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Boudet, H S, Jayasundera, D C and Davis, J (2011) Drivers of Conflict in Developing Country Infrastructure Projects: Experience from the Water and Pipeline Sectors. Journal of Construction Engineering and Management, 137(07), 498–511.

Hermann, U H, Hasan, S, Al-Hussein, M and Bouferguene, A (2011) Innovative System for Off-the-Ground Rotation of Long Objects Using Mobile Cranes. Journal of Construction Engineering and Management, 137(07), 478–85.

Ikuma, L H, Nahmens, I and James, J (2011) Use of Safety and Lean Integrated Kaizen to Improve Performance in Modular Homebuilding. Journal of Construction Engineering and Management, 137(07), 551–60.

Lucko, G (2011) Optimizing Cash Flows for Linear Schedules Modeled with Singularity Functions by Simulated Annealing. Journal of Construction Engineering and Management, 137(07), 523–35.

Maravas, A and Pantouvakis, J (2011) Fuzzy Repetitive Scheduling Method for Projects with Repeating Activities. Journal of Construction Engineering and Management, 137(07), 561–4.

Wibowo, A and Kochendoerfer, B (2011) Selecting BOT/PPP Infrastructure Projects for Government Guarantee Portfolio under Conditions of Budget and Risk in the Indonesian Context. Journal of Construction Engineering and Management, 137(07), 512–22.

Xu, J and Zeng, Z (2011) Applying Optimal Control Model to Dynamic Equipment Allocation Problem: Case Study of Concrete-Faced Rockfill Dam Construction Project. Journal of Construction Engineering and Management, 137(07), 536–50.

Zetterlund, M, Norberg, T, Ericsson, L O and Rosén, L (2011) Framework for Value of Information Analysis in Rock Mass Characterization for Grouting Purposes. Journal of Construction Engineering and Management, 137(07), 486–97.

  • Type: Journal Article
  • Keywords: Bayesian analysis; Geological surveys; Tunneling; Grouting; Rock masses; Bayesian analysis; Geological surveys; Tunneling; Grouting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000265
  • Abstract:
    The observational method involves recurrent updating, and according to European standards, it is an optional method when geotechnical conditions are difficult to predict. A method for the application of value of information analysis in rock mass characterization for tunnels is demonstrated in a generic case of a feasibility study of a tunnel in hard rock. Two alternative grouting designs are analyzed to find the most suitable design for the geological conditions on site and whether information from investigations is of value in the decision-making process. The uncertainty in the grouting result is described by means of a beta distribution for each alternative design. The probabilities of different geological states are based on 200 stochastic simulations of the rock mass. It was found that value of information analysis contributes to good structure in geological surveys when the geology is difficult to predict and when repeated updating is necessary. The prescribed method is a tool to design well-motivated investigation programs where geotechnical value is weighed up against execution costs.