M J G ll T H i k A S R l J P i d F A Willi 1 UC San Diego, 2 - - PowerPoint PPT Presentation

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M J G ll T H i k A S R l J P i d F A Willi 1 UC San Diego, 2 - - PowerPoint PPT Presentation

M. J. Gollner ,1 , T. Hetrick 2 , A. S. Rangwala 2 , J. Perricone 3 , and F. A. Williams 1 M J G ll T H i k A S R l J P i d F A Willi 1 UC San Diego, 2 Worcester Polytechnic Institute Worcester Polytechnic Institute 3 Schirmer Engineering 1


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SLIDE 1

M J G ll T H i k A S R l J P i d F A Willi

  • M. J. Gollner,1, T. Hetrick2, A. S. Rangwala2, J. Perricone3, and F. A. Williams1

1 UC San Diego, 2 Worcester Polytechnic Institute

Worcester Polytechnic Institute

3 Schirmer Engineering

1

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SLIDE 2

Current Commodity Classification

Plastic G A C Group A‐C

Warehouse Commodity

Class I ‐IV Classify grouped Use large scale test Warehouse commodity (Carton, packaging, plastic) commodity into

  • ne of seven

hazard groups (Based on HRR) Use large‐scale test data to design fire protection system (NFPA 13) plastic) (Based on HRR)

2

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SLIDE 3

Current Commodity Classification

(

Current classification uses ranking scheme (Model is based

  • n commodity classification: Class I‐IV, Group A‐C Plastics)

according to the free‐burning heat‐release rate according to the free burning heat release rate

Ranking influenced by a number of flammability

parameters, most dimensional

Intermediate‐scale measurements generate this parameter The sprinkler industry prefers full‐scale fire tests as

validation, but they are expensive and seldom done1

1Zalosh, R. G., Industrial Fire Protection Engineering. John Wiley and Sons, 2003

3

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SLIDE 4

Recent Loss Case Example

2007 – Tupperware storage

2007 Tupperware storage warehouse fire1

15,392m2 warehouse burned for

24 hours – a total loss

Sprinklers met state & local

requirements including NFPA 13 requirements including NFPA 13 but the fire could not be extinguished once plastic became i l d

Warehouse fires pose significant risks to occupants, local environments, and responding fire personnel

involved

2007 – Furniture warehouse fire kills

9 firefighters in Charleston, SC.2

and responding fire personnel

(Photo: Georgetown Country Fire Dept. Hemingway, SC)

9 firefighters in Charleston, SC.

1The Problem with Big, NFPA Journal, March/April 2009 2Nine Career Fire Fighters Die in Rapid Fire Progression at Commercial Furniture Showroom

– South Carolina, Fire Fatality Investigation Report, NIOSH. 4

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SLIDE 5

O A f C ib i Our Area of Contribution

Large/Full Scale Current Research

Small Scale Testing

Intermediate Scale Testing (Proof of concept) Large/Full Scale Modeling (Proof of concept)

g Commodity type classification

p ) Cone Calorimeter testing Engineering Approach to Commodity Engineering Approach to Commodity Classification

5

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SLIDE 6

Commodity Fire: Stage 1 Commodity Fire: Stage 1 – Laminar Case

Boundary layer

Buoyant Plume B is a function of:

  • 1. Corrugated board

Combusting Plume Buoyant Plume

Plume Radiative + Convective Heat Transfer

Commodity

flame

Pyrolyzate Excess

′′

  • Pyrolysis Zone

Combusting Plume

Flame Radiative + Convective Heat Transfer

XF

(~ 20 to 25 cm Laminar

Y‐axis

F

m′′

d b d XP

( 0 to 5 cm aminar Flame Propagation)

  • Flame height <25 cm
  • Unrealistic in fire situation

Corrugated board

  • Unrealistic in fire situation
  • Study important because

provides physical understanding of the problem

6

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SLIDE 7

St 2 T b l t C

Boundary layer

Buoyant Plume

Plume Radiative + Convective Heat Transfer

Stage 2 – Turbulent Case

Combusting Plume

Flame Radiative +

B is a function of:

