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Der Artikel untersucht den kritischen Aspekt der Flammenausdehnung unter gebogenen Decken, ein entscheidender Faktor in der Brandschutztechnik, der sich direkt auf die Brandausbreitung und das Wachstum innerhalb von Abteilungen und Gebäuden auswirkt. Es untersucht, wie verschiedene Elemente, darunter die Geometrie der Abteilungen, Belüftung, Brennstoffart und Brandgröße, das Flammenverhalten beeinflussen, insbesondere in innovativen architektonischen Entwürfen und städtischen Untergrundräumen. Die Studie präsentiert umfangreiche experimentelle Daten aus einer tunnelartigen Betonstruktur, die sowohl Propan als auch Heptan als Brennstoffquellen nutzt. Bestehende Flammenlängenmodelle werden mit neuen empirischen Erkenntnissen verglichen, was die Grenzen aktueller Modelle bei der Darstellung impulsdominierter Strömungen offenbart. Der Artikel stellt logarithmische Anpassungen dieser Modelle vor, die ihre Anwendbarkeit auf unterschiedliche Brandverhalten verbessern. Zusammen mit neuen Korrelationen bieten diese Anpassungen eine präzisere und effektivere Darstellung von Flammenausdehnungen unter gekrümmten Decken und überbrücken die Lücke zwischen theoretischen Modellen und praktischer Brandschutztechnik.
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Abstract
In this paper, the factors affecting flame extension under curved ceilings are presented. An experimental campaign in reduced scale was carried out in Lund University’s Fire Lab using a propane gas burner and heptane pool fire in different positions and heat release rates within a curved ceiling setup. A flame recognition script was developed to identify the flame length in the videos taken for each test. The flame length data was then compared with flame length models found in the literature which have only been developed from buoyancy driven flows. The results show that the curved geometry affects flow, enhancing it and resulting in longer flames. This is particularly clear in the tests with the propane gas burner. When positioned flush against the side wall, the reduced air entrainment and the gas’s momentum cause unburnt fuel to travel further along the ceiling, thereby extending the flame length. In the case of pool fires, proximity to the wall reduces the heat release rate which in turn limits the flame extensions. Consequently, momentum dominated flows such as those produced by the propane burner, result in longer flame extension compared to the buoyancy dominated flows characteristic of pool fires. The greatest difference between the experimental data presented in this study and flame extension models found in the literature is attributed to the omission of the flow’s buoyancy component in these models. Additionally, the type of fire, whether buoyancy or momentum dominated, and its position within the test setup impact the flame extensions. To address these limitations, this work introduces adaptations of previously published models.
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\(L_f\)
Flame extension length (m)
D
Fire source diameter (m)
\(F_r\)
Froude number
\(V_{fu}\)
Cut-off flame volume by the curved ceiling (\(m^3\))
\(V_f\)
Free flame volume (without ceiling) (\(m^3\))
\(\dot{Q}\)
Fire heat release rate (HRR) (kW)
R
Radius of the curved ceiling (m)
g
Gravitational acceleration constant (\(kg/ms^2\))
\(\beta\)
Wall/corner correction coefficient
\(\dot{Q}^"\)
Heat release rate per unit area (HRRPUA)
\(\theta _1\)
Inclination angle between the impingement point and the horizontal line
\(\Delta H_c/s\)
Heat release per mass consumed air (kJ/kg)
\(H_f\)
Flame length in free combustion (m)
\(H_{ef}\)
Effective ceiling height (m)
v
Fuel velocity (m/s)
\(\rho _{\infty }\)
Air density
\(c_p\)
Heat capacity of air \(kJ/kg ^\circ C\)
\(T_{\infty }\)
Temperature of ambient air (K)
P
Pressure of testing environment (kPa)
\(\dot{Q}^*\)
Non dimensional heat release rate
\(A_f\)
Area of the fire (burner area) (\(m^2\))
1 Introduction
Fire Safety Engineering is an essential component in the design, construction and overall functioning of buildings, means of transportation and many other aspects of life. Flame extensions under ceilings are a particularly important aspect in Fire Safety Engineering since they have a direct impact on the fire spread and growth inside a compartment and to other parts of a building or environment. The extension of flames are affected by different factors including compartment geometry [1, 2], ventilation [3], fuel type and fire size [4]. Advances in architectural and building design see continuous innovation which also includes the utilization of curved structures. Additionally, the increasing worldwide population has promoted the development of urban underground space resulting in structures such as underground utility and vehicle tunnels [5, 6]. For this reason investigation of fire and flame behaviour in such geometries needs to be conducted. Extensive literature is present regarding tunnels [4, 7, 8], but not much focus is put into the flame extension aspect. Most of the flame length models produced for curved ceiling geometries have been developed from well established flame length models created for horizontal and inclined flat ceilings. The first equation created to describe the flame length under a horizontal ceiling after impingement was proposed by You and Faeth [4] and is presented in Eq. 1.
