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Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour Phase-I Tunnel

Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour... ReferencesAbu Zeid M.M., 1991. Lithostratigraphy and framework of sedimentation of the subsurface Paleogene succession in northern Qatar. Arabian Gulf. N. Jb. Geol. Paliaiont. Mh.: 191-204.Avunduk E. Copur H., Bilgin N., Balci C., Tumac D., 2012. Effect of Some Geotechnical Properties on TBM Performance.Eurock 2012 ISRM International Symposium, 28-30 May 2012, Stockholm, Sweden.Barton N., 2000. TBM Tunneling In Jointed and Faulted Rock. Balkema, Rotterdam, p. 173.Benato A., Oreste P., 2015. Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics. Int. J. Rock Mech. Min. Sci. 74, 119-127.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000349983700013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3Bieniawski Z.T., Celada B., Galera J.M., 2007. TBM excavability: prediction and machine-rock interaction. In: Proceedings, Rapid Excavation and Tunneling Conference, pp. 1118-1130.Breiman L., Friedman, J.H., Olshen, R.A., Stone, C.J., 1984. Classification and Regression Trees. Chapman & Hall/CRC.Bruland A., 1998. Prediction model for performance and costs. Norwegian TBM Tunnelling, Publication No. 11. Norwegian Tunnelling Society.Bruland A., 2014. The NTNU prediction model for performance. Norwegian Tunnelling Technology, Publication No. 23. Norwegian Tunnelling Society.Delisio A., Zhao J., 2014. A new model for TBM performance prediction in blocky rock conditions. Tunnel. Undergr. Space Technol. 43, 440-452.Gong Q.M., Zhao J., 2009. Development of a rock mass characteristics model for TBM penetration rate prediction. Int. J. Rock Mech. Mining. Sci. 46 (1), 8-18.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000263101100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1016/j.ijrmms.2008.03.003Hamidi J.K., Shahriar K., Rezai B., Rostami J., 2010. Performance prediction of hard rock TBM using rock mass rating (RMR) system. Tunn.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000278296900005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3Hassanpour J., Rostami J., Khamehchiyan M., Bruland A., Tavakoli H.R., 2010. TBM performance analysis in pyroclastic rocks, a case history of Karaj Water Conveyance Tunnel (KWCT). J. Rock Mech. Rock Eng. 4, 427-445.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000281783600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1007/s00603-009-0060-2Hassanpour J., Rostami J., Zhao J., 2011. A new hard rock TBM performance prediction model for project planning. Tunnel. Undergr. Space Technol. 26, 595-603.Jain P., Naithani A.K., Singh .TN., 2014. Performance characteristics of tunnel boring machine in basalt and pyroclastic rocks of Deccan traps - a case study. Int. J. Rock Mech. Geo. Eng. 6 (1), 36-47.10.1016/j.jrmge.2013.11.003LeBlanc J., 2008. A Fossil Hunting Guide to the Tertiary Formations of Qatar. Middle East. First Edition, March 2008. Maher J.A., 2017. Machine Learning Approach to Predicting and Maximizing Penetration Rates in EPB TBMs. https://src.acm.org, access 2017.NTNU, 1998. Report 1B-98 Hard Rock Tunnel Boring - Advance Rate and Cutter Wear. Department of Civil and Transport Engineering, Trondheim, Norway.Palmstrom A., 1995. RMi, a rock mass characterization system for rock engineering purposes. Chapter 7, Ph.D. thesis, Oslo University, Norway.Pathak A.K., Stypulkowski J.B, Bernardeau F.G., 2015. Super-vision of Engineering Geological Activities during Construction of Abu Hamour Surface and Ground Water Drainage Tunnel Phase-1 Doha, Qatar. [In:] InternationalConference on Engineering Geology in New Millennium at IIT, New Delhi 27-29 Oct 2015. Special Publication, J. of .EG. October 2015, pp. 467-486.Ramezanzadeh A., 2005. Performance analysis and Development of new models for performance prediction of hard rock TBMs in rock mass. Ph.D. thesis, INSA, Lyon, France.Rostami J., 1997. Development of a force estimation model for rock fragmentation with disccutters through theoretical modeling and physical measurement of crushed zone pressure, Ph.D. thesis, Colorado School of Mines, Golden, Colorado, USA, p. 249.Salimi A., Rostami J., Moormann C., Delisio A., 2016. Application of nonlinear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs. Tunn Undergr Space.Stypulkowski J.B., Siyam A.A.F.M., Bernardeau F.G., Al Kuwari N.G., 2013. Abu Hamour Drainage Tunnel. First TBM Mined Tunnel in Doha, Qatar. [In] The First Arabian Tunnelling Conference & Exhibition, Dubai, pp. 300-314.Stypulkowski J.B., Bernardeau F.G., Jakubowski J., 2017. Abu Hamour Tunnel Phase I the First TBM Tunnel in Qatar: The art of tunneling in a new world. [In:] Engineering Challenges for Sustainable Underground Use. GeoMEast 2017. Springer, Cham.Tajduś A., Cała M., Tajduś K., 2012. Geomechanics in underground construction : design and construction of tunnels (in Polish). AGH, Kraków.Tibco Software Inc., 2017. Statistica (data analysis software system), version 13.Yagiz S., 2008. Utilizing rock mass properties for predicting TBM performance in hard rock condition. Tunn. Undergr. Space Technol. 23 (3), 326-339. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Mining Sciences de Gruyter

Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour Phase-I Tunnel

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Publisher
de Gruyter
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© Archives of Mining Sciences
ISSN
1689-0469
eISSN
1689-0469
DOI
10.1515/amsc-2017-0057
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Abstract