  • 1. Corrugated board
  • 2. Commodity pyrolysis vapor

Pyrolyzate Excess

Convective Heat Transfer

Commodity y py y p

F

m′′

  • Pyrolysis

Zone XP XF

(Turbulent flame height >25 cm)

flame Zone

  • Flame height >25 cm
  • Realistic fire situation

Y‐axis Corrugated board

  • Realistic fire situation
  • Cardboard still intact

7

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SLIDE 8

Buoyant Plume

Plume Radiative + Convective Heat Transfer

S 3 Mi d C

Combusting Plume

Stage 3 – Mixed Case

flame

Excess

Flame Radiative + Convective Heat Transfer (from pool and wall fire)

B is a function of:

  • 1. Corrugated board
  • 2. Commodity pyrolysis vapor

3 Commodity

Pyrolyzate

Commodity

  • 3. Commodity

X

Boundary layer

F

m′′

  • Pyrolysis

Corrugated board Solid/Liquid Pool fire XF

Boundary layer

Pyrolysis Zone

′′

  • Flame height >25 cm
  • Realistic fire situation

Y‐axis Commodity leakage

F

m′′ Pyrolysis

Zone

  • Realistic fire situation
  • Cardboard breaks

8

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SLIDE 9

Nondimensional Parameters

Non‐Dimensional FPI used to quantify flame spread q y p FPI = Fire Propagation Index ~ ρ = Flame Density ∆Hg = Heat of gasification q ‘’ Feedback flux

*

/

f g R

FPI FPI FPI q H V ρ = = ′′Δ

  • Spread Rate

qf = Feedback flux VR = Regression velocity Non‐Dimensional Flux to quantify heating flux from the

CHF

burning commodity CHF = Critical Heat Flux (flux which will cause material to ignite) HRR = Average heat‐release rate of material

HRR CHF CHF =

*

HRR Average heat release rate of material

, ,

(1 )( ) / ( )

c O s p p

H Y C T T B H Q χ ν

∞ ∞ ∞

− Δ − − = Δ B‐number

9

g

H Q Δ +

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SLIDE 10

The B number The B‐number

( )

i t i h t f b ti f b i

“ h d ”

( ) ( )

impetuses i.e. heat of combustion for burning resistances i.e. heat of vaporization to the process B= ∑

“Thermodynamic Driving Force”

(1 )( ) / ( ) H Y C T T Δ

, ,

(1 )( ) / ( )

c O s p p g

H Y C T T B H Q χ ν

∞ ∞ ∞

− Δ − − = Δ + B‐number

T∞ = Ambient temperature [K] L = Latent heat of vaporization [kJ/kg] ∆Hc = Heat of gasification [kJ/kg] Cp,f = Specific heat of the fuel [kJ/kg‐K] Q = L + Cp,f(TB‐TR) [kJ/kg] χ = Fraction of radiation lost [‐] ∆Hc = Heat of combustion [kJ/kg] YO,∞ = Mass fraction of oxygen in ambient [‐] νs = Oxygen‐fuel mass stoichiometric ratio [‐] Cp,∞ = Specific heat of ambient air [kJ/kg‐K] T P l i t t f th f l [1] Kanury, A. M. An Introduction to Combustion Phenomena. s.l. : Gordon & Breach Science Publishers, Inc, 1977. 10 Tp = Pyrolysis temperature of the fuel

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SLIDE 11

The B number The B‐number

  • It can be described in relation to a mass‐loss rate of a commodity which can

b d i l b

[1]

be measured in a laboratory

ln(B 1)

f g

h m c ′′ = +

  • Solving for B and using well‐known heat transfer relations for the heat‐transfer

coefficient a formula for estimating an average B‐number based on measured

g

rate of mass loss is

1/3 ''

B exp 1 0.13[GrPr]

g g f

m ρ α ⎛ ⎞ = − ⎜ ⎟ ⎜ ⎟ ⎝ ⎠

  • g

g

ρ ⎝ ⎠

  • This formula was used to determine B from the experimental data.

[1] Kanury, A. M. An Introduction to Combustion Phenomena. s.l. : Gordon & Breach Science Publishers, Inc, 1977. 11

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SLIDE 12

Calculations of FPI*

40

FPI

20 25 30 35 5 10 15

FPI*

PMMA PP PS PE PC Doug Fir PVC

4 5 6 1 2 3

12

1

PMMA PP PS PE PC Doug Fir PVC

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SLIDE 13

Experimental Setup: Experimental Setup: Small‐Scale Test

Class III Commodity Group‐A Plastic Commodity

Standard Group‐A Plastic Commodity Standard Group‐A Plastic Commodity Polystyrene cups in compartmented cardboard carton

