Prediction and analysis of replaceable scraper wear of slurry shield TBM in dense sandy ground: A case study of Sutong GIL Yangtze River Crossing Cable Tunnel
Prediction and analysis of cutting tool wear in dense sandy ground is important for improving the working performance of slurry shield TBM, especially for long-distance cross-river tunnel. Appropriate prognosis model can not only improve the construction efficiency, but also avoid the risk from cutt...
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Veröffentlicht in: | Tunnelling and underground space technology 2020-01, Vol.95, p.103090, Article 103090 |
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description | Prediction and analysis of cutting tool wear in dense sandy ground is important for improving the working performance of slurry shield TBM, especially for long-distance cross-river tunnel. Appropriate prognosis model can not only improve the construction efficiency, but also avoid the risk from cutterhead inspection and tool maintenance which are difficult, time-consuming but necessary procedures. Although several prognosis models have been utilized for estimating cutting tool wear, these models have inherent mismatches with actual geological conditions of tunnel projects. In order to promote the predictability of cutterhead inspection and tool maintenance, empirical prognosis model suggested by the Japanese Society of Civil Engineers (JSCE) has been improved by proposing a new method for the calculation of the wear coefficient in heterogeneous ground. Compared with initial model, the improved model takes into account the influence of stratigraphic change along the tunnel alignment on the wear coefficient. Hence, it is more applicable and accurate. A case study on the prediction and analysis of replaceable scraper wear in dense sandy ground at Sutong GIL Yangtze River Crossing Cable Tunnel has been carried out by using the improved model. The predicted value is comparable with the actual value in terms of wear coefficient and wear extent. |
doi_str_mv | 10.1016/j.tust.2019.103090 |
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Appropriate prognosis model can not only improve the construction efficiency, but also avoid the risk from cutterhead inspection and tool maintenance which are difficult, time-consuming but necessary procedures. Although several prognosis models have been utilized for estimating cutting tool wear, these models have inherent mismatches with actual geological conditions of tunnel projects. In order to promote the predictability of cutterhead inspection and tool maintenance, empirical prognosis model suggested by the Japanese Society of Civil Engineers (JSCE) has been improved by proposing a new method for the calculation of the wear coefficient in heterogeneous ground. Compared with initial model, the improved model takes into account the influence of stratigraphic change along the tunnel alignment on the wear coefficient. Hence, it is more applicable and accurate. A case study on the prediction and analysis of replaceable scraper wear in dense sandy ground at Sutong GIL Yangtze River Crossing Cable Tunnel has been carried out by using the improved model. The predicted value is comparable with the actual value in terms of wear coefficient and wear extent.</description><identifier>ISSN: 0886-7798</identifier><identifier>EISSN: 1878-4364</identifier><identifier>DOI: 10.1016/j.tust.2019.103090</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Boring machines ; Civil engineering ; Civil engineers ; Coefficients ; Cutting tool wear ; Cutting tools ; Cutting wear ; Dense sandy ground ; Empirical analysis ; Empirical prognosis model ; Inspection ; Maintenance ; Predictions ; Prognosis ; Slurries ; Slurry shield TBM ; Stratigraphy ; Tool wear ; Tunnels ; Underground construction ; Wear coefficient</subject><ispartof>Tunnelling and underground space technology, 2020-01, Vol.95, p.103090, Article 103090</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-288179038f42fecc86cdb56f131e18ff028141e0169bea49a37da38d5bdb214c3</citedby><cites>FETCH-LOGICAL-c328t-288179038f42fecc86cdb56f131e18ff028141e0169bea49a37da38d5bdb214c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.tust.2019.103090$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Tang, Shao-Hui</creatorcontrib><creatorcontrib>Zhang, Xiao-Ping</creatorcontrib><creatorcontrib>Liu, Quan-Sheng</creatorcontrib><creatorcontrib>Chen, Peng</creatorcontrib><creatorcontrib>Sun, Xu-Tao</creatorcontrib><creatorcontrib>Sun, Lei</creatorcontrib><creatorcontrib>Dai, Yang</creatorcontrib><creatorcontrib>Chen, Song-Tao</creatorcontrib><title>Prediction and analysis of replaceable scraper wear of slurry shield TBM in dense sandy ground: A case study of Sutong GIL Yangtze River Crossing Cable Tunnel</title><title>Tunnelling and underground space technology</title><description>Prediction and analysis of cutting tool wear in dense sandy ground is important for improving the working performance of slurry shield TBM, especially for long-distance cross-river tunnel. Appropriate prognosis model can not only improve the construction efficiency, but also avoid the risk from cutterhead inspection and tool maintenance which are difficult, time-consuming but necessary procedures. Although several prognosis models have been utilized for estimating cutting tool wear, these models have inherent mismatches with actual geological conditions of tunnel projects. In order to promote the predictability of cutterhead inspection and tool maintenance, empirical prognosis model suggested by the Japanese Society of Civil Engineers (JSCE) has been improved by proposing a new method for the calculation of the wear coefficient in heterogeneous ground. Compared with initial model, the improved model takes into account the influence of stratigraphic change along the tunnel alignment on the wear coefficient. Hence, it is more applicable and accurate. A case study on the prediction and analysis of replaceable scraper wear in dense sandy ground at Sutong GIL Yangtze River Crossing Cable Tunnel has been carried out by using the improved model. The predicted value is comparable with the actual value in terms of wear coefficient and wear extent.