Notes
Slide Show
Outline
1
Fire Suppression Modeling Applied to Shipboard Design

Session 3
2
Introduction
  • Purpose of fire suppression modeling
    • Assist in optimizing the suppression design
    • Eliminate unsuitable suppression design prior to testing
    • Reduce the number of tests required to validate suppression design
  • Goals of fire suppression modeling:
    • Predict shipboard compartment temperature conditions
    • Predict suppression impact on fire


3
Fire Suppression System Model
  • FDS – Fire Dynamics Simulator Version 3.0
    • Resolution of fluid flows expected to provide suppression system insight
    • CFD model developed by NIST for low speed, thermally driven fluid flow
    • Large Eddy Simulation method
    • Simulates water droplet trajectories, evaporation, and radiation attenuation
    • Droplets transfer momentum to space
4
Methodology
  • Validate that FDS can predict the compartment temperature when fire is not suppressed
  • Validate that FDS can simulate a water mist system
  • Validate that FDS can predict the compartment temperature when fire is suppressed with mist


5
Other Research Results
  • FDS has been compared with test data involving sprinkler systems [McGrattan et al., NISTIR 6196, 1998]
    • 37-m by 37-m by 15-m test space
    • Heptane spray fire nominally 4 – 6 MW
    • FDS found to predict the number of sprinklers actuated and the compartment temperature
    • FDS was not able to predict when the fire was extinguished by sprinklers

6
NISTIR Sprinkler
Suppression Results
7
Compartment Fire Simulations – No Fire Suppression
  • FDS validated using indirect cooling fire tests conducted in June, 02. [Luers et al., NRL Letter Report Serial 6180/0563, 2002]
    • Space 25-ft by 34-ft by 11-ft high
    • Single opening 7.5-ft by 6-ft tall
    • Steel bulkhead and deck
    • Heptane spray-pool fire

8
Results - Fire Simulations without Fire Suppression
  • Average thermocouple tree data – measured versus calculated
9
Results – Fire Simulations without Fire Suppression
10
Mist Fire Suppression System Simulations – No Fire
  • Nozzles:
    • Nozzle A – High pressure (1,000-psi)
    • Nozzle B – High pressure (1,000-psi)
    • Nozzle C – Low pressure (150-psi)

  • Key parameters:
    • Drop mass distribution – Rossin-Rammler
    • Operating pressure/K-factor
    • Spray angle

11
Results (Mist Fire Suppression System Simulations – No Fire
  • Nozzles tested in 30-ft by 30-ft by 9-ft space
  • Drop distribution measured
  • Conditions in space qualitatively assessed
    • Mist transit time across room
    • Spray distance
    • Mist-air flow pattern
12
Results (Mist Fire Suppression System Simulations – No Fire)
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Results (Mist Fire Suppression System Simulations – No Fire)
14
Mist Fire Suppression System - Modeling Validation
  • Indirect cooling fire tests using a water mist fire suppression system conducted 6/02
    [Luers et al., NRL Letter Report Serial 6180/0563, 2002]
    • Mist nozzles types included high and low pressure
    • Nozzle location and number were varied
    • Fire size and location was varied
    • Ventilation configuration was constant for the tests used in this validation

15
FDS Simulation – Compartment Geometry
16
Indirect Cooling Fire Test Simulations – Results
  • Compartment Temperature Predictions with Mist Fire Suppression System: Thermocouple Trees
17
Indirect Cooling Fire Test Simulations – Results
  • Compartment Temperature Predictions with Mist Fire Suppression System: Average Temperature


18
Indirect Cooling Fire Test Simulations – Results
  • Compartment Temperature Predictions with Mist Fire Suppression System: Upper Layer Temperature (18-inches Beneath OH Deck)


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Indirect Cooling Fire Test Simulations – Results
  • Calculated Mist Fire Suppression System Impact in Space – Transient Average Temperature
20
Indirect Cooling Fire Test Simulations – Results
  • Calculated Suppression System Impact in Space – Transient Average Temperature
21
Indirect Cooling Fire Test Simulations – Fire Extinguishment Prediction
22
Conclusions
  • Temperature calculations
    • FDS predicted the compartment temperature well in some cases
    • FDS did not predict the compartment temperature well in other cases
    • FDS was fair at predicted the average temperature
    • FDS bulkhead temperature predictions were in general agreement with test data

23
Conclusions
  • Suppression System Impact on Fire
    • FDS was not able to predict fire extinguishment or suppression
    • Modifications to combustion model may be necessary