1. introduction - university of edinburgh research explorer · web viewit should be noted that the...
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111Equation Chapter 1 Section 1Performance of laminated
glazing under fire conditions
Yu Wang, Jiayu Hu
School of Engineering, University of Edinburgh, Edinburgh EH9 3JL, United
Kingdom
Abstract
Glass breakage and fallout may change the ventilation of compartment which would
significantly accelerate the enclosure fire development. Past research of glass in fires
has focused on single and insulated glazing, whereas the thermal performance of
laminated glass remains less well understood which is increasingly used in high-rise
building façade systems. In this work, the experimental data has been used to validate
the heat transfer and thermo-mechanical models performed by ABAQUS. The
experiment refers to two laminated glass panels with 600×600 mm2 area and 12.38
mm thickness (6 mm glass + 0.38 mm polyvinyl butyral + 6 mm glass), which were
heated to break by a 500×500 mm2 square pool fire. The heat transfer models were
verified by the recorded surface temperature at the ambient side. The breakage time of
both panels were predicted through the stress distribution, showing relatively good
agreement with experimental observations. After the model was validated, a
parametric study of laminated glazing, including the thickness of gel layer and the
number of glass layers were changed to investigate the significance of these
parameters to the fire resistance of laminated glazing. It was established that the 1.52
mm interlayer and 4-glass-panel laminated glazing demonstrate the best fire
resistance. However, the 0.38 mm and 3-glass-panel ones are recommended
Corresponding author: [email protected] (J. Hu); First author: [email protected] (Y. Wang)
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considering the construction cost and reasonable fire performance. This numerical
model is proved to be capable of the thermal performance prediction of laminated
glazing in fire safety design of glass façades.
Keywords: laminated glazing; heat transfer; glass in fire; finite element method;
parametric analysis
1. Introduction
As the weakest section of the building envelope, glass façades may break and fall out
very easily when subject to a fire. The new vent created by the glass failure would
induce fresh air entrance and ejected window flame, resulting in the acceleration of
the compartment fire development and ignition of the combustible cladding. Thus, the
thermal behaviour of glass façade is of great importance to the fire spread of the high-
rise buildings. Emmons [1] first highlighted the great role of glass thermal breakage
behaviour in a fire, and subsequently a large number of studies were performed to
investigate the mechanism of thermal cracking in glazing [2, 3]. For example, Keski-
Rahkonen [4] used linearized radiation cooling boundary condition to theoretically
predict critical temperature difference of 80 °C. Harada et al. [5] tested the float and
wired glass with different constraint conditions by a propane radiation panel. Shields
[6, 7] performed full-scale experiments in ISO 9705 room to investigate the behaviour
difference of single glazing with different fire locations. Pagni et al. [8] and Wang et
al. [9] respectively developed softwares BREAK1 and EASY to predict the breakage
time of single glazing in a compartment fire. It was established from these work that
the exceeding internal thermal stress caused by thermal gradient is substantially the
reason for glass breakage in the fire.
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All the above work primarily focused on the single clear glazing. However, in recent
years, with the overwhelming use of glass in the modern building envelope, different
kinds of glasses, such as coated, ground, insulated and laminated glazing (LG), are
becoming increasingly popular due to their good performance in thermal, energy,
light and aesthetics [10]. The diversity of glass beautifies the high-rise building
outlook but brings the new challenge for the fire performance-based design due to the
knowledge paucity concerning fire performances of these different glasses [11]. In
particular, to date, there have no specific design regulations for vulnerable glazing
façades which makes the situation even worse [12]. The glass type has a significant
influence on the thermal breakage of glass [10], thus it is of great importance to study
the fire performance of new glazing.
Among the different types of glass, laminated glazing, which is built of two or more
annealed or tempered glass panels combined with one or more polyvinyl butyral
(PVB) interlayers, is not only used as glass façade/windows but also the structural
elements in modern transparent constructions [13]. Extensive work has been
conducted on its structural or blast performance [14, 15], but very little is known
about its behaviour under real fire conditions. In particular, although recent work
highlighted LG has the best ability to keep integrity during a fire compared with clear,
coated and insulated glazing, the knowledge about LG behaviour under thermal
loading is only limited to the heat transfer process [16, 17]. The thermal breakage
mechanism of LG still needs to be understood further.