Their correlation determines the flame length \(L_f\) from the pool fire flame height in free condition (\(H_f\)), the effective ceiling height of the compartment (\(H_{ef}\)) and the fire’s diameter (D). The multiplication coefficients a, b in Eq. 1 vary depending on the ceiling characteristics: Table 1 summarizes the different coefficients that have been utilized in conjunction with Eq. 1 for different ceiling configurations. Further studies presented by Zhang et al. [9] take into account the air entrainment contribution to the flame extension of flame produced by linear fire sources under horizontal and inclined ceiling geometries. In their work they find that the flame extension is composed of two components: the first is the non-combusted fuel that is present at the impingement point and the second is made up by the air that is entrained during the combustion of unburnt fuel after the impingement point. By taking into consideration the work performed on flame extensions under horizontal ceilings, Pan et al. [10] develop an adaptation of You and Faeth’s empirical correlation, Eq. 1, to characterize flame extensions under curved ceiling geometries. An experimental campaign was carried out using oil pool fires in a scaled concrete setup. While the equation form is the same as You and Faeth’s one [4], due to the application to a curved ceiling geometry, new coefficients are found compared to the flat ceiling geometry and are shown in Table 1. Their model does not offer a complete characterization of the flame extension since the buoyancy component (the vertical component of the fire’s flow) along the curved ceiling and momentum conservation equations are not accounted for [11].
Table 1
Coefficients in Eq. 1 for different ceiling configurations
Coefficient
You and Feath
(Unbounded Ceiling Geometries)
You andFaeth
(Bounded Ceiling Geometries)
Pan et al. (2020)
(Adaptation for curved ceiling)
a
0.50
0.69
1.47
b
0.96
0.89
0.22
When the ceiling is flat and horizontal, after impinging the momentum of the fire’s plume shifts from vertical to horizontal [12]. The flames can also impinge on the ceiling and spread radially with this ceiling configuration. If the ceiling is curved instead, after impinging the momentum of the fire plume is not purely horizontal anymore. The curved geometry induces both a horizontal and vertical component to the flow after impingement. In particular, when the flow is buoyancy dominated (heptane pool fire), buoyancy controls the flame extension until all the fuel is combusted. On the other hand, when the flow is momentum dominated both momentum and buoyancy components contribute to the flame development. This combined effect can result in even longer extensions since fuel needs to travel longer beneath the ceiling to undergo complete combustion.
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Further theoretical and experimental developments were performed by Pan et al.: in their work they investigated how the residual unburnt mass flow after impingement and the varying buoyancy component influence the flame extensions under the curved ceiling [11]. By assuming that the relationship between the ceiling jet velocity and the entrained air is linear, a momentum balance equation was put in place to correlate the two quantities. The study of these additional parameters by Pan et al. resulted in the development of Eq. 2 that describes the flame extensions beneath a curved ceiling in terms of fire source size, heat release rate and tunnel geometry characteristics.
These flame models have only been developed from buoyancy-dominated flows, and it has not been assessed whether these correlations can also represent flames of momentum dominated flow fires. In this paper, thanks to additional experimental work, new adaptations of the existing correlations have been created.
2 Theory
The flame length or height is the level at which the combustion process is complete [13]. Due to the intermittent nature of flames, the mean flame height is used in engineering equations to calculate flame height: the mean flame height is the area where the flame appears 50% of the time [12]. When the fuel is not supplied at high velocities, buoyancy will dictate the upward velocity of the gaseous flow. Examples of buoyancy dominated flows are those resulting from pool fires. On the other hand, if the fuel is injected at high velocities, the flow becomes momentum dominated and the buoyancy effect becomes negligible [12]. Jet flames are an example of momentum dominated flows.
