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CARLETON Design Fires for Buildings
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1DESIGN FIRES FOR COMMERCIAL PREMISES
Dr. Ehab Zalok
Department of Civil and Environmental EngineeringCarleton University
CIB-W014 Fire, Ottawa, 2008 2/24
Background
Codes are moving from traditionally prescriptive building codes towards performance-based codes. Canada: NBC05 and NFC05
Increase in the use of engineering solutions and approaches in the design of fire safety in buildings.
Performance-based designs are done by considering how the building and its fire protection systems perform in the event of a fire.
Building performance is evaluated following a fire hazard analysis procedure.
2CIB-W014 Fire, Ottawa, 2008 3/24
Engineering ApproachPerformancebased Fire Protection
Define project scope
Identify goals
Define stakeholder and design objectives
Develop performance criteria
Develop design fire scenarios
Develop trial designs
Evaluate trial designs
Selected design meets performance criteria?
Select the final design
Prepare design documentation
Performancebased design report
Specification, drawings, and operational and maintenance manual
Modify design or objectives
Develop fire protection engineering design brief
Yes
No
Engineering flowchart of Performancebased Fire Protection SFPE 2000.
CIB-W014 Fire, Ottawa, 2008 4/24
Performancebased Fire ProtectionChallenges - Opportunities
Demands a better understanding of the fire hazards of materials and the dynamics of design fires.
Quantitatively measure fundamental properties to evaluate the expected performance of a material, product, or assembly Data could be used with appropriate analytical or computational
models
Require accurate calculations methods to justify the performance to the authority having jurisdiction (AHJ)
Data for the fire properties can be obtained from New or Modified standard test methods Index-based, pass-fail fire test methods (prescriptive-based) Performance (performance-based)
3CIB-W014 Fire, Ottawa, 2008 5/24
Fire Scenarios and Design Fires
Fire hazard analysis requires the identification of: Fire scenarios that may occur in the building (Qualitative) Design fires that should be considered (Quantitative)
Design fires Fire Resistance Tests
CAN/ULC S101 & ASTM E119 & ISO 834-1
t-squared fires 1
Design fire curves Ignition growth flashover - fully developed - decay
2)( ittHRR =
CIB-W014 Fire, Ottawa, 2008 6/24
Process for Developing Design Fires
Identification of design fires Fire loads Type of combustibles Arrangement of combustibles Building characteristics
Quantification of design fires Heat release rate (HRR) Production rate of toxic gases
1. Fire load surveys of real buildings
2. Literature3. Statistics
1. Testing2. Computer modeling
4CIB-W014 Fire, Ottawa, 2008 7/24
(1) Design Fires ProjectObjectives
Develop appropriate design fires representing fires in commercial buildings.
1. Define fire loads and fuel packages representing the types of combustibles in commercial buildings.
2. Produce experimental data showing the burning characteristics of the fuel packages.
3. Develop input data files to be used in fire models (FDS) to represent the fuel packages in commercial premises.
4. Use the input data files developed in Step 3 to model the burning characteristics in real-size stores.
CIB-W014 Fire, Ottawa, 2008 8/24
Research Methods
Assessment of the Fire Load(Fire load survey+literature+Statistics)
Design fuel Packages
Conduct Phase I tests, ISO room Phase I modeling (FDS)
Select fuel Packages for Phase II
Conduct Phase II tests,Post-flashover
Define appropriate design fires(HRR, hot layer temperature, and CO and CO2 production rates)
Phase II modeling (FDS)
Define appropriate input file in FDS to predict fire characteristics in real-size stores
Predict burning characteristics
Predict burning characteristics
No
Yes
No
Yes
5CIB-W014 Fire, Ottawa, 2008 9/24
Discrete FLD Values and PDF of the Lognormal Distribution
2)ln(21
21)(
=x
ex
xf
= population mean = standard deviation
iciihmkQ =
CIB-W014 Fire, Ottawa, 2008 10/24
Mean (), 95th percentile (-)
Combustibles Contribution to the FLD
7 7
47
96
18
8.3
60
4141
59
0
10
20
30
40
50
60
70
80
90
100
Textiles Plastics Wood/Paper Food Misc.
