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Determination of effective parameters on surface settlement during shield TBM

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dc.contributor.authorKim, Dongku-
dc.contributor.authorPham, Khanh-
dc.contributor.authorPark, Sangyeong-
dc.contributor.authorOh, Ju-Young-
dc.contributor.authorChoi, Hangseok-
dc.date.accessioned2021-08-31T01:51:27Z-
dc.date.available2021-08-31T01:51:27Z-
dc.date.created2021-06-19-
dc.date.issued2020-04-25-
dc.identifier.issn2005-307X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/56279-
dc.description.abstractTunnel excavation in shallow soft ground conditions of urban areas experiences inevitable surface settlements that threaten the stability of nearby infrastructures. Surface settlements during shield TBM tunneling are related to a number of factors including geotechnical conditions, tunnel geometry and excavation methods. In this paper, a database collected from a construction section of Hong Kong subway was used to analyze the correlation of settlement-inducing factors and surface settlements monitored at different locations of a transverse trough. The Pearson correlation analysis result revealed a correlation between the factors in consideration. Factors such as the face pressure, advance speed, thrust force, cutter torque, twin tunnel distance and ground water level presented a modest correlation with the surface settlement, while no significant trends between the other factors and the surface settlements were observed. It can be concluded that an integrated effect of the settlement-inducing factors should be related to the magnitude of surface settlements.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherTECHNO-PRESS-
dc.subjectARTIFICIAL NEURAL-NETWORKS-
dc.subjectINDUCED GROUND MOVEMENT-
dc.subjectPREDICTION-
dc.subjectTUNNEL-
dc.subjectPRESSURE-
dc.subjectDEFORMATION-
dc.subjectSUBSIDENCE-
dc.subjectMODEL-
dc.titleDetermination of effective parameters on surface settlement during shield TBM-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Hangseok-
dc.identifier.doi10.12989/gae.2020.21.2.153-
dc.identifier.scopusid2-s2.0-85083034977-
dc.identifier.wosid000526121800006-
dc.identifier.bibliographicCitationGEOMECHANICS AND ENGINEERING, v.21, no.2, pp.153 - 164-
dc.relation.isPartOfGEOMECHANICS AND ENGINEERING-
dc.citation.titleGEOMECHANICS AND ENGINEERING-
dc.citation.volume21-
dc.citation.number2-
dc.citation.startPage153-
dc.citation.endPage164-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Civil-
dc.relation.journalWebOfScienceCategoryEngineering, Geological-
dc.subject.keywordPlusARTIFICIAL NEURAL-NETWORKS-
dc.subject.keywordPlusINDUCED GROUND MOVEMENT-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusTUNNEL-
dc.subject.keywordPlusPRESSURE-
dc.subject.keywordPlusDEFORMATION-
dc.subject.keywordPlusSUBSIDENCE-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorshield TBM tunneling-
dc.subject.keywordAuthorsurface settlement-
dc.subject.keywordAuthoreffective parameter-
dc.subject.keywordAuthorPearson correlation-
dc.subject.keywordAuthortwin tunnel-
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공과대학 (건축사회환경공학부)
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