Enclosure Fire Dynamics Chapter 1 Introduction Chapter 2

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Enclosure Fire Dynamics ¢ ¢ ¢ ¢ ¢ Chapter 1: Introduction Chapter 2: Qualitative

Enclosure Fire Dynamics ¢ ¢ ¢ ¢ ¢ Chapter 1: Introduction Chapter 2: Qualitative description of enclosure fires Chapter 3: Energy release rates, Design fires Chapter 4: Plumes and flames Chapter 5: Pressure and vent flows Chapter 6: Gas temperatures (Chapter 7: Heat transfer) Chapter 8: Smoke filling (Chapter 9: Products of combustion) Chapter 10: Computer modeling

Goals and expectations ¢ ¢ ¢ Flames l Calculate flame heights Plumes l Calculate

Goals and expectations ¢ ¢ ¢ Flames l Calculate flame heights Plumes l Calculate plume mass flow (function of height z) l Calculate plume centerline temperature (fnct of z) l Know Zukoski plume and Heskestad plume Ceiling Jets l Use Alperts correlations

Define mean flame height ¢ Height where flame is observed 50% of the time

Define mean flame height ¢ Height where flame is observed 50% of the time l Height above which flame appears half the time

Froude number in terms of heat release rate ¢ Experiments show mean flame height,

Froude number in terms of heat release rate ¢ Experiments show mean flame height, L, is a function of the square root of Fr:

Normalized flame height versus dimensionless energy release rate ¢ 1< Q* <1000 ¢ See

Normalized flame height versus dimensionless energy release rate ¢ 1< Q* <1000 ¢ See Table 2 -1. 2 [SFPE] for many different flame height correlations

Flame height correlation of Heskestad ¢ Reliable for 0. 5 < Q* < 1000

Flame height correlation of Heskestad ¢ Reliable for 0. 5 < Q* < 1000

Formation of plume and ceiling jet

Formation of plume and ceiling jet

Plume centerline properties

Plume centerline properties

The ideal plume (point source plume) Goal: Derive simple algebraic equations for properties in

The ideal plume (point source plume) Goal: Derive simple algebraic equations for properties in plume ¢ Assume top hat profile ¢

Derivation of ideal plume equations ¢ Temperature as a function of height l l

Derivation of ideal plume equations ¢ Temperature as a function of height l l ¢ Plume radius as a function of height l ¢ b(z) [m] Upward velocity as a function of height l ¢ Difference above T T(z) [o. C or K] u(z) [m/s] Plume mass flow rate as a function of height l [kg/s]

Final form of the equations:

Final form of the equations:

Zukoski Plume ¢ Adjusted ideal plume theory to fit with experiments ¢ Generally underestimates

Zukoski Plume ¢ Adjusted ideal plume theory to fit with experiments ¢ Generally underestimates plume mass flow rate

Zukoski plume experiments

Zukoski plume experiments

Plume equations that better represent reality Many researchers have worked on developing plume equations

Plume equations that better represent reality Many researchers have worked on developing plume equations ¢ Derive through dimensional analysis and experiment ¢ Heskestad plume equations l Mc. Caffrey plume equations l etc l

Heskestad; virtual origin

Heskestad; virtual origin

Heskestad plume correlations z>L z<L

Heskestad plume correlations z>L z<L

Measurements of centerline temperatures

Measurements of centerline temperatures

Plume interaction with a ceiling Forms a ceiling jet (CJ) ¢ Velocity of CJ

Plume interaction with a ceiling Forms a ceiling jet (CJ) ¢ Velocity of CJ driven by buoyancy of plume ¢ Just as with plumes, there a number of different CJ correlations ¢

Temperature and velocity cross sections are not necessarily the same Depth of CJ in

Temperature and velocity cross sections are not necessarily the same Depth of CJ in the range 5%-12% of H ¢ Maximum u and T very near ceiling ( 1% of H) ¢

Alpert correlations r/H<0. 18 r/H>0. 18 r/H<0. 15 r/H>0. 15

Alpert correlations r/H<0. 18 r/H>0. 18 r/H<0. 15 r/H>0. 15

Any questions? Next: Unit 5 – Vent flows

Any questions? Next: Unit 5 – Vent flows