From [14], it was determined that small scale test results fit full scale test results accurately: to relate quantities from large to small scale, Froude scaling is applied. The Froude number derives from hydraulics but can be applied to the hot gases produced during combustion. It represents a relationship between the flow velocity (v) and buoyancy and is shown in the first term of Eq. 4: g is the gravitational acceleration constant.
The Froude number can also be related to the heat release rate (\(\dot{\textrm{Q}}\)), yielding the expression in the second term of Eq. 4: D is the fuel source’s characteristic diameter. Through experimental procedures, it was determined that the variation in flame geometry can be represented with the square root of the Froude number through Eq. 5.
Extensive experimental campaigns relating flame height to heat release rate and characteristic diameter have shown that expressing data in terms of nondimensional heat release rate is more convenient [12]. This new expression is represented in Eq. 6, where \(\dot{Q^*}\) is the non dimensional HRR, \(\dot{Q}\) is the fire’s HRR, \(\rho _{\infty }\) is the density of ambient air, \(c_p\) is the specific heat capacity of air and \(T_{\infty }\) is the ambient air temperature. Heskestad’s work [12] resulted in the definition in an expression for a fire’s flame length, \(H_f\), and is shown in Eq. 7.
This correlation is used to estimate the flame length of buoyant fires in free burning conditions and was developed from experimental data mostly using pool fires. It assumes a stable axisymmetric plume with no influence from external wind or turbulence. Heskestad determined that the flame height is proportional to the square root of the heat release rate [12]: for this reason, its application is not fully intended for fires with flame heights that are significantly larger than the fuel diameter [13]. Furthermore, while this equation is not intended for momentum dominated flow fires, it is believed that it can still provide an estimation of the flame length [13]. Heskestad’s equation is not applicable for fires bounded by a wall or placed in a corner: in these cases, the geometry affects the combustion process, extending the flame length and providing additional heat feedback to the fire source resulting in higher HRR values[12]. During the experimental campaign carried out in this work, the flame extension resulting from free burning conditions (\(H_f\)) was not measured. For this reason, in order to obtain this quantity, Eq. 7 was utilized for both fuels and burners in the centre position of the curved ceiling setup. Furthermore, to determine the flame length in cases where the fire is placed flush to a sidewall or in a corner, Eq. 8 was applied. Wang et al. [15] adapted Heskestad’s original equation by performing experiments in wall and corner bounded conditions at different pressures.
\(H_f\) is the total flame height of the wall bounded fire, \(\beta\) is the mirror coefficient that is a correction coefficient that accounts for the wall or corner bounding (\(\beta\) = 1.6 for wall fires, \(\beta\) = 2.4 for corner fires), P is the pressure of the testing environment in kPa. This equation is an adaptation of Heskestad’s correlation and has been extended to cases where the fire is bounded. For this reason, the correlation put forwards by Heskestad and its adaptation for the wall bounded case have been used to determine the flame length in free burning conditions (\(H_f\)) for the different burner positions and fuel types. While for the propane tests the empirically calculated flame length may present some discrepancy with the free burning condition flame length, they are less than 5% [12, 13, 16]. Furthermore, while equations that describe flame lengths of momentum dominated flows can be found in literature for free burning fires, correlations that account for the wall bounding effects have not been identified. Finally, in order to further characterize the differences in the flame extensions produced by the two different fuel types, heat release rate per unit area (HRRPUA) [7] has been utilized. Heat release rate per unit area (\(\dot{Q"}\)) is used to determine the intensity of a fire: in particular, the higher the \(\dot{Q"}\) value, the more intense the fire. It is defined as the ratio between the heat release rate resulting from combustion and the area of the fuel source (\(A_f\)). Larger HRRs and smaller \(A_f\) values cause the heat release rate per unit area (HRRPUA) to increase. Based on this, a larger burner area does not necessarily result in a more intense fire. This is important to consider when testing different fuel types and flows that have different characteristics. Higher HRRPUA values are characteristic of momentum dominated fires and fires that produce jet flames; lower HRRPUA values instead are attributed to buoyancy dominated flows [13].
