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Transcript of Effects of FDS mesh - c.ymcdn.comc.ymcdn.com/sites/ · Effects of FDS mesh ... Non dimensional...
![Page 1: Effects of FDS mesh - c.ymcdn.comc.ymcdn.com/sites/ · Effects of FDS mesh ... Non dimensional parameters within validation ranges ... Data analysis and correlation to fire dynamics](https://reader033.fdocuments.in/reader033/viewer/2022050917/5add61457f8b9a595f8cc6ab/html5/thumbnails/1.jpg)
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Effects of FDS mesh resolution on growth phase
smoke production
Haavard Boehmer, P.E.
Jason Floyd, PhD
Michael Ferreira, P.E.
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Overview
• Practical smoke control configuration
• Different cell sizes
• Different fire growth methods
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Overview
• Series of simple FDS v6.2 simulations− Cell size (7.5 – 30 cm [3 – 12 in.])− Fire growth mechanism
• Evaluated output in growth phase− HRR and smoke production (plume mass flow)
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Overview
Fire Dynamics Simulator (FDS)
• Developed, managed and release by NIST
• Open source software
• Extensive verification and validation
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Assumptions
• Fast, t-square fire growth
• 1,000 kW/m2 heat release rate per unit area
• 3,240 kW fire (divisible to all cell sizes)
• Well ventilated fire (domain sides open)
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FDS Domain
• 8 x 8 x 15 m domain
• Open sides
• Fire in center
• Concrete ceiling8 m
8 m
15 m
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Cell Size
• D*/δx evaluate fire size vs cell size
• Value of 5 – 10 recommended
Cell Size D*/δx
7.5 cm 20.3
15 cm 10.2
30 cm 5.1
𝐷𝐷∗ =�̇�𝑄
𝜌𝜌∞𝑐𝑐𝑝𝑝𝑇𝑇∞ 𝑔𝑔
𝛿𝛿x = cell size
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Fire Growth
• Three different types of fire growth:− Ramp: Fire grows across whole area− Spread: Fire spreads from center− Vent spread: Expanding overlapping vents
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Fire Growth: Ramp
• Fire occurs over the full area of the vent
• Unrealistically low HRRPUA
• Unrealistic plume shape and dynamics
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Fire Growth: Spreading Fire
• Fire starts in the center cell
• Constant HRRPUA (more realistic)
• Circular spread outward, per:
SPREAD_RATE =𝛼𝛼𝜋𝜋
1𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻
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Fire Growth: Spreading Fire
t1 t2
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Fire Growth: Vent Spread
• Overlapping vents in expanding circle
• Constant HRRPUA (more realistic)
• Complex setup
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Fire Growth: Vent Spread
t1 t2
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Fire Growth - Compared
Ramp Spread Vent Spread
At 2 min
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FDS Run MatrixRun Name Fire Growth Cell Size
Run 1Ramp
7.5 cmRun 2 15 cmRun 3 30 cmRun 4
Spread7.5 cm
Run 5 15 cmRun 6 30 cmRun 7
Vent Spread7.5 cm
Run 8 15 cmRun 9 30 cmSprk 1
Vent Spread7.5 cm
Sprk 2 15 cmSprk 3 30 cm
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Results
Three parameters were evaluated:
• HRR with different fire growth
• HRR with different cell sizes
• Mass flow with different cell sizes
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Results – HRR vs Growth
0
500
1,000
1,500
2,000
2,500
3,000
3,500
0 30 60 90 120 150 180 210 240 270 300 330 360
Heat
Rel
ease
Rat
e (k
W)
Time (s)
HRR With Three Growth Configurations (15 cm Cells)
Ramp
Spread
Ventspread
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Results – HRR vs Cells Size
0
500
1,000
1,500
2,000
2,500
3,000
3,500
0 30 60 90 120 150 180 210 240 270 300 330 360
Heat
Rel
ease
Rat
e (kW
)
Time (s)
HRR With Three Cell Sizes
7.5 cm
15 cm
30 cm
(Vent spread fire growth)
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HRR - Summary
• Ramp type yield small differences in HRR curve, likely insignificant.
• Different cell sizes gave no difference in HRR, as expected.
