Construction Robots and Advanced Digital Technology Utilization to Improve the Productivity for Tunnel Boring in Infrastructure Projects
Abstract
Due to rapid growth in metro, rail, road, and hydropower projects, India will become the fastest-growing tunnel construction sector in the next five years. While tunnel construction began in India in the 19th century, little is known about the factors that influence tunnel efficiency and their effect on project completion. Time and cost overruns in large tunnelling schemes show this. The research looks at these aspects as well as the use of construction robotics and advanced digital technologies to improve TBM efficiency by designing and conducting a more effective tunnelling operation. The factors have been identified by extensive literature exploration in the current process, and a questionnaire will be sent to tunnelling experts to review the factors and their rated significance. The model will be tested using case studies of comparable type, and inference will be drawn. Contractors should predict the timeline and expense of tunnelling projects based on their productivity while bearing in mind the subjective impact of variables. Also, the factors that affect the use of construction robots and emerging technology to increase productivity.
References
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[2] Harris, “harris.” 2011.
[3] Tarkey P.J. & Byram J.E., “Tarkey.pdf.” 1991.
[4] Barton, “Rock mass characterisation and seismic measurements to assist in the design and execution.” 1996.
[5] G. Barla and S. Pelizza, “Tbm Tunnelling in Difficult Ground Conditions,” no. October, 1993.
[6] S. Yagiz, “A model for the prediction of tunnel boring machine performance,” Iaeg, no. October, pp. 1–10, 2006.
[7] R. K. Goel, “Evaluation of TBM performance in a Himalayan tunnel,” Proc. world Tunn. Congr., no. October, pp. 1522–1532, 2008.
[8] M. Y. Hegab and O. M. Salem, “Ranking of the Factors Affecting Productivity of Microtunneling Projects,” Syst. Eng., vol. 1, no. February, pp. 42–52, 2010.
[9] Thomas and mathews, “productivity of Construction projects.” 1986.
[10] S. P. . Dozzi and S. M. . AbouRizk, Productivity in Construction. 1993.
[11] H.-S. Park, S. R. Thomas, and R. L. Tucker, “Benchmarking of Construction Productivity,” J. Constr. Eng. Manag., vol. 131, no. 7, pp. 772–778, 2005.
[12] A. B. C. Chapman C.B, D.F. Cooper, “Model and Situation Specific or Methods: Risk Engineering Reliability Analysis of an Ing. Facility,” XIII- TIMS/LURO-III, vol. 13, no. 3, 1977.
[13] Charoenngam_C.Y. Yeh, “Charoenngam.pdf,” Int. J. Proj. Manag., pp. 29–37, 1999.
[14] HSE-Health Safety Executive, “Safety of New Austrian Tunnelling,” London, 1994.
[15] Kovari K and R. Fechtig and C. Amstad, “Experience with large diameter boring machines in Swtizerland,” in STUVA Conference, 1991.
[16] M. Sapigni, M. Berti, E. Bethaz, A. Busillo, and G. Cardone, “TBM performance estimation using rock mass classifications,” Int. J. Rock Mech. Min. Sci., vol. 39, no. 6, pp. 771–788, 2002.
[17] D. B. Consulting and D. Brox, “Mid_Month_Transaction.pdf,” vol. 334, no. August 2013, pp. 498–505, 2014.
[18] N. Efron and M. Read, “Analysing International Tunnel Costs,” An Interact. Qualif. Proj. Worcester Polytech. Inst., p. 96, 2012.
[19] S. Babendererde, E. Hoek, P. Marinos, and A. S. Cardoso, “Geological risk in the use of TBMs in heterogeneous rock masses-The case of ‘Metro do Porto’ and the measures adopted,” Geotech. Risks Rock Tunnels, no. April, pp. 1286–1329, 2004.
[20] Y. Kasap, S. Beyhan, and U. E. Karataş, “The effects of breakdown and delay times on TBM progress efficiency,” Acta Montan. Slovaca, vol. 18, no. 4, pp. 207–216, 2013.
[21] M. Spencer et al., “Tunnel Boring Machines,” IMIA Conf. Istanbul, 2009, vol. 60, no. 9, p. 38, 2009.
[22] Divya.R and S.Ramya, “Causes, Effects and Method of Minimizing Delays In Construction Projects,” Natl. Conf. Res. Adv. Commun. Comput. Electr. Sci. Struct., pp. 47–53, 2015.
[23] R. P. Lovat and P. Eng, “TBM Design Considerations: Selection of Earth Pressure Balance or Slurry Pressure Balance Tunnel Boring Machines,” Int. Symp. Util. Undergr. Sp. urban areas, pp. 6–7, 2006.
[24] V. K. Kanjlia, P. P. Wahi, and A. C. Gupta, “History of Tunnels in India,” Tunneling Assoc. India CBIP, no. 307, 2008.
[25] H. Evolution, “Tunnelling : Coming through the ages,” 2000.
[26] TAI (tunneling Association of India), “Tunnelling Association of India,” Press release, no. 4, 2015.
[27] A. R. Duhme and H. Ag, “A Review of Planning Methods for Logistics in TBM Tunneling 2 . Challenges in Jobsite Logistics,” 2015.
[28] A. Touran, “Probabilistic Model for Tunneling Project Using Markov Chain,” J. Constr. Eng. Manag., vol. 123, no. 4, pp. 444–449, 1997.
[29] G. . Salazar, “Simulation Model for Tunneling Through Difficult Ground Conditions.” Depattment of Civil Engineering,Worcester Polytechnic Institute, Worcester, Massachusetts., 1985.
[30] S. Bagherian, “Application of important factors in tunnel projects,” Res. J. Appl. Sci. Eng. Technol., vol. 6, no. 2, pp. 181–186, 2013.
[31] S. Kaharam, “Historical Evaluation of Full Face Tunnel Boring Machines (TBMs),” in Proceedings of the 2nd Symposium on Underground Excavations for Transportation, 2007, pp. 57–62.
[32] Haru Imam, “The Application of Analytical Techniques To Improve Mining And Tunneling Production,2020
Published
2021-06-01
How to Cite
IMAM, Haru.
Construction Robots and Advanced Digital Technology Utilization to Improve the Productivity for Tunnel Boring in Infrastructure Projects.
International Journal of Advanced Research in Technology and Innovation, [S.l.], v. 3, n. 2, p. 1-8, june 2021.
ISSN 2682-8324.
Available at: <https://myjms.mohe.gov.my/index.php/ijarti/article/view/13437>. Date accessed: 20 sep. 2024.
Section
Articles