% C
ontr
ibut
ion
6CIB-W014 Fire, Ottawa, 2008 11/24
Fuel Packages Used in Design Fires for Medium/Large-Scale Tests
Fast FoodShoe storeClothing storeClothing store
BookstoreToy StoreStorage areaComputer store
CIB-W014 Fire, Ottawa, 2008 12/24
Fuel Packages Used in Design Fires for Medium/Large-Scale Tests
Each fuel package (1.0 m2) represents the fire load density, method of display, and combustible products in the proportions determined in the survey
% of fire load Test Title ID FLD
(MJ/m2)Textiles Plastics Wood/
paper Rubber/ leather
Food products
Computer store CMP-I 812 3.08 50.6 46.3 0.00 0.00 Storage area SA-I 2320 5.60 31.1 49.1 8.50 5.70 Clothing store CLS-I 661 55.0 6.00 37.0 2.00 0.00 Clothing store CLW-I 661 23.0 1.00 76.0 0.00 0.00 Clothing store CLC-I 661 86.0 2.00 12.0 0.00 0.00 Toy store TOY-I 1223 6.59 18.6 74.8 0.00 0.00 Shoe store SHO-I 4900 1.00 0.00 34.0 65.0 0.00 Bookstore BK-I 5305 0.40 0.00 99.6 0.00 0.00 Fast-food outlet FF-I 881 0.30 19.3 38.9 0.00 41.5
7CIB-W014 Fire, Ottawa, 2008 13/24
Experimental Set-up
CIB-W014 Fire, Ottawa, 2008 14/24
Heat Release per Unit Mass of Oxygen
Constant net amount of heat is released per unit mass of oxygen consumed for complete combustion (Thornton 1917)
Heat released has a value of 13.1 MJ/kg of O2 Organic solids/liquids and gases (Huggett 1980)
Example: hexane (complete combustion):
Oxygen Depletion Method (Janssens 1991)C6H14 + 9.5(O2 + 3.76N2) 6CO2 + 7H2O + 35.72N2
oo&& AOOH
a
OeAO
ACO
CO MMmEEEQ
22
2
2
)1()1(12
1)( +
=
8CIB-W014 Fire, Ottawa, 2008 15/24
Heat Release Rate (HRR)
0
500
1000
1500
2000
2500
3000
0 600 1200 1800 2400 3000Time (s)
Hea
t Rel
ease
Rat
e (K
W)
BK-IICLC-IICMP-IIFF-IISA-IISHO-IITOY-IISlow t-squaredMedium t-squaredFast t-squared
Heat release data
Test ID Pea
k (k
W)
Tim
e1 (M
in)
Gro
wth
rate
CMP-II 2475 4:10 M-F SA-II 2385 2:45 F CLC-II 2660 3:30 M-F TOY-II 2570 4:15 F SHO-II 2555 4:00 M-F BK-II 2375 2:50 S-M FF-II 2700 6:15 S-M
CIB-W014 Fire, Ottawa, 2008 16/24
CO & CO2
CO production rates (mg/kJ) CO2 production rates (mg/kJ)
0
2
4
6
8
10
12
14
0 600 1200 1800 2400 3000Time (s)
CO
Pro
duct
ion
(mg/
kJ)
BK-II CLC-II CMP-II FF-IISA-II SHO-II TOY-II
0
20
40
60
80
100
120
140
0 600 1200 1800 2400 3000Time (s)
CO
2 Pro
duct
ion
(mg/
kJ)
BK-II CLC-II CMP-II FF-IISA-II SHO-II TOY-II
Growth / fuel-controlled flaming conditions (early decay), lowest of all phases.