3 Experimental Procedures
Experiments presented in this work were carried out using a concrete tunnel like structure. This was chosen based on previous work carried out for similar studies [11]. Figure 1 illustrates a schematic of the setup including its dimensions. On the left is a top view, highlighting where the burners were placed during the different tests in the centre and flush to the side wall of the setup. On the right, the front view of the setup shows its shape and its internal geometry.
Fig. 1
Schematic of the curved ceiling setup and burner positions
The structure had an internal diameter of 900 mm, was 1200 mm long and 75 mm thick. Since this work focused solely on flame extension in the direction perpendicular to the tunnel’s length, the effect of a longer tunnel on the flame extensions was not investigated. While the study of the effect of longer structures on flame extensions is undoubtedly relevant to tunnel fires, it would add different layers of complexity to this research, while the primary focus remains on the flame extensions. For these reasons, the length of the setup was determined by the size of the precast concrete pipes utilized to obtain the curved ceiling geometry. The bare concrete was left untreated for the tests in a similar fashion as the experimental studies of other work presented in literature [10, 11]. In the literature, curved ceiling tunnel dimensions vary: in [17] two real life tunnel dimensions were studied. Comparing the setup used in this work with the dimensions found in literature [17], the setup’s scaling ratio is between 1:11 and 1:15 depending on which tunnel dimensions are taken as reference. Furthermore, HRR values from the different tests presented in Sect. 4 also correspond to full scale HRR data resulting from fires of vehicles that are typically found in tunnels [18, 19]. More in depth discussion regarding the HRR scaling is presented in Sect. 4. Promatect H.ETA 06/0206 boards [20] were used to create the structure inside the curved ceiling setup: Fig. 2 shows the experimental setup. The addition of the boards made it possible to have a flat horizontal base for the burners to rest on. Furthermore, the placement of the boards on each side of the setup introduced two vertical walls which were not present in similar studies from literature [10, 11]: the boards were introduced to remove the effect of the concave part of the curved setup on the flame extensions. The Promatect H.ETA 06/0206 boards are high-performance boards used for passive fire protection applications. They are made of calcium silicate and is reinforced with selected cellulose fibers and fillers.
In this work, a gas burner and a pool fire were utilized as fire sources in the experiments. Propane was burned through a square sandbox burner with the base measuring 74 × 74 mm and 70 mm thick: the burner was connected to the gas supply line through a steel tubing system and the gas flow rate could be managed with the use of an electronic flow controller [21]. The pool fire was fueled with heptane: a square metal vessel measuring 180 × 180 × 50 mm in width, height and thickness was used in this case. For each test 5 dl of heptane were utilized: a 10 mm thick layer of water was placed in the bottom of the vessel before pouring the heptane in order to have a flat base for combustion. Since heptane’s density is less than water’s, the heptane can float above it. As the HRR of a pool fire depends on its diamter [12] only one HRR was obtained when using this fuel source. The HRR could not be varied like in the case of propane, where the flow could be increased or decreased. Since from initial tests it was determined that the flame extension resulting from the heptane pool was not long enough to extend beneath the ceiling, the fuel source was placed on a set of 6 cm bricks in order for the flames to reach the curved ceiling and extend beneath them. The bricks can be seen in Fig. 3.
The tests were performed under an extraction hood installed in the fire lab. The hood is equipped with various equipment and in intervals of 1 s, the gases are extracted and analyzed: \(O_2\), \(CO_2\) and CO concentrations are measured in addition to other quantities. The HRR resulting from each test was determined utilizing the oxygen depletion method presented in [22]. Only one heptane pool fire size was used, while different HRRs were tested by changing the propane burner’s gas flow rates. The locations of the burners inside the curved ceiling setup were also varied between a central (600 mm length, 342.5 mm width) and a flush to the sidewall (600 mm length, 685 mm width) positions as shown in Fig. 1. Finally, each test was repeated three times in order to reduce the measurement errors through averaging. Table 2 outlines the tests that were performed. The HRR values are the average of the three repetitions of the tests performed in each position.