In this work, two full-scale experimental results will be introduced in detail based on
the authors’ previous preliminary tests [16]. The robust Finite Element (FE) models
were created in ABAQUS 6.12 to investigate the temperature variation, stress
distribution and breakage time of LG. After the validation of the heat transfer and
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mechanical models by the experimental results, a parametric study, concerning the
thickness of gel layer and the number of glass layers, was conducted. The results of
this study are proposed to provide an effective evaluation of LG thermal breakage
behaviour under fire conditions. The specific analysis is demonstrated in the
following sections.
2. Brief description of experiments
The two laminated glass tests can be found in the authors’ previous work [16]. The
measured temperature and breakage time are used to validate the FE models. In this
work, the key information is given below.
2.1 Descriptions
As shown in Fig. 1(a), a LG panel was placed 20 cm above the ground and 750 mm
away from a 500×500 mm2 square pool fire. The LG panel consisted of two
600×600×6 mm3 float clear glass panels attached together by a 0.38 mm interlayer of
PVB film, generating a total thickness of 12.38 mm (Fig. 1(b)). The glass used in the
experiments is soda-lime glass consist of 73% SiO2, 9% CaO and 14% Na2O. A
digital camera was placed on the ambient side of the glass to record the breakage time
and path.
Two tests were conducted using the fuel consisting of 99% mass fraction N-heptane
with different fuel masses of 2 kg and 4 kg for Test 1 and Test 2 respectively. Test 1
and Test 2 burnt for 274 s and 492 s respectively. To present the glass and surface
clearly, for each LG, the glass panel on the fire side is named as Pane 1 and the
ambient side glass panel is Pane 2. The four surfaces of the laminated glass panel are
named as S1, S2, S3 and S4 from the fire side to the ambient side, as shown in Fig.
1(b).
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(a) The arrangement of experimental setup
(b) The names of each pane and
surface
(c) The distribution of measurement
instruments (viewed from fire side)
Fig. 1. The experimental schematic [16].
A well-designed frame made of stainless steel was employed for glass support. The
width of the covered region at the glass edge was 20 mm. In the thickness direction,
the glass pane was clamped using several thin strips, and the clamping pressure could
be controlled by revolving screws. This design ensured the glass panes to be
appropriately constrained in the x, y and z directions, so that the boundary condition
of an actual double glazing unit could be more closely approximated. It should be
noted that the thermal expansion or deflection of stainless steel frame would not be
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significant under such experimental condition [18]. This could ensure the glass pane
was free to expand against the framing so that mechanical effect of framing on
glazing was very limited.
A data acquisition system with 16 channels for thermocouples was used, with the
sampling time adjusted to 1 s. A Gardon water-cooled total heat flux gauge with a
measurement range of 0-50 kW/m2 was employed to measure the incident heat flux on
the glass. The gauges were fixed off the side of each glass pane and mounted flush to
the surface of the glass sections, so as to situate them as close to the measurement
location as possible. As it is impossible to drill into the glass sections to mount the
gauges, this method is considered desirable for heat flux measurement of glass pane
[6, 7, 19].
Sheet K-type thermocouples were attached to the glass panes using high-temperature
resistant adhesive and were numbered TC1-TC10 (Fig. 1(c)). Only TC10 was
attached to the ambient side surface (S4), while the other nine thermocouples were on
the fire side surface (S1). The thermocouples were made by a professional local
manufacturer, with a measurement range of 0-1200 ºC and sensitivity of 41 µV/ºC.
Due to the influence of smoke/fire radiation, the uncertainty of temperature
measurement is evaluated at ±5% [9].
2.2 Experimental results
Incident heat flux, heat release rate (HRR), glass surface temperature, gas temperature
and breakage time were recorded. In this work, for the verification of numerical
model, only glass surface temperatures and breakage times are presented. The
experimental condition and results of the two tests are summarized in Table 1.
Table 1. The summary of experimental conditions and results [16].
