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Christian, J and Mir, S U (1987) Use of Integrated Microcomputer Package for Formwork Design. Journal of Construction Engineering and Management, 113(04), 603–10.

Haltenhoff, C E (1987) Construction Management Performance Under Dual Services Agreements. Journal of Construction Engineering and Management, 113(04), 640–7.

Ioannou, P G (1987) Geologic Prediction Model for Tunneling. Journal of Construction Engineering and Management, 113(04), 569–90.

Key, J M (1987) Earthmoving and Heavy Equipment. Journal of Construction Engineering and Management, 113(04), 611–22.

Kraiem, Z M and Diekmann, J E (1987) Concurrent Delays in Construction Projects. Journal of Construction Engineering and Management, 113(04), 591–602.

McQuillen, J L and Hicks, R G (1987) Construction of Rubber‐Modified Asphalt Pavements. Journal of Construction Engineering and Management, 113(04), 537–53.

Popescu, C (1987) Construction Engineering Graduate Education Survey. Journal of Construction Engineering and Management, 113(04), 664–8.

Tatum, C B (1987) Process of Innovation in Construction Firm. Journal of Construction Engineering and Management, 113(04), 648–63.

Thomas, H R and Yiakoumis, I (1987) Factor Model of Construction Productivity. Journal of Construction Engineering and Management, 113(04), 623–39.

Touran, A and Asai, T (1987) Simulation of Tunneling Operations. Journal of Construction Engineering and Management, 113(04), 554–68.

  • Type: Journal Article
  • Keywords: Simulation models; Sensitivity analysis; Tunneling;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1987)113:4(554)
  • Abstract:
    The objective of this paper is to predict the tunnel advance rate in the construction of a several‐mile‐long, small‐diameter (3–3.5 m) tunnel in soft rock. For this purpose, the CYCLONE simulation system is used. Several simulation models are developed to investigate the effect of different variables on the tunnel advance rate. At first the suitable tunneling method, including the tunnel support and material handling system, is selected by reviewing similar projects completed in recent years. Various cycle times and durations, e.g., TBM penetration rate and train travel time, are carefully calculated, based on previous tunneling jobs. After specifying the construction method and duration times, the developed simulation models are described. The impact of each major variable on the tunnel advance rate is studied by sensitivity analysis. These variables include the TBM penetration rate, the train travel time, the number of muck trains, the type of rock, and the rock standup time. Simulation models quantify the effect of each of these variables on the tunnel advance rate.