Table 2
Experimental test list
Test
Fuel
Position
Flow Rate [L/s]
HRR [kW]
1
Propane
Centre
0.30
40.7
2
Propane
Centre
0.40
52.4
3
Propane
Centre
0.50
63.9
4
Propane
Centre
0.75
100.9
5
Propane
Side
0.30
40.8
6
Propane
Side
0.40
51.3
7
Propane
Side
0.50
63.8
8
Propane
Side
0.75
100.5
9
Heptane
Centre
N/a
61.9
10
Heptane
Side
N/a
49.2
The differences in flame length extensions under the curved ceiling were analyzed in this work. Due to the setup’s geometry, the flame extensions could be seen from a transverse direction only at a distance of 930 mm and height of 525 mm; the longitudinal flame extensions could not be captured due to the impossibility to perform recordings from the side of the setup. To capture the flame extensions, a 12 Megapixels camera was utilized: both normal speed videos (1080p definition, 30 frames per second (FPS)) and slow-motion videos (1080p definition, 240 FPS) were recorded for each test. The slow motion videos yield higher quality and more detailed videos, especially with regards to the pixel colours: this is due to the lower exposures that result when using this video recording mode.
Figure 3 shows the flame extensions beneath the curved ceiling setup for the two tested fuel types.
Fig. 3
Transverse view of the flames during each test and in the different positions inside the setup. Propane Test 1–8, Heptane Test 9–10
In order to evaluate the flame lengths, an image analysis Python script [23] was created using the Open CV (Open Source Computer Vision) library. Open CV was preferred due to its advanced computer vision library. The videos were taken for each test when the flame was stable: this stable condition was determined by looking at real time HRR data and by visual inspection of the flame extensions in the different tests. Each video was approximately 30 s long. Table 3 shows the standard deviation of the HRR during the period in which the flame extension videos were recorded. The standard deviations of the HRR values are all less than 5%, which the authors considered to be an acceptable variation. As can be seen from the Table, heptane overall presents a larger variation than propane. For heptane, changes in vaporization rates of its phase change during combustion and potential incomplete mixing with air, introduce larger HRR fluctuations compared to propane’s more uniform combustion process [24, 25].
Table 3
Heat release rate standard deviation from mean value during the flame extension video recording period
Test
Fuel
Position
HRR standard deviation [%]
1
Propane
Centre
1.43
2
Propane
Centre
1.04
3
Propane
Centre
1.06
4
Propane
Centre
0.89
5
Propane
Side
1.46
6
Propane
Side
0.32
7
Propane
Side
0.98
8
Propane
Side
1.32
9
Heptane
Centre
2.08
10
Heptane
Side
3.64
Further discussion on the HRR values is presented in Sect. 4. The basic principle behind the functioning of the code and its ability to detect fire is pixel identification. The fire identification was performed by executing the following process:
Fig. 4
Result of the video analysis performed on the experiment’s video recordings
For each frame the pixel colours were converted from RGB (Red Green Blue) colors to HSV (Hue Saturation Value): the RGB colour range for the video analysis performed went from (255, 170, 40) corresponding to a light orange to (255,0,0) corresponding to red. It was considered reasonable to keep these values the same for the two fuels since the colors of heptane and propane flames are similar. This step was performed to ease the pixel colour detection since with HSV colour variations can be detected more accurately [26].
A mask was then defined to identify the flame and the fire pixels were then extracted and only the flame was visible. An example of the result obtained from the video analysis process for one frame can be seen in the top part of Fig. 4.
After having detected the fire, a bounding rectangle code was created in order to measure the flame’s length. The bounding rectangle uses the Cartesian coordinates from the Python code to highlight the fire pixels. The rectangle’s dimensions in pixels are then saved for each frame and converted to meters using the ceiling’s free height (\(H_{ef}\) measured from the base of the setup to the highest point of the ceiling) and frame height: since the ceiling’s free height in meters and the frame’s height in pixels were both known, the pixel to meter ratio could be found and applied to the flame length. In particular, the bounding rectangle’s width was taken as the flame extension length: this represents the 50% intermittent flame length of the fire during the 30 s video duration. Trigonometry and arc geometry were used to calculate the curved flame extension from the bounding rectangle’s width. The distortion in perspective resulting from the camera placement was not accounted for when creating the bounding rectangle. An example of the bounding rectangle can be seen in the bottom portion of Fig. 4.