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0
10
20
30
40
50
60
70
0 30 60 90 120 150 180 210 240
Mas
s Fo
w (k
g/s)
Time (s)
Mass Flow at 12 m With Three Cell Sizes
7.5 cm
15 cm
30 cm
Results – Plume Mass Flow
(Vent spread fire growth)
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0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
0 30 60 90 120 150 180
Mas
s (kg
)
Time (s)
Total Mass Flow at 12 m With Three Cell Sizes
7.5 cm
15 cm
30 cm
Results – Plume Mass Flow
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Results – Plume Mass Flow
• Difference in total mass flow at 12 m after 2 minutes
7 cm > 15 cm 15 cm > 30 cm 7 cm > 30 cm
∆ mass-86.6 kg -277.0 kg -363.6 kg
-8% -27% -36%
∆ time-6.0 s -18.0 s -24.0 s
-5% -15% -20%
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Results – Plume Mass Flow
• Mass flow differences develop in first two minutes
• Lower resolution: − Reduced total mass to upper layer − Less conservative
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Results – Plume Mass Flow
• Going from 15 cm to 30 cm cells:− Decrease mass to upper layer by 27% − Decrease time to fill upper layer by 15%− Time difference not likely significant for
occupant egress considerations
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Sprinklers & Detectors
• Vent spread method, using three cell sizes
• Ceiling placed at 5 m above fire
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Sprinklers & Detectors
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Sprinklers & Detectors
0
10
20
30
40
50
60
70
0 30 60 90 120 150 180 210 240 270 300
Link T
empe
ratu
re (˚
C)
Time (s)
Sprinkler Temperature With Three Cell Sizes
7.5 cm15 cm30 cmT_Act
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Sprinklers & Detectors
Sprinkler activation times
• Coarser cells more conservative
Cell Size Activation Time
7.5 cm 196 s
15 cm 202 s
30 cm 244 s
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Conclusions – Ramp Type
• Little difference in HRR curve between three fire growth methods
• Insignificant for smoke control evaluations
• Vent spread most accurate, recommended
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Conclusions – Cell Size
• No significant difference in HRR curve
• Mass flow: potentially significant− 8% and 27% for each cell size step in this case− Smoke production reduced with coarser cells− Non-conservative results!
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Conclusions - Sprinklers
• Potentially significant impact
• Difference of 8 s and 46 s in this case
• Systematic study could further quantify
• Coarser cells is more conservative
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Questions
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The Design FireSelecting Fire Characteristics for a CFD
Model
Adam Edwards
David Stacy
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Presentation Overview
• Importance of Fire Characteristics
• Real Life Applications
• Fire Characteristic Analysis (FDS)
• Fire Scenario Considerations
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Fire Characteristics
• Frequency of Performance Based Designs (PBD) − Atrium Smoke Control− Smoke Protected Seating− Malls
• Limited full scale test data available
• Architectural and “pretty” interior design
• “Preset” values
Why is it Important Now?
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Gymnasium Design FireReal Life Application
“Noises Off-Backstage Set” by Keven T. Houle
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“London Boat Show 2013” by Andrew Havis
Convention Center Design FireReal Life Application
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Corporate Atrium Design FireReal Life Application
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FDS Analysis• A base geometry of an atrium was selected to evaluate the effect
various fire characteristics have on tenable conditions.
• Design parameters to be used as constants included: − The Exhaust Rate (60,000 CFM)− Natural Makeup Air (400 sq. ft.)− Design Fire Size (5,000 kW)
• Five different design fire characteristics were used as variables− 100% Wood (cellulose product)− 75% Wood/25% Polyurethane Foam− 50% Wood/50% Polyurethane Foam− 25% Wood/75% Polyurethane Foam− 100% Polyurethane Foam
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Atrium Geometry• 6 story circular atrium
with a clearstory
• Four exhaust fans (15,000 CFM each) located at top of clearstory
• Four 100 sq. ft. doors used as natural makeup air locations (spaced evenly around Level 1)
Geometry Rendering
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Atrium Geometry• Each floor is approximately
8,000 sq. ft. with a 700 sq. ft. center opening
• Two rooms on either side of opening at each level, which resist the passage of smoke (depicted as red areas)
Typical Floor Plan
Walkable Area
Open to Below
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Diagnostic Devices• Visibility, Carbon Monoxide,
Temperature slice files included 6 ft. above each level, as well as in –x and –y coordinates.
• Spot gas-phase devices of the same also included on each level.
• Visibility Conditions are of primary concern
Typical Device Layout
Rendering of Slices
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Fire Characteristics• Fuel load compositions consisted of various percentage (by mass) of
wood (pine) and flexible polyurethane foam (GM23).
Ref: 4th Edition of the SFPE Handbook, Table 3-4.16
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Fire Characteristics• Five different fuel load compositions were considered to
demonstrate how varying the fuel load effects tenability in the atrium.
Ref: 4th Edition of the SFPE Handbook, Table 3-4.16
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Visibility Slice ImagesTruncated >10m
100 Seconds
Run A
Run D
Run B
Run C
Run E
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Visibility Slice ImagesTruncated >10m
200 Seconds
Run A
Run D
Run B
Run C
Run E
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Visibility Slice ImagesTruncated >10m
300 Seconds
Run A
Run D
Run B
Run C
Run E
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Visibility Slice ImagesTruncated >10m
400 Seconds
Run A
Run D
Run B
Run C
Run E
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Visibility Slice ImagesTruncated >10m
500 Seconds
Run A
Run D
Run B
Run C
Run E
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Visibility Slice ImagesTruncated >10m
600 Seconds
Run A
Run D
Run B
Run C
Run E
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Level 6 Visibility (m) vs. Time (sec)
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Level 5 Visibility (m) vs. Time (sec)
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Level 4 Visibility (m) vs. Time (sec)
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Fire Considerations
• Typical, Severe, or Worse Case
• Uses of the Space
• Sprinklers
• Architectural Geometry
• Modern vs. Legacy
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Questions?