13

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SLIDE 14

C di T R l Commodity Test Results

30 s 92 s 100 s 132 s 150 s

Front Face of Cardboard Burning Plateau PS Cups & Cardboard Burning

14

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SLIDE 15

C dit T t R lt Commodity Test Results

,

Mass Loss Rate

0.014 0.016 /m2*s]

'' f

m

  • Plateau Region

(CB + Packing PS Cups 0.008 0.01 0.012 ss Rate [kg/ Front face of CB burning (CB + Packing material) Cups 0 002 0.004 0.006 Mass Los burning 50 100 150 0.002 Time from Ignition, [s] Begin Water

CB = Cardboard PS = Polystyrene

Application (to extinguish fire)

15

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SLIDE 16

C dit R lt B b

4 5 B-number, Test 1 4 5 B-number, Test 2

Commodity Results – B‐number

Steady Initial

2 3 B 2 3 B

Steady Burning Region Initial Burning Region

20 40 60 80 100 120 140 1 Time from Ignition, [s] 50 100 150 200 1 Time from Ignition, [s]

B‐number = 1.3 ‐ 1.6

4 5 B-number, Test 3 4 5 B-number, Test 4 1 2 3 B 1 2 3 B 50 100 150 Time from Ignition, [s] 50 100 150 Time from Ignition, [s]

16

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SLIDE 17

Fl H i h Flame Height

  • Experiments also measured flame height

Experiments also measured flame height.

  • An example of flame height prediction using B is given by Annamali

& Sibulkin*

2 1/3 1/2 1/2 ,0 2 ,

4(1 1.25( /B) ) ( ) * *( ) ( )

p p s p s s g

r x x t t c k T T α π ρ

⎛ ⎞ ⎛ ⎞ − − = − ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ − ⎝ ⎠ ⎝ ⎠

2 1/4 7/4 , 0.19 1/4 1/2

/ ( / ) B 0.27 . (B 1) Pr ln(B 1)

c s c s p g

H g H c T r ν ν α

Δ Δ = + +

2/3

0.64( /B)

f p

x r x

Φ = =

*Annamalai, K. and Sibulkin, M. Flame spread over combustible surfaces for laminar flow systems. Part I & II: Excess fuel and heat flux. 1979, Combust. Sci. Tech., vol. 19, pp. 167‐183.

17

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SLIDE 18

Flame Height Predictions Flame Height Predictions

1100 Measured vs. Predicted Flame Heights 800 900 1000

Cone Calorimeter Testing B‐numbers measured in

600 700 800 ght (cm)

this test

400 500 Flame Heig 100 200 300 18 10 20 30 40 50 60 70 80 90 100 Time (s)

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SLIDE 19

Conclusions

A new method of hazard ranking is introduced in this study based on

nondimensional parameters: B, FPI*, and CHF*

In a warehouse setting, where the burning rate is the dominant fire

hazard, the B‐number may appropriately classify the hazard of a grouped commodity – especially if we can correlate FPI* and CHF* with B

These parameters can be determined by small‐scale laboratory tests

The B‐number can be calculated by the Cone Calorimeter and/or

grouped commodity tests

FPI* can be determined using current testing methods by incorporating

parameters already measurable on the NIST LIFT apparatus

CHF* could possibly be determined by testing of a single grouped

warehouse commodity warehouse commodity

19

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SLIDE 20

Conclusions

These parameters are nondimensional and in preliminary

tests show good correlations to full‐scale test data f f

The economic advantage of predicting full‐scale

performance with small‐scale experiments may be an impetus for a significant evolution in the field of fire impetus for a significant evolution in the field of fire protection engineering.

20

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SLIDE 21

Future Work

Correlate FPI* and CHF* with the B‐number Perform small‐scale testing on the Cone Calorimeter of

f various volume and mass fractions to provide a relationship between the B‐number of a grouped commodity and its constituent materials commodity and its constituent materials

Test the applicability of these nondimensional groups

against large‐scale fire tests

Incorporate suppression – minimum suppressant (water

spray) can be incorporated in B‐number via loss term

21

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SLIDE 22

Acknowledgements

David LeBlanc at Tyco for generous donation of

standard Group A storage commodity and sharing full l d d d l b b scale test data conducted at UL labs by Tyco.

Garner Palenske and Jonathan Perricone at Schirmer

f f d h l l b Engineering for funding the initial laboratory testing for this project.

22

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SLIDE 23

Questions?

23