4 Results
4.1 HRR and Flame Extensions
Table 4 shows average HRRs and flame extensions of the three tests performed for each different position and fuel type. For tests 4 and 8 only one repetition was performed. Due to the high HRR of these tests, conducting additional repetitions exceeded the safety and operational limits of the experimental setup and of the fire lab. Nevertheless, data collection followed the same rigorous procedures, conducted with accuracy and reliability, as in the other tests.
Table 4
HRR and flame extensions values determined for each test
Test
Fuel
Position
HRR [kW]
Flame Extension (Lf) [m]
1
Propane
Centre
40.7 (39.9–41.7)
0.359 (0.350–0.372)
2
Propane
Centre
52.4 (51.8–52.8)
0.390 (0.349–0.485)
3
Propane
Centre
63.9 (60.1–65.2)
0.493 (0.413–0.533)
4
Propane
Centre
100.9
0.518
5
Propane
Side
40.8 (39.1–41.1)
0.483 (0.473–0.508)
6
Propane
Side
51.3 (50.8–52.4)
0.509 (0.481–0.531)
7
Propane
Side
63.8 (61.8–72.2)
0.559 (0.544–0.618)
8
Propane
Side
100.5
0.601
9
Heptane
Centre
61.9 (59.6–63.8)
0.341 (0.312–0.367)
10
Heptane
Side
49.2 (44.8–52.3)
0.304 (0.274–0.333)
Recalling the discussion from Sect. 3, the experimental setup’s scaling ratio is between 1:11 and 1:15. Based on scaling laws [14, 27], the corresponding full scale HRR can be found knowing the HRR measured in the scaled experiments and the scaling ratio. Equation 9 below shows how the HRR is scaled: \(Q_M\) is the HRR measured in the scaled model, \(Q_F\) is the HRR measured in full scale, \(L_M\) is the model length scale and \(L_F\) is the full scale length.
Based on Eq. 9, by using the scaling ratio of the setup and the experimental HRRs from Table 4, the corresponding full scale HRRs can be obtained. In particular, by calculating \(Q_M\) with the smallest scaling ratio and smallest experimental HRR or the largest scaling ratio and largest HRR, a range of full scale HRRs can be found. The resulting full scale HRR range falls between 16.3 and 87.9 MW, which aligns with peak HRRs presented in literature for different types of vehicles that can be found in tunnels [18, 19]. By analyzing tests 1–8, it is clear that for the propane tests, the HRR values are similar between each other since the same flow rates were utilized in the two different positions inside the setup: the percent difference bewtween HRR values did not exceed 2.12%. The flame extension (\(L_f\)) results on the other hand are different depending on the burner placement in the centre of the setup or flush to its sidewall. In the latter, the flame extensions are the largest for each gas flow setpoint and increase as the HRR increases. In this position, the momentum of the gaseous flow transports the fuel further along the curved ceiling before undergoing complete combustion, increasing the flame extension. Furthermore, as a result of the placement beside the setup’s side wall, the amount of air entrained after impingement participating in the unburnt fuel combustion is less [28, 29]. The unburnt fuel needs to therefore travel further beneath the curved ceiling to burn completely, resulting in longer flame extensions [10] as shown in Fig. 3. When analyzing the HRR for the heptane pool fires instead, a differece in HRR values was measured between the two burner positions. When the heptane pool is placed in the side position, the reduced entrainment affects the heat release rate of the heptane pool fire, decreasing it. Due to the reduced entrainment, less efficient combustion of flammable gasses also lowers the heat feedback to the fuel in the pool, affecting the MLR. Since MLR and HRR are directly proportional to each other, reduced MLR results in lower HRR [13]. The decreased HRR therefore translates to a shorter flame extension, shown in Table 4. Since the pool fire’s flow is buoyancy dominated, the central position makes it possible for more air to be entrained during the combustion process compared to the side placement. The HRR therefore is higher and the flame extensions consequently longer in this centre position as can be seen in Table 2. The differences in flame extensions can also be clearly distinguished in Fig. 3.
