Rock mass deformation modulus estimation models based on in situ tests
It is valuable to build an empirical model to estimate rock mass deformation modulus which is difficult to be determined by in situ tests. Based on 84 data sets from Yalong River Jinping-I hydropower station, the correlation between some easily measured geotechnical parameters and rock mass deformat...
Gespeichert in:
| Veröffentlicht in: | Rock mechanics and rock engineering 2021-11, Vol.54 (11), p.5683-5702 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 5702 |
|---|---|
| container_issue | 11 |
| container_start_page | 5683 |
| container_title | Rock mechanics and rock engineering |
| container_volume | 54 |
| creator | Hua, Dongjie Jiang, Qinghui Liu, Ruyan Gao, Yingchao Yu, Meng |
| description | It is valuable to build an empirical model to estimate rock mass deformation modulus which is difficult to be determined by in situ tests. Based on 84 data sets from Yalong River Jinping-I hydropower station, the correlation between some easily measured geotechnical parameters and rock mass deformation modulus is analyzed. A two-parameter estimation model with higher estimation capacity than previous models is established based on a nonlinear regression algorithm. The P-wave acoustic velocity (
V
p
) and
Q
-value of rock mass are included in this two-parameter estimation model. Besides, according to the obtained data, it is not suitable to use an empirical model including elastic modulus of intact rock (
E
i
) to estimate rock mass modulus under high crustal stress condition. |
| doi_str_mv | 10.1007/s00603-021-02578-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2593954540</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2593954540</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-225002c0a10c652db95aba4b84caa83aaaba4fc499e9d8478e201e05b67c25703</originalsourceid><addsrcrecordid>eNp9UE1LxDAQDaLguvoHPAU8RydfbXOUxVVhQRAFbyFNU-m626yZlsV_b9YK3jwMw5t5b4b3CLnkcM0ByhsEKEAyEDyXLiu2PyIzrqRiSsu3YzKDUkgmCilOyRniGiAvy2pGls_Rf9CtQ6RNaGPauqGLPd3GZtyMSAMO3d8obJDWDkNDM-56it0w0iFz8JyctG6D4eK3z8nr8u5l8cBWT_ePi9sV85KbgQmhAYQHx8EXWjS10a52qq6Ud66Szh1Q65UxwTSVKqsggAfQdVH6bAvknFxNd3cpfo75s13HMfX5pRXaSKOVVgeWmFg-RcQUWrtL2Ub6shzsIS875WVzXvYnL7vPIjmJMJP795D-Tv-j-ga-PW5Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2593954540</pqid></control><display><type>article</type><title>Rock mass deformation modulus estimation models based on in situ tests</title><source>SpringerLink Journals</source><creator>Hua, Dongjie ; Jiang, Qinghui ; Liu, Ruyan ; Gao, Yingchao ; Yu, Meng</creator><creatorcontrib>Hua, Dongjie ; Jiang, Qinghui ; Liu, Ruyan ; Gao, Yingchao ; Yu, Meng</creatorcontrib><description>It is valuable to build an empirical model to estimate rock mass deformation modulus which is difficult to be determined by in situ tests. Based on 84 data sets from Yalong River Jinping-I hydropower station, the correlation between some easily measured geotechnical parameters and rock mass deformation modulus is analyzed. A two-parameter estimation model with higher estimation capacity than previous models is established based on a nonlinear regression algorithm. The P-wave acoustic velocity (
V
p
) and
Q
-value of rock mass are included in this two-parameter estimation model. Besides, according to the obtained data, it is not suitable to use an empirical model including elastic modulus of intact rock (
E
i