Ventilation-controlled, highest of all phases. (peak = 2-4 times the average)
Smouldering > growth / fuel-controlled flaming conditions(combustion occurring at low temperature)
Visibility and Tenability limits
9CIB-W014 Fire, Ottawa, 2008 17/24
Comparisons Between One and Two Packages (Experiments SA-I and SA-II)
0
500
1000
1500
2000
2500
3000
0 600 1200 1800 2400 3000Time (s)
Hea
t Rel
ease
Rat
e (K
W)
SA-II
SA-I
0
2
4
6
8
10
12
14
0 600 1200 1800 2400 3000Time (s)
CO
Pro
duct
ion
(mg/
kJ)
SA-II
SA-I
0
20
40
60
80
100
120
140
0 600 1200 1800 2400 3000Time (s)
CO
2 Pro
duct
ion
(mg/
kJ)
SA-II
SA-I
HRR (KW)
CO2 productionCO production
CIB-W014 Fire, Ottawa, 2008 18/24
Modeling Objectives
Develop a simple input data file that generates the same fire characteristics as in Phases I and II, in details:
1. Model the fuel packages(material properties and ideal stoichiometric coefficients)
2. Simulate the burning characteristics of Phase I and II tests (HRR, hot layer temperature, CO and CO2 total production )
3. Assess the simulation capability to predict the burning characteristic of real-size stores
Modeling was conducted using the (CFD) model,Fire Dynamics Simulator (FDS) by (NIST)
10
CIB-W014 Fire, Ottawa, 2008 19/24
Modelling & Simulation
Challenges: Grid resolution Material density (kg/m3) Heat of vaporization (kJ/kg) Heat of combustion (kJ/kg) Ignition temperature (C)
CIB-W014 Fire, Ottawa, 2008 20/24
Sensitivity Analysis
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 600 1200 1800Time (s)
Hea
t Rel
ease
Rat
e (K
W)
PMMA, original
PMMA, 25% decrease in density
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 600 1200 1800Time (s)
Hea
t Rel
ease
Rat
e (K
W)
PMMA, original
PMMA, 25% decrease in HoV
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 600 1200 1800Time (s)
Hea
t Rel
ease
Rat
e (K
W)
PMMA, original
PMMA, 25% decrease in HC
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 600 1200 1800Time (s)
Hea
t Rel
ease
Rat
e (K
W)
PMMA, original
PMMA, 25% decrease inignition temperature
11
CIB-W014 Fire, Ottawa, 2008 21/24
Modeling vs. Experimental Results
0
500
1000
1500
2000
2500
3000
0 600 1200 1800
Time (s)
Heat
Rel
ease
Rat
e (K
W)
FF-IIFDS-IIFF-IFDS-I
Heat release rate (kW)
0
200
400
600
800
1000
1200
0 600 1200 1800Time (s)
TC T
empe
ratu
re @
2.1
-m h
igh
(o C) FF-II
FDS-II
Hot layer temperature (C)
CIB-W014 Fire, Ottawa, 2008 22/24
Modelling vs. Experimental Results(Total CO and CO2 produced)
G a s d a t a
T e s t T e s t I D
Tota
l CO
(kg)
Tota
l CO
2 (kg
)
C o m p u t e r s t o r e C M P - I I 6 . 0 9 1 0 9 . 3 0 F D S - I I 6 . 4 5 1 1 2 . 3 0 S t o r a g e a r e a S A -I I 5 . 7 4 2 3 0 . 3 0 F D S - I I 6 . 1 2 2 3 9 . 4 1 C lo t h in g s t o r e C L C - I I 2 . 1 1 1 0 1 . 8 0 F D S - I I 1 . 9 1 1 0 7 . 1 8 T o y s t o r e T O Y -I I 4 . 0 4 1 7 4 . 7 0 F D S - I I 4 . 4 5 1 8 0 . 7 9 S h o e s t o r e S H O - I I 8 . 0 5 3 1 1 . 2 0 F D S - I I 8 . 4 9 3 1 5 . 6 1 B o o k s t o r e B K -I I 6 . 0 1 4 0 9 . 4 0 F D S - I I 6 . 4 0 4 1 5 . 8 0
12
CIB-W014 Fire, Ottawa, 2008 23/24
Fire in a 10 x 10 x 2.6-m Storewith two 6 x 2.6-m doors
Modelling and simulation provide a cost-effective mean to examine how the system works
CIB-W014 Fire, Ottawa, 2008 24/24
Modeling 10 x 10-m Toy Store
0
200
400
600
800
1000
1200
1400
0 600 1200 1800 2400 3000Time (s)
Hot
laye
r tem
pera
ture
( oC
)
Hot layer temperature (C) Heat release rate (MW)
0
10
20
30
40
50
60
0 600 1200 1800 2400 3000Time (s)
Hea
t rel
ease
rate
(MW
)
Theoretical peak 51.5 (MW)
Temperature ranges from 700 to 1200C in an enclosure during the fully-developed fire (Karlsson and Quintiere,2000)
Absolute peak HRR (MW) oo HA518.1=