ReferencesAbu Zeid M.M., 1991. Lithostratigraphy and framework of sedimentation of the subsurface Paleogene succession in northern Qatar. Arabian Gulf. N. Jb. Geol. Paliaiont. Mh.: 191-204.Avunduk E. Copur H., Bilgin N., Balci C., Tumac D., 2012. Effect of Some Geotechnical Properties on TBM Performance.Eurock 2012 ISRM International Symposium, 28-30 May 2012, Stockholm, Sweden.Barton N., 2000. TBM Tunneling In Jointed and Faulted Rock. Balkema, Rotterdam, p. 173.Benato A., Oreste P., 2015. Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics. Int. J. Rock Mech. Min. Sci. 74, 119-127.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000349983700013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3Bieniawski Z.T., Celada B., Galera J.M., 2007. TBM excavability: prediction and machine-rock interaction. In: Proceedings, Rapid Excavation and Tunneling Conference, pp. 1118-1130.Breiman L., Friedman, J.H., Olshen, R.A., Stone, C.J., 1984. Classification and Regression Trees. Chapman & Hall/CRC.Bruland A., 1998. Prediction model for performance and costs. Norwegian TBM Tunnelling, Publication No. 11. Norwegian Tunnelling Society.Bruland A., 2014. The NTNU prediction model for performance. Norwegian Tunnelling Technology, Publication No. 23. Norwegian Tunnelling Society.Delisio A., Zhao J., 2014. A new model for TBM performance prediction in blocky rock conditions. Tunnel. Undergr. Space Technol. 43, 440-452.Gong Q.M., Zhao J., 2009. Development of a rock mass characteristics model for TBM penetration rate prediction. Int. J. Rock Mech. Mining. Sci. 46 (1), 8-18.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000263101100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1016/j.ijrmms.2008.03.003Hamidi J.K., Shahriar K., Rezai B., Rostami J., 2010. Performance prediction of hard rock TBM using rock mass rating (RMR) system. Tunn.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000278296900005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3Hassanpour J., Rostami J., Khamehchiyan M., Bruland A., Tavakoli H.R., 2010. TBM performance analysis in pyroclastic rocks, a case history of Karaj Water Conveyance Tunnel (KWCT). J. Rock Mech. Rock Eng. 4, 427-445.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000281783600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f310.1007/s00603-009-0060-2Hassanpour J., Rostami J., Zhao J., 2011. A new hard rock TBM performance prediction model for project planning. Tunnel. Undergr. Space Technol. 26, 595-603.Jain P., Naithani A.K., Singh .TN., 2014. Performance characteristics of tunnel boring machine in basalt and pyroclastic rocks of Deccan traps - a case study. Int. J. Rock Mech. Geo. Eng. 6 (1), 36-47.10.1016/j.jrmge.2013.11.003LeBlanc J., 2008. A Fossil Hunting Guide to the Tertiary Formations of Qatar. Middle East. First Edition, March 2008. Maher J.A., 2017. Machine Learning Approach to Predicting and Maximizing Penetration Rates in EPB TBMs. https://src.acm.org, access 2017.NTNU, 1998. Report 1B-98 Hard Rock Tunnel Boring - Advance Rate and Cutter Wear. Department of Civil and Transport Engineering, Trondheim, Norway.Palmstrom A., 1995. RMi, a rock mass characterization system for rock engineering purposes. Chapter 7, Ph.D. thesis, Oslo University, Norway.Pathak A.K., Stypulkowski J.B, Bernardeau F.G., 2015. Super-vision of Engineering Geological Activities during Construction of Abu Hamour Surface and Ground Water Drainage Tunnel Phase-1 Doha, Qatar. [In:] InternationalConference on Engineering Geology in New Millennium at IIT, New Delhi 27-29 Oct 2015. Special Publication, J. of .EG. October 2015, pp. 467-486.Ramezanzadeh A., 2005. Performance analysis and Development of new models for performance prediction of hard rock TBMs in rock mass. Ph.D. thesis, INSA, Lyon, France.Rostami J., 1997. Development of a force estimation model for rock fragmentation with disccutters through theoretical modeling and physical measurement of crushed zone pressure, Ph.D. thesis, Colorado School of Mines, Golden, Colorado, USA, p. 249.Salimi A., Rostami J., Moormann C., Delisio A., 2016. Application of nonlinear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs. Tunn Undergr Space.Stypulkowski J.B., Siyam A.A.F.M., Bernardeau F.G., Al Kuwari N.G., 2013. Abu Hamour Drainage Tunnel. First TBM Mined Tunnel in Doha, Qatar. [In] The First Arabian Tunnelling Conference & Exhibition, Dubai, pp. 300-314.Stypulkowski J.B., Bernardeau F.G., Jakubowski J., 2017. Abu Hamour Tunnel Phase I the First TBM Tunnel in Qatar: The art of tunneling in a new world. [In:] Engineering Challenges for Sustainable Underground Use. GeoMEast 2017. Springer, Cham.Tajduś A., Cała M., Tajduś K., 2012. Geomechanics in underground construction : design and construction of tunnels (in Polish). AGH, Kraków.Tibco Software Inc., 2017. Statistica (data analysis software system), version 13.Yagiz S., 2008. Utilizing rock mass properties for predicting TBM performance in hard rock condition. Tunn. Undergr. Space Technol. 23 (3), 326-339.

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Archives of Mining Sciences – de Gruyter

Published: Dec 20, 2017

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