) to estimate rock mass modulus under high crustal stress condition.</description><identifier>ISSN: 0723-2632</identifier><identifier>EISSN: 1434-453X</identifier><identifier>DOI: 10.1007/s00603-021-02578-w</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Acoustic velocity ; Algorithms ; Civil Engineering ; Deformation ; Deformation analysis ; Earth and Environmental Science ; Earth Sciences ; Empirical analysis ; Field tests ; Geophysics/Geodesy ; Hydroelectric power ; Hydroelectric power stations ; In situ tests ; Mathematical models ; Mechanical properties ; Modulus of deformation ; Modulus of elasticity ; Original Paper ; P waves ; Parameter estimation ; Rock masses ; Rocks</subject><ispartof>Rock mechanics and rock engineering, 2021-11, Vol.54 (11), p.5683-5702</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-225002c0a10c652db95aba4b84caa83aaaba4fc499e9d8478e201e05b67c25703</citedby><cites>FETCH-LOGICAL-c319t-225002c0a10c652db95aba4b84caa83aaaba4fc499e9d8478e201e05b67c25703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00603-021-02578-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00603-021-02578-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Hua, Dongjie</creatorcontrib><creatorcontrib>Jiang, Qinghui</creatorcontrib><creatorcontrib>Liu, Ruyan</creatorcontrib><creatorcontrib>Gao, Yingchao</creatorcontrib><creatorcontrib>Yu, Meng</creatorcontrib><title>Rock mass deformation modulus estimation models based on in situ tests</title><title>Rock mechanics and rock engineering</title><addtitle>Rock Mech Rock Eng</addtitle><description>It is valuable to build an empirical model to estimate rock mass deformation modulus which is difficult to be determined by in situ tests. Based on 84 data sets from Yalong River Jinping-I hydropower station, the correlation between some easily measured geotechnical parameters and rock mass deformation modulus is analyzed. A two-parameter estimation model with higher estimation capacity than previous models is established based on a nonlinear regression algorithm. The P-wave acoustic velocity (
V
p
) and
Q
-value of rock mass are included in this two-parameter estimation model. Besides, according to the obtained data, it is not suitable to use an empirical model including elastic modulus of intact rock (
E
i
) to estimate rock mass modulus under high crustal stress condition.</description><subject>Acoustic velocity</subject><subject>Algorithms</subject><subject>Civil Engineering</subject><subject>Deformation</subject><subject>Deformation analysis</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Empirical analysis</subject><subject>Field tests</subject><subject>Geophysics/Geodesy</subject><subject>Hydroelectric power</subject><subject>Hydroelectric power stations</subject><subject>In situ tests</subject><subject>Mathematical models</subject><subject>Mechanical properties</subject><subject>Modulus of deformation</subject><subject>Modulus of elasticity</subject><subject>Original Paper</subject><subject>P waves</subject><subject>Parameter estimation</subject><subject>Rock masses</subject><subject>Rocks</subject><issn>0723-2632</issn><issn>1434-453X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UE1LxDAQDaLguvoHPAU8RydfbXOUxVVhQRAFbyFNU-m626yZlsV_b9YK3jwMw5t5b4b3CLnkcM0ByhsEKEAyEDyXLiu2PyIzrqRiSsu3YzKDUkgmCilOyRniGiAvy2pGls_Rf9CtQ6RNaGPauqGLPd3GZtyMSAMO3d8obJDWDkNDM-56it0w0iFz8JyctG6D4eK3z8nr8u5l8cBWT_ePi9sV85KbgQmhAYQHx8EXWjS10a52qq6Ud66Szh1Q65UxwTSVKqsggAfQdVH6bAvknFxNd3cpfo75s13HMfX5pRXaSKOVVgeWmFg-RcQUWrtL2Ub6shzsIS875WVzXvYnL7vPIjmJMJP795D-Tv-j-ga-PW5Y</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Hua, Dongjie</creator><creator>Jiang, Qinghui</creator><creator>Liu, Ruyan</creator><creator>Gao, Yingchao</creator><creator>Yu, Meng</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20211101</creationdate><title>Rock mass deformation modulus estimation models based on in situ tests</title><author>Hua, Dongjie ; Jiang, Qinghui ; Liu, Ruyan ; Gao, Yingchao ; Yu, Meng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-225002c0a10c652db95aba4b84caa83aaaba4fc499e9d8478e201e05b67c25703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acoustic