Overall, it can be observed that the flame extensions resulting from momentum dominated flows (propane burner) are larger than those of buoyancy dominated flow (heptane pool) fires. In the tests, the burners both have a square geometry where the heptane pool’s side measures 180 mm and the propane burner’s side measures 74 mm. Recalling the HRR values from Table 4 a few comments can be made on the heat release rate per unit area. By calculating the HRRPUA, it is clear that this quantity is much higher for the propane burner compared to the heptane one. The HRRPUA measurements for the different tests are presented in Table 5. It can also be concluded that for propane, the HRRPUA value is independent from the burner placement since the gas flow rate is the main driver of the flow. For the buoyancy dominated heptane on the other hand, the position influences the heat balance on the fuel surface affecting MLR and HRR. As a consequence the HRRPUA value is also affected.
Table 5
HRRPUA for the different fuels
Fuel
Burner Area [m2]
Average HRRPUA [kW/m2]
Propane centre
0.005476
7432.4, 9569.0, 11669.1, 18425.8
Propane side
0.005476
7450.6, 9368.1, 11650.8, 18352.8
Heptane centre
0.0324
1910.4
Heptane side
0.0324
1518.5
4.2 Comparison with Theoretical Models and New Equation Definition
The existing models used to represent flame extensions under curved ceilings [10, 11] were compared to the experimental data from Table 4. After a revision performed on previous work using Pan et al.’s model [30], a logarithmic adaptation of the correlation was found to represent the flame extension data more accurately. Figure 5 shows the test data resulting from the experiments carried out in this work, the results obtained by Pan et al. (Figure 9 in their work) [11] and different logarithmic fit lines that represent the data closely. The \(H_f\) value was calculated using the Heskestad correlations previously presented in Eqs. 7 and 8 for the central and side positions respectively.
Fig. 5
Comparison between test results for the curved ceiling setup with the Pan et al. 2020 and 2022 models - Logarithmic scale
As outlined previously, the flame extensions obtained in the heptane tests are much lower compared to the propane ones. The difference in flame extension resulting from the burner placement between central and side positions for both fuel types can also be seen in Fig. 5. While for the propane burner the test data from the side position has higher \(L_f/D\) values, for the heptane case the lower HRR in the side position results in lower flame lengths. In their work, Pan et al. do not investigate the effect of burner placement flush to the side of their experimental setup, but similar effects are seen as the pool fire is moved towards the setup’s side wall [11]. Similarities in the fuels that were utilized explains why the results found by Pan et Al. correlate closely to the heptane data points for the central position rather than the one resulting from the placement of the burner at the side of the setup. Furthermore, some similarity can also be seen with the data from the central propane burner data: this can also be attributed to the parallelism in burner placements and to the longer flame lengths obtained by reducing the burner to ceiling height in Pan et al.’s work [11].
In Fig. 5, three logarithmic fit lines were obtained by interpolating different data sets. The first purple line is represented by Eq. 10 which results by fitting the experimental data found by Pan et al. [11].
The expression follows the data from Pan et al. (2022) and appears to represent the longer flame extensions more accurately. It is interesting to see how, if extended, this equation also represents the experimental data from the propane burner placed in the central location. This indicates that the newly found logarithmic adaptation appears to also be able to represent momentum dominated flows. Secondly, the data obtained from the experimental campaign was fitted, yielding the blue dashed fit line in Fig. 5. In this case, the propane data from the side positioning of the burner is represented with most accuracy. Equation 11 represents this second fit line.
With the newly found logarithmic adaptation, the lack of consideration of the unburnt fuel after impingement and the variation of the flow’s buoyancy component along the curved ceiling geometry appears to be mitigated. The final Eq. 12 shown by the dotted black line is the fit obtained on all the test data and the data found from the experimental campaign undertaken by Pan et al. [11].
The \(R^2\) values that correspond to each of the logarithmic fit lines and show in Fig. 5 depict the accuracy of the data interpolation. The most representative fit line is the one performed on the complete set of experimental data and the one resulting from the work of Pan et al. Equation 12 results in an \(R^2=0.8358\) value and provides a comprehensive representation of flame lengths produced by both momentum and buoyancy dominated flows in different setup placements.