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Understanding Wall and Corner Effects Using the Fire
Dynamics Simulator
Francisco Joglar P.E., PhD
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The Problem Fires that are located near boundaries experience a
asymmetric air entrainment and a force imbalance on the plume: Tends to push the flames against the boundary, and May increase plume temperatures.
Existing guidance for implementation in performance based regulation is limited. Requires broad assumptions
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Existing Technical Approach Fires adjacent to walls or corners are
treated with the “Image” or “Mirror”.
The fire location factor parameter represents the number of reflections (symmetry) necessary to match the configuration to an open configuration.
Fires within 2-3 ft of the wall or corner are considered to be affected by the wall(s).
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Existing Experimental Data FM/SNL
Wall and corner results used in validation exercises, large fires (500-2000 kW)
Results include room heat up effects
Hasemi and Tokunaga Doubling the heat release rate as
outlined in the image method resulted in an overestimation of the flame height on the order of 30%
− Smaller fires (~60kW)
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Technical Approach
Simulations for wall and corner configurations in FDS Currently 95 simulations evaluated Various heat release rates Various fire diameters Various distances from wall and corners Non dimensional parameters within validation ranges Additional verification and sensitivity cases as necessary
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Technical Approach
Data analysis and correlation to fire dynamics key parameters Use Heskestad’s correlation to the plume temperature Compare results to Heskestad’s correlation and solve for the
fire location factor Correlate the fire location factor to key non dimensional
parameters
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The Experimental Matrix• Heat Release Rate, Q
− Relevant range of fire sizes for fire PRA
• Distance from Wall Surface, L− Demonstrate the effect of various distances
• Fire Diameter, D− Evaluate the sensitivity of the result to varying diameter
• Height above Fire Base, H− The relevant parameter for plume temperature
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FDS Simulations Configuration 6 m x 6 m x 6 m Concrete walls, floor Open ceiling and remaining sides
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Open Configuration No walls
Used as a baseline or control simulation for comparison of results
5 simulations performed, one for each heat release rate considered
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Wall Configuration Fire near one wall
Fire placed at various distances from the wall
With current guidance, a value of 2 location factor for fires near a wall is recommended
39 total simulations performed
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Corner Configuration Fire near two walls
Fire placed at various distances from the corner
With current guidance, a value of 4 location factor for fires near a corner is recommended
44 total simulations performed
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Results
∞
Results for fire location factor (kF)
Only fires very near the corner are affected by the corner (higher temperatures)
The effect decreases rapidly as the fire is moved away from the corner.
No apparent effect on temperatures from single wall surface.
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
0 1 2 3 4 5 6 7k F
Distance from Wall Surface (ft.)
Corner Results Wall Results Open Results
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Results – Wall Configuration
• Normalized by L/D*
• Different Fire Sizes Shown
• There is no apparent difference between an open configuration and a wall configuration
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0 1 2 3 4 5 6 7 8
k F
L/D*
40 kW 78 kW 250 kW 500 kW 1000 kW Base
∞
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Updated Implementation - Wall All wall configurations can be
treated as an open plume.
(kF = 1.0)
This has large implications for Fire PRA: Objects adjacent to walls can be
treated identically with objects in the open (reduced complexity)
The ZOI is reduced when the location factor is 1.0 relative to 2.0 (reduced risk) 0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
0 0.5 1 1.5 2
k F
Distance from wall (m)
MeanLower Model UncertaintyUpper Model UncertaintyLocation Factor, kF=1
∞
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Results – Corner Configuration• Normalized by L/D*
• Different Fire Sizes Shown
• There is a significant impact associated with fires very near corners
• The average result is very near the recommended value of 4 in the corner
• The impact of the corner disappears at approximately one fire diameter of separation from the corner
0
1
2
3
4
5
6
7
0 2 4 6 8
kF
L/D*
40 kW 78 kW 250 kW 500 kW 1000 kW Base
∞
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Updated Implementation - Corner Ignition sources within 0.3 m
(1ft) of a corner should be treated with a location factor of 4.
Ignition sources between 0.3 –0.6 m (1 – 2 ft) of a corner should be treated with a location factor of 2.
All other ignition sources can be treated as an open plume. 0
1
2
3
4
5
6
7
0 0.5 1 1.5 2
k F
Distance from corner (m)
Lower Model Uncertainty MeanUpper Model Uncertainty Location Factor, kF=4Location Factor, kF=2 Location Factor, kF=1
∞
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Conclusions Explored effects of wall and corner locations on fire plume
temperatures A single wall does not increase the plume temperature or ZOI A fire must be very near the corner in order for the plume temperature or
ZOI to increase The analysis is not sensitive to fire HRR, diameter, or height above the fire
Implications for future implementation. Fewer ignition sources require special treatment for wall or corner effects
(reduced complexity) Overall, the location factor can be reduced relative to existing guidance
(reduced risk)
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Thank You National Fire Protection Association (NFPA)
For Your Sponsorship
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