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The time and cost prediction of tunnel boring machine in tunnelling

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Wuhan University Journal of Natural Sciences

Abstract

Making use of microsoft visual studio, net platform, the assistant decision-making system of tunnel boring machine in tunnelling has been built to predict the time and cost. Computation methods of the performance parameters have been discussed. New time and cost prediction models have been depicted. The multivariate linear regression has been used to make the parameters more precise, which are the key factor to affect the prediction near to the reality.

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Authors and Affiliations

  1. School of Power and Mechanical Engineering, Wuhan University, 430072, Wuhan, Hubei, China

    Wu Shijing, Qian Bo & Gong Zhibo

Authors
  1. Wu Shijing
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  2. Qian Bo
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  3. Gong Zhibo
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Additional information

Foundation item: Supported by the Project of National Key Technology and Equipment (ZZ02-03-03-03-07)

Biography: WU Shijing (1963-), male, Professor, research direction: equipments management engineering, state monitoring and malfunction diagnostics of machine and electronic equipments.

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Shijing, W., Bo, Q. & Zhibo, G. The time and cost prediction of tunnel boring machine in tunnelling. Wuhan Univ. J. Nat. Sci. 11, 385–388 (2006). https://doi.org/10.1007/BF02832128

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  • DOI: https://doi.org/10.1007/BF02832128

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