</description><subject>Boring machines</subject><subject>Civil engineering</subject><subject>Civil engineers</subject><subject>Coefficients</subject><subject>Cutting tool wear</subject><subject>Cutting tools</subject><subject>Cutting wear</subject><subject>Dense sandy ground</subject><subject>Empirical analysis</subject><subject>Empirical prognosis model</subject><subject>Inspection</subject><subject>Maintenance</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Slurries</subject><subject>Slurry shield TBM</subject><subject>Stratigraphy</subject><subject>Tool wear</subject><subject>Tunnels</subject><subject>Underground construction</subject><subject>Wear coefficient</subject><issn>0886-7798</issn><issn>1878-4364</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UctOwzAQtBBIlMcPcLLEOcWPNHEQF6h4SUUgKAdOlmNviqvgFNsBlY_hW3EoZw6WpdmZ2dUMQkeUjCmhxclyHPsQx4zQKgGcVGQLjagoRZbzIt9GIyJEkZVlJXbRXghLQsiEsWqEvh88GKuj7RxWzqSn2nWwAXcN9rBqlQZVt4CD9moFHn-C8sMstL33axxeLbQGzy_usHXYgAuJmnzWeOG73plTfI61GsDYJzAJn_rYuQW-vp3hF-UW8Qvwo_1IzlPfhWDTaPq7cN47B-0B2mlUG-Dw799Hz1eX8-lNNru_vp2ezzLNmYgZE4KWFeGiyVkDWotCm3pSNJRToKJpCBM0p5CSqmpQeaV4aRQXZlKbmtFc8310vPFd-e69hxDlsut9yiJIxjkhLGUqEottWHq41UMjV96-Kb-WlMihB7mUQw9y6EFuekiis40I0v0fFrwM2oLTKXYPOkrT2f_kP0DaksE</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Tang, Shao-Hui</creator><creator>Zhang, Xiao-Ping</creator><creator>Liu, Quan-Sheng</creator><creator>Chen, Peng</creator><creator>Sun, Xu-Tao</creator><creator>Sun, Lei</creator><creator>Dai, Yang</creator><creator>Chen, Song-Tao</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>202001</creationdate><title>Prediction and analysis of replaceable scraper wear of slurry shield TBM in dense sandy ground: A case study of Sutong GIL Yangtze River Crossing Cable Tunnel</title><author>Tang, Shao-Hui ; Zhang, Xiao-Ping ; Liu, Quan-Sheng ; Chen, Peng ; Sun, Xu-Tao ; Sun, Lei ; Dai, Yang ; Chen, Song-Tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-288179038f42fecc86cdb56f131e18ff028141e0169bea49a37da38d5bdb214c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Boring machines</topic><topic>Civil engineering</topic><topic>Civil engineers</topic><topic>Coefficients</topic><topic>Cutting tool wear</topic><topic>Cutting tools</topic><topic>Cutting wear</topic><topic>Dense sandy ground</topic><topic>Empirical analysis</topic><topic>Empirical prognosis model</topic><topic>Inspection</topic><topic>Maintenance</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Slurries</topic><topic>Slurry shield TBM</topic><topic>Stratigraphy</topic><topic>Tool wear</topic><topic>Tunnels</topic><topic>Underground construction</topic><topic>Wear coefficient</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Shao-Hui</creatorcontrib><creatorcontrib>Zhang, Xiao-Ping</creatorcontrib><creatorcontrib>Liu, Quan-Sheng</creatorcontrib><creatorcontrib>Chen, Peng</creatorcontrib><creatorcontrib>Sun, Xu-Tao</creatorcontrib><creatorcontrib>Sun, Lei</creatorcontrib><creatorcontrib>Dai, Yang</creatorcontrib><creatorcontrib>Chen, Song-Tao</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Tunnelling and underground space technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Shao-Hui</au><au>Zhang, Xiao-Ping</au><au>Liu, Quan-Sheng</au><au>Chen, Peng</au><au>Sun, Xu-Tao</au><au>Sun, Lei</au><au>Dai, Yang</au><au>Chen, Song-Tao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction and analysis of replaceable scraper wear of slurry shield TBM in dense sandy ground: A case study of Sutong GIL Yangtze River Crossing Cable Tunnel</atitle><jtitle>Tunnelling and underground space technology</jtitle><date>2020-01</date><risdate>2020</risdate><volume>95</volume><spage>103090</spage><pages>103090-</pages><artnum>103090</artnum><issn>0886-7798</issn><eissn>1878-4364</eissn><abstract>Prediction and analysis of cutting tool wear in dense sandy ground is important for improving the working performance of slurry shield TBM, especially for long-distance cross-river tunnel. Appropriate prognosis model can not only improve the construction efficiency, but also avoid the risk from cutterhead inspection and tool maintenance which are difficult, time-consuming but necessary procedures. Although several prognosis models have been utilized for estimating cutting tool wear, these models have inherent mismatches with actual geological conditions of tunnel projects. In order to promote the predictability of cutterhead inspection and tool maintenance, empirical prognosis model suggested by the Japanese Society of Civil Engineers (JSCE) has been improved by proposing a new method for the calculation of the wear coefficient in heterogeneous ground. Compared with initial model, the improved model takes into account the influence of stratigraphic change along the tunnel alignment on the wear coefficient. Hence, it is more applicable and accurate. A case study on the prediction and analysis of replaceable scraper wear in dense sandy ground at Sutong GIL Yangtze River Crossing Cable Tunnel has been carried out by using the improved model. The predicted value is comparable with the actual value in terms of wear coefficient and wear extent.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.tust.2019.103090</doi></addata></record> |
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subjects | Boring machines Civil engineering Civil engineers Coefficients Cutting tool wear Cutting tools Cutting wear Dense sandy ground Empirical analysis Empirical prognosis model Inspection Maintenance Predictions Prognosis Slurries Slurry shield TBM Stratigraphy Tool wear Tunnels Underground construction Wear coefficient |
title | Prediction and analysis of replaceable scraper wear of slurry shield TBM in dense sandy ground: A case study of Sutong GIL Yangtze River Crossing Cable Tunnel |
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