velocity</topic><topic>Algorithms</topic><topic>Civil Engineering</topic><topic>Deformation</topic><topic>Deformation analysis</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Empirical analysis</topic><topic>Field tests</topic><topic>Geophysics/Geodesy</topic><topic>Hydroelectric power</topic><topic>Hydroelectric power stations</topic><topic>In situ tests</topic><topic>Mathematical models</topic><topic>Mechanical properties</topic><topic>Modulus of deformation</topic><topic>Modulus of elasticity</topic><topic>Original Paper</topic><topic>P waves</topic><topic>Parameter estimation</topic><topic>Rock masses</topic><topic>Rocks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hua, Dongjie</creatorcontrib><creatorcontrib>Jiang, Qinghui</creatorcontrib><creatorcontrib>Liu, Ruyan</creatorcontrib><creatorcontrib>Gao, Yingchao</creatorcontrib><creatorcontrib>Yu, Meng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Rock mechanics and rock engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hua, Dongjie</au><au>Jiang, Qinghui</au><au>Liu, Ruyan</au><au>Gao, Yingchao</au><au>Yu, Meng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rock mass deformation modulus estimation models based on in situ tests</atitle><jtitle>Rock mechanics and rock engineering</jtitle><stitle>Rock Mech Rock Eng</stitle><date>2021-11-01</date><risdate>2021</risdate><volume>54</volume><issue>11</issue><spage>5683</spage><epage>5702</epage><pages>5683-5702</pages><issn>0723-2632</issn><eissn>1434-453X</eissn><abstract>It is valuable to build an empirical model to estimate rock mass deformation modulus which is difficult to be determined by in situ tests. Based on 84 data sets from Yalong River Jinping-I hydropower station, the correlation between some easily measured geotechnical parameters and rock mass deformation modulus is analyzed. A two-parameter estimation model with higher estimation capacity than previous models is established based on a nonlinear regression algorithm. The P-wave acoustic velocity (
V
p
) and
Q
-value of rock mass are included in this two-parameter estimation model. Besides, according to the obtained data, it is not suitable to use an empirical model including elastic modulus of intact rock (
E
i
) to estimate rock mass modulus under high crustal stress condition.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00603-021-02578-w</doi><tpages>20</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0723-2632 |
| ispartof | Rock mechanics and rock engineering, 2021-11, Vol.54 (11), p.5683-5702 |
| issn | 0723-2632 1434-453X |
| language | eng |
| recordid | cdi_proquest_journals_2593954540 |
| source | SpringerLink Journals |
| subjects | Acoustic velocity Algorithms Civil Engineering Deformation Deformation analysis Earth and Environmental Science Earth Sciences Empirical analysis Field tests Geophysics/Geodesy Hydroelectric power Hydroelectric power stations In situ tests Mathematical models Mechanical properties Modulus of deformation Modulus of elasticity Original Paper P waves Parameter estimation Rock masses Rocks |
| title | Rock mass deformation modulus estimation models based on in situ tests |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T08%3A53%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rock%20mass%20deformation%20modulus%20estimation%20models%20based%20on%20in%20situ%20tests&rft.jtitle=Rock%20mechanics%20and%20rock%20engineering&rft.au=Hua,%20Dongjie&rft.date=2021-11-01&rft.volume=54&rft.issue=11&rft.spage=5683&rft.epage=5702&rft.pages=5683-5702&rft.issn=0723-2632&rft.eissn=1434-453X&rft_id=info:doi/10.1007/s00603-021-02578-w&rft_dat=%3Cproquest_cross%3E2593954540%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2593954540&rft_id=info:pmid/&rfr_iscdi=true |