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Fuel mass
(kg)
Time of first crack
occurrence (s)
Temperature difference
(°C)
Incident heat flux
(kW/m2)
Pane 1 Pane 2 Pane 1 Pane 2 Pane 1 Pane 2
Test 1 2 118 199 96 -- 10.98 14.31
Test 2 4 258 332 79 -- 9.93 13.43
The glass surface temperatures measured in experiments are shown in Fig. 2. It can be
seen that in both tests the temperatures measured at different points in exposed areas,
i.e. T2, T4, T5, T6 and T8, are very similar before cracking; this also occurs in the
covered area, i.e. T1, T3, T7 and T9. Thus, in the numerical simulation, the thermal
loading is assumed uniform and have been averaged in the exposed and covered areas
(Eq. 1 and Eq. 2), which has been proved reasonable under this pool fire condition
[9].
22\* MERGEFORMAT ()
33\* MERGEFORMAT ()
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Fig. 2. The temperatures of Tests 1 [16] and 2.
It should be noted that in Tests 1 and Test 2, the fuel masses are respectively 2 kg and
4 kg. When the fuel mass increased, the temperature increase rate decreased, which
was caused by the combustion characteristic of pool fire: the thicker fuel needs more
time to reach a high HRR after ignition [20]. The incident heat flux of the two tests
are illustrated in Fig. 3, which can confirm the pool fire characteristic. Thus, glass
panel took less time to break in Test 1 than that of Test 2. However, the different two
tests can enhance the validation of the numerical model.
Fig. 3. The total heat flux of Tests 1 and 2.
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3. Numerical simulation
For model verification, two sets of three-dimensional (3D) uncoupled heat transfer
and mechanical models were created in ABAQUS 6.12 [21] for both Tests 1 and Test
2. Parametric study were then conducted for various types of LG as described in
Section 4 based on the validated FE models.
3.1. Thermal model
To determine the structural response of laminated glazing to fire, a heat transfer
analysis was firstly performed to obtain the thermal variation to be applied to the
structural models. Two heat transfer models have been simulated using measured
temperatures on S1 from Test 1 and Test 2.
3.1.1. Model description
The eight-node solid elements DC3D8 are employed. A heat transfer model was
created with 10 mm element size along the LG length and width. In the model, there
are seven elements (three for each glass panel and one for the PVB layer) along the z-
axis, resulting in 25200 elements in total, as shown in Fig. 4(a). The mesh in x and y
axis was proved to be suitable for the glass with this dimension [22]. The material
properties of clear float glass and PVB at ambient temperature are listed in Table 2
[10, 23, 24], which are used in both thermal and structural models.
Table 2. The physical properties of glass and PVB [10, 23, 24].
Properties Symbol Value
Glass
Density (kg/m3) ρ 2500
Thermal expansion coefficient (1/K) β 8.46×10-6
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Reference temperature (K) TR 280
Specific heat capacity (J/(kg·K)) c 820
Thermal conductivity (W/(m·K)) k 0.94
Emissivity ε 0.85
PVB
Density (kg/m3) ρPVB 1070
Thermal expansion coefficient (1/K) βPVB 4×10-4
Reference temperature (K) TRPVB 280
Modulus of elasticity (Pa) EPVB 5.0×107
Poisson’s ratio νPVB 0.49
Specific heat capacity (J/(kg·K)) cPVB 1100
Thermal conductivity (W/(m·K)) kPVB 0.221
The average temperatures (Fig. 4(b)) of the measuring results from the experiments
were applied as boundary conditions in exposed and covered areas on S1. Since the
experiments were conducted in open space, the surrounding gas temperature on S4 is
assumed keeping constant as 280 K.
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(a) Mesh grid
(b) Temperature loading on S1
Fig. 4. Thermal loading and mesh generation in simulations of Tests 1 and 2.
It is assumed that the heat exchange between LG and ambient only occur on S4 by
convection and radiation during the fire. The convection coefficient and effective
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emissivity factor was set to 40 W/(m2·K) [5] and 0.85 [23], respectively. It is well
known that the uncoated glass has an emissivity for both exposed and unexposed
surfaces between 0.8-0.9 [25] or 0.85 [23], thus the usage of identical emissivity of
0.85 for S4 should be reasonable.
Thermal boundary conditions are specified as prescribed temperature, surface
convection (Eq. 3) and radiation (Eq. 4).
