-627)SPR046028536 (SPR)s12665-021-10145-3-e DE-627 ger DE-627 rakwb eng Wei, Siyu verfasserin aut Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. Fracture (dpeaa)DE-He213 In-situ stress (dpeaa)DE-He213 Discrete fracture network (dpeaa)DE-He213 Surrounding rock stability (dpeaa)DE-He213 Li, Yanyan (orcid)0000-0003-3436-1683 aut Shang, Yanjun aut Sun, Yuanchun aut Li, Kun aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 81(2022), 3 vom: 21. Jan. (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:81 year:2022 number:3 day:21 month:01 https://dx.doi.org/10.1007/s12665-021-10145-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 81 2022 3 21 01
language	English
source	Enthalten in Environmental earth sciences 81(2022), 3 vom: 21. Jan. volume:81 year:2022 number:3 day:21 month:01
sourceStr	Enthalten in Environmental earth sciences 81(2022), 3 vom: 21. Jan. volume:81 year:2022 number:3 day:21 month:01
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Fracture In-situ stress Discrete fracture network Surrounding rock stability
isfreeaccess_bool	false
container_title	Environmental earth sciences
authorswithroles_txt_mv	Wei, Siyu @@aut@@ Li, Yanyan @@aut@@ Shang, Yanjun @@aut@@ Sun, Yuanchun @@aut@@ Li, Kun @@aut@@
publishDateDaySort_date	2022-01-21T00:00:00Z
hierarchy_top_id	599673451
id	SPR046028536
language_de	englisch
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author	Wei, Siyu
spellingShingle	Wei, Siyu misc Fracture misc In-situ stress misc Discrete fracture network misc Surrounding rock stability Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network
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topic_title	Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network Fracture (dpeaa)DE-He213 In-situ stress (dpeaa)DE-He213 Discrete fracture network (dpeaa)DE-He213 Surrounding rock stability (dpeaa)DE-He213
topic	misc Fracture misc In-situ stress misc Discrete fracture network misc Surrounding rock stability
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title	Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network
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title_full	Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network
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author_browse	Wei, Siyu Li, Yanyan Shang, Yanjun Sun, Yuanchun Li, Kun
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title_sort	stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network
title_auth	Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network
abstract	Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
abstractGer	Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
abstract_unstemmed	Abstract Underground excavation often encountered rock masses embedded with pre-existing fractures. Conventional excavation analysis was generally based on a continuum description. In this study, to investigate the influence of randomly distributed discrete fractures on underground excavation, a finite element modeling approach based on a three-dimensional (3D) discrete fracture network (DFN) was utilized. The influence of fracture parameters including fracture intensity, dip angle and strike on the surrounding rock stability was considered in the simulation. The results suggested that fractures caused complexity in terms of the deformation behavior of rock masses around the underground cavern, facilitated the instability of surrounding rock. The intensity, dip angle and strike of fractures had different effects on the stress, displacement and failure modes of the jointed rock masses. The fracture intensity mainly affected the magnitudes of the induced stress and displacement of surrounding rock masses: a larger stress concentration and heterogeneous distribution were more likely to occur in rock masses with lower fracture intensity. While the dip angle and strike of fractures showed more impact on the distribution of displacement and failure modes of surrounding rock masses, especially for those on the roof and sidewall. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
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container_issue	3
title_short	Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network
url	https://dx.doi.org/10.1007/s12665-021-10145-3
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author2	Li, Yanyan Shang, Yanjun Sun, Yuanchun Li, Kun
author2Str	Li, Yanyan Shang, Yanjun Sun, Yuanchun Li, Kun
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doi_str	10.1007/s12665-021-10145-3
up_date	2024-07-03T19:52:19.542Z
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Stability analysis of fractured rock mass around underground excavations based on a three-dimensional discrete fracture network

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