Equation 2 proposed by Pan et al. [11] was then compared to the data from the experimental campaign. The new model takes into account the variation of the flow’s buoyancy component along the curved ceiling geometry and the results are shown in Fig. 6. The buoyancy component induced by the curved ceiling geometry clearly influences the flame extension, increasing it.
Fig. 6
Comparison between test results for the curved ceiling setup with the Pan et al. 2022 model
In addition to the test data results and to the correlation developed by Pan et al., also results from the tests of Zhou et al. [31] have been included in the graph (Figure 8 in Ref. [31]). In their work, Zhou et al. also find flame extensions under the curved ceiling resulting from heptane pool fires. Similarly to previous findings, also in this case the longer flame extensions produced by the propane burner compared to the heptane pool fire are noticeable. Overall, the new correlation presented by Pan et al. shows similarities with the test result data. A closer relationship is found with the heptane test data, since also in their work Pan et al. utilize the same fuel source. Their model can therefore correlate buoyancy dominated flows better than momentum dominated ones, such as the propane burner. Equation 13 shown below represents the fit line seen in Fig. 6 which fits both the propane test data results and the heptane test data results more accurately than the Pan et al. model. The \(R^2=0.8902\) value emphasizes this close representation.
Comparing the multiplication constant found for the new fit line of 6.15 with the original constant proposed by Pan et al. of 8.59, it is clear that there is not much discrepancy between the two. This indicates that in general the correlation represents the flame extensions closely, confirming that parameters in the equation are dominating and important. Overall, the newly adapted correlation of Eq. 13 shows better characterization of both momentum and buoyancy dominated flows.
4.3 Limitations and Further Work
The work carried out in this study was performed on a scaled curved ceiling setup using two fuel types in two different locations. While the work was extensive and resulted in the formulation of new correlations that describe different flow characteristics more in detail, limitations are also present. Firstly, the utilization of a single sized setup in reduced scale could result in modifications to the expressions when increasing or decreasing the scaling ratio. Furthermore, while two different fuels characterized by different flow regimes were studied in the tests, utilization of additional fuel sources may result in further developments of the flame length models. The flame extensions in free burning conditions \(H_f\) were obtained empirically using Eqs. 7 and 8, and for this reason the utilization of experimental data for free burning flame heights or of momentum dominated flow equations for the propane case may yield more accurate results and a better representation of the momentum dominated flow phenomena. Additionally, the videos taken for the flame extension recognition were only performed from from a cross sectional perspective due to perspective limitations: the non-consideration of this component of the flames may be a constraint for the results that were found in this work. Finally, the effect of the fuel source size on the flame extension should also be investigated further: this would increase the number of data points available for the comparison of the different fuel types. Furthermore, similarly to the variation of the setup’s size variation, it would help further refine the flame extension models that have been presented and adapted in this work. The execution of additional experiments should therefore be performed in order to extend this work and continuously develop the knowledge on the behavior of flame extensions under ceilings.
5 Conclusion
In this study, an experimental campaign was performed in order to evaluate the flame extension of buoyancy and momentum dominated flows beneath a curved ceiling. Based on literature findings, adaptations of existing flame length models were proposed to extend their application to different fire behaviors. The comparison of experimental data with models developed utilizing solely pool fires [4, 10] resulted in a failure to represent the flame extensions beneath the curved ceiling. In particular, lack of characterization of momentum dominated flows was observed. Logarithmic adaptations of these models presented in this paper through Eqs. 10, 11 and 12 extend the domain of application of the existing models to include flame extensions produced by momentum dominated flows. The new correlations yield an \(R^2\) value of 0.8552, 0.7851 and 0.8358 respectively. Subsequently, extension of the improved model based on work by Pan et al. [11] to momentum dominated flows resulted in the formulation of Equation 13, obtained by fitting the experimental data. The \(R^2\) value of 0.8902 associated to Eq. 13 highlights how flame extensions under curved ceiling geometries resulting form both momentum and buoyancy dominated flows can be represented in more effective and precise manner.
Acknowledgements
A special thank you goes to the IMFSE (International Master in Fire Safety Engineering) program and to the Lund University Fire Lab technicians for their help.
Declarations
Conflict of interest
The authors declare that they have no Conflict of interest to this work.
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