44\* MERGEFORMAT ()
55\* MERGEFORMAT ()
where q̇ ¿ is the heat flux, h is the film coefficient, is the prescribed temperature, θ0 is
the sink temperature, is the emissivity, is the Stefan-Boltzmann constant,θZ is the
value of absolute zero on the temperature scale being used.
Heat conduction is assumed governed by the Fourier law:
66\* MERGEFORMAT ()
where k is the thermal conductivity and x is the position.
3.1.2. Validation
In order to validate the thermal models, the temperature measured by TC10 at the
centre of S4 was compared to the temperature predicted by the heat transfer models
(Fig. 5). It can be seen that the numerical results agree very well with the
experimental results, indicating the heat transfer model is capable of predicting the
glazing temperature under fire conditions. As shown in Fig. 5, the temperature
measured in Test 2 is slightly higher than numerical results after around 400 s. This is
likely to be caused by the direct flame heating that went through the bubbles in PVB
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and the cracks around TC10 in Pane 1 (as seen in Fig. 6), which has not been
considered in the heat transfer model. It should be noted that all the cracks occurred
before 350 s in both tests, so the deviation does not affect the numerical analysis in
the present work.
Fig. 5 Comparison of the temperature at the centre of S4 between experimental and numerical results
Fig. 6. The crack path in Test 2
3.1.3. Heat transfer analysis
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The temperature distributions of S3 on Pane 2 at breakage time (199 s and 332 s in
Test 1 and Test 2) are illustrated in Fig. 7 with an identical temperature legend. It can
be found that, at breakage time, the S3 temperature field in both simulations are
similar, with central temperatures of 100 °C in Test 1 and 114 °C in Test 2 and
covered temperatures of 30 °C in Test 1 and 41 °C in Test 2. Thus, the temperature
differences between the covered and uncovered region of Pane 2 at breakage time are
respectively 70 °C and 73 °C in Tests 1 and 2, which are slightly lower than that of
Pane 1 (96 °C and 79 °C) but still consistent with the critical temperature difference
of 60-90 °C in the previous work [2, 4, 26].
Fig. 7 The temperature field (K) of S3 at the time of Pane 2 breakage, Test 1(left) and Test 2 (right)
To investigate the temperature gradient along the thickness, the temperature variances
at exposed and covered areas on S1-S4 are shown in Fig. 8. It can be seen that the
temperature differences between the exposed and covered areas are significant on all
surfaces. Pane 1 plays a very important role for thermal resistance as seen by the
significant temperature decrease from S1 to S2. Thus, although the fuel masses are
different between the tests, the final temperature of PVB layer and Pane 2 are very
similar, which are approximately 150 °C and 100 °C respectively. The temperature
field will be implemented into the mechanical model to calculate the stress
distribution in LG.
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Fig. 8. Temperatures measured on each surface, Test 1 and Test 2.
3.2. Structural model
In order to investigate the failure mechanisms of the laminated glass, a thermo-
mechanical analysis has been conducted.
3.2.1. Model descriptions
The model consists of 25,200 C3D8 elements which has the same grid size as the heat
transfer model. Temperature-independent mechanical properties, as illustrated in Fig.
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9 and Table 3, include glass tensile strength, elasticity modulus and poisson’s patio
which were obtained from the author’s previous tests using MTS 810 and open
literature [10, 27]. The tensile strength of glass was measured at 25-400 °C [10]. The
soda-lime glass normally has a constant coefficient of linear expansion at 25-400 °C
[27] which is 9.6×10-6 1/K [28]. However, the authors measured the average thermal
expansion coefficient of 8.46×10-6 1/K using Netzsch Dilatometer [10]. The slight
difference may be caused by the manufacturing procedure and raw materials. Thus, in
the numerical models, the thermal expansion coefficient is assumed constant with the
value of 8.46×10-6 1/K.
Fig. 9. The applied temperature-dependent properties.
Table 3. The temperature dependent physical properties [10, 27].
Temperature (°C) Tensile strength (MPa) Elasticity modulus (GPa) Poisson’s ratio
25 35.72 72.90 0.165
75 27.96 -- --
100 26.60 74.00 0.171
125 29.07 -- --
150 30.92 -- --
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200 32.00 75.10 0.173
300 30.16 76.2 0.175
400 29.78 77.2 0.177
It should be noted that the thermal expansion or deflection of stainless steel frame
would not be significant under such experimental condition [18]. The glass frame
offers no restraint to the glass since the maximum expansion is less than 1 mm which
is less than the normal gap of several mm between the frame and the panel [2, 4]. This
could ensure the glass pane was free to expand against the framing so that mechanical
effect of framing on glazing was very limited. The vertical support of glass panel is
modelled by restraining the vertical movement of the bottom surface of the glass.
