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TuFT: Tunnel Fire Tools - Teknisk dokumentation

Author

Summary, in English

Within the Swedish research project Rescue tactics and methodology during fires in underground facilities, a simple decision support tool has been developed. The tool can, for example, aid decision makers involved in the early phase of road and rail tunnel fire risk assessments. The tool has been developed at Lund University and has been termed TuFT, which is an abbreviation for Tunnel Fire Tools. TuFT can be described as a very simple computer program, developed in Java, which has the capability to perform calculations of tunnel fire dynamic properties for a specified tunnel fire. In addition, this information can be used to perform assessments of evacuation possibilities as well as rescue operation possibilities for the same tunnel fire scenario. In this report, which has been written in the form of a technical documentation, the basic calculation principles of TuFT are presented. This means that the underlying models and equations building up TuFT are presented and described. In addition, a user manual, a number of simulation examples and the programming code are included in appendices to the report.



The purpose of this report is to highlight the limitations of TuFT by going through the technical principles of the calculations done in TuFT. The purpose is also to explain how the model can and should be used in order to perform well. The goal is that TuFT, together with this report, should be able to use by both fire protection engineers involved with fire safety design of road and rail tunnels as well as decision makers employed within the fire rescue services. The report is written for TuFT version 14.10.22.1.

Publishing year

2014

Language

Swedish

Document type

Report

Publisher

Lund University

Topic

  • Building Technologies

Keywords

  • Tunnel
  • branddynamik
  • utrymning
  • räddningsinsats
  • modellering
  • beräkning

Status

Published

Report number

3184

Research group

  • Evacuation

ISBN/ISSN/Other

  • ISSN: 1402-3504