It is very difficult to know the interaction status between the glass panel and the PVB
layer, it was assumed that the glass and PVB behaved in same motion by rigidly
restrained to each other at the interface. Considering the pool fire condition in which
the PVB layer did not significantly detach, as observed after tests, thus the assumption
should be reasonable.
3.2.2. Crack initiation validation
The thermal stress distribution is calculated by implementing the temperature variance
at each node in glazing. Once the maximum principle stress exceeds the temperature-
dependent tensile strength of glass, the crack in glass pane is assumed to be initiated
[9]. In experiments, all the cracks were initiated at the edges of glass panel, thus this
paper focus on the maximum stress in the edge area. As the numerical model is
central symmetry, the crack initiation located at each edge center in the real situations.
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The stress contours at the time of breakage of Pane 1 and Pane 2 in Test 1 and Test 2
are shown in Fig. 10, where the white area represents the stress which is larger than
the tensile strength. In Fig. 10(a), It can be seen that the exceeding stress appears in
the middle area around the glass edge, which is very consistent with the conclusion
that the all crack initiation locations were within the area between left and right
quarter point of the glass edge [-0.25L, +0.25L] (the origin is at the centre of glass
edge; L is the edge length) in previous 27 experiments. Through comparing the tensile
stress along the glass panel edge, it was found that for Pane 1, the stress at the centre
of edge of S1 is maximum; for Pane 2, the maximum stress point appears at the centre
of edge of S3. The stress distributions of other panels are illustrated in Figs. 10(b)-(d),
showing that the specific location of maximum stress in Pane 2 is also located in the
middle edge section. Therefore, both the breakage time and crack initiation location
agree well with the experimental results, as shown in Fig. 11, confirming the
reasonability of mechanical model.
(a) Pane 1, Test 1
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(b) Pane 2, Test 1 (c) Pane 1, Test 2
(d) Pane 2, Test 2
Fig. 10. The maximum principle stress at breakage time.
Fig. 11. The crack path of Tests 1 (left) and 2 (right) (viewed from the ambient side).
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3.2.3. Breakage time validation
The predicted breakage times from thermo-mechanical models are used to compare
with the observed experimental results. The maximum normal stress criterion, also
known as Coulomb’s criterion, is employed for crack criteria, which states that crack
occurs when the maximum normal stress reaches the ultimate strength of the material
[29]. The ultimate tensile strength is smaller than compressive strength in most cases.
By assuming the same ultimate strength Sut in tension and compression, which means
that the glass panel cracks in the multi-axial state of stress when the maximum normal
stress exceeds the ultimate tensile or compressive strength. This is the safer way to
predict the crack initiation, and can be written as:
77\* MERGEFORMAT ()
where Sut is the ultimate tensile stress of glass pane. Here Sut (T) is temperature
dependent.
In the FE models, the glass panels are considered to break once the maximum
principle stress exceeds the defined tensile strength of glass. The maximum principle
stress histories of Points 1 and 2 (covered area) are calculated and compared with
temperature-dependent tensile strength, as shown in Fig. 12. The highlighted crossing
point represents the stress exceeds the tensile strength at a certain temperature and
thus the first crack occurs. Then the breakage time can be obtained according to the
corresponding covered-area temperature on the x-axis, as listed in Table 4. It can be
seen that the breakage times of the two fire-exposed glass panels generally agree very
well with the experimental results, with the errors smaller than 11%. However, the
relatively large errors in Pane 2 of Test 1 should be noted: the predicted time is
significantly smaller than experimental work. This may be caused by the assumption
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of uniform thermal loading, where the temperature difference at crack initiation
location (right edge viewed from the ambient side) is larger than experiments
resulting in earlier breakage time.
(a) The location of studied point
(b) The stress history of Points 1 and 2 of Test 1
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(c) The stress history of Points 1 and 2 of Test 2
Fig. 12. The stress history at the glass edge center for Test 1 and Test 2.
Table 4. The summary of breakage times.
Glass panes Experimental (s) Numerical (s)
Test 1Pane 1 118 105
Pane 2 199 137
Test 2Pane 1 258 235
Pane 2 332 274
4. Parametric study and discussion
The numerical heat transfer and mechanical model has been verified by the
experimental results, which were then used for parametric analysis. The parameters
regarding the various types of LG have been studied, including the interlayer
thickness and number of glass layer, which have the significant effect on LG fracture
behaviour under impact loading [30]. The different glass types, such as float and
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tempered glazing have been considered, however have a very limited effect on the
heat transfer process due to almost identical thermal conductivity.
The specific values used in the parametric study are summarized in Table 5.
Parametric study (PS) 1, 2, 3 and 4 (Group 1) are designed to investigate the effect of
interlayer thickness; PS 1, 5 and 6 (Group 2) are for the glass layer number
investigation. The thermal loading of Test 1, with shorter calculation time, is applied
to these simulations and the temperature gradient across the thickness direction at
different times are obtained.
Fig. 13. The heat transfer through the thickness of LG.
In Fig. 13, it can be seen that the two factors can significantly affect the temperature
distribution, among which the glass layer can affect the temperature much more than
the interlayer thickness. In particular, for PS5 and PS6, the ambient glass
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temperatures are almost as low as room temperature. The change in temperature will
then influence the breakage times of Pane 1 and Pane 2.
The breakage time is determined by the first principle stress as well and listed in
Table 5. It can be seen from Group 1 that the Pane 1 breakage time decreases from
105 s to 101 s with the increase of gel layer thickness. This result is caused by the low
heat conductivity of PVB layer, resulting in more heat stored in Pane 1 when the PVB
thickness increases. Thus, the breakage time of Pane 1 decreases. This phenomenon is
similar to the glass tests with different heat conduction lump attached to the back of
single glazing, in which the lump with lower heat conductivity induced higher
temperature in glazing [31].
No. of
Simulations
Glass
layer
number
Glass
thickness
(mm)
Interlayer
thickness
(mm)
Pane 1
(s)
Pane 2
(s)Pane 3 (s) Pane 4 (s)
PS1 2 0.6 0.38 105 137 -- --
PS2 2 0.6 0.76 103 144 -- --
PS3 2 0.6 1.14 102 148 -- --
PS4 2 0.6 1.52 101 153 -- --
PS5 3 0.6 0.38 117 142 No failure --
PS6 4 0.6 0.38 131 147 232 No failure
Table 5. The summary of the parametric analysis and breakage times.
For Group 2, the breakage times of Pane 1 increase when the glass layer number
increases. If the number of the glass layer is 3 or 4, the ambient side panel will not
break which indicates the significant fire resistance improvement.
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To clearly demonstrate the relationship, the breakage times of Groups 1 and 2 are
plotted in Fig. 14. Different from Pane 1, the breakage time of Pane 2 increase
monotonically. The results suggest that the interlayer thickness of 0.38 mm can
provide relatively high fire resistance although the 1.52 mm-thick interlayer perform
best. On the other hand, for PS5 and PS6, the three layer of glazing is good enough
for the design fire in this work. The increase of interlayer thickness and glass layer
number will increase the construction cost. Therefore, the cases of PS1 and PS5 are
recommended considering their fire performance and expenditure. However, more
experimental studies should be conducted for LG under real fire conditions, which are
anticipated different from single and insulated glazing.
Fig. 14. The breakage time of Pane 1 and Pane 2 varied with (a) thickness of PVB interlayers and (b)
number of glass layer.
5. Conclusions
In this work, FEM heat transfer and mechanical models were created and validated by
the experiments. The temperature-independent thermal properties of glazing were
employed and the failure mechanism of LG in the fire was revealed. Meanwhile, a
parametric study was conducted to investigate the effect of PVB layer thickness and
number of glass panels on the LG fire performance. The primary conclusions are as
follows:
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1) As it is almost impossible to insert thermocouples into LG without structural
destruction in experiments, the calculated results would be helpful for the
understanding of heat transfer process in LG, particularly PVB layer and Pane.
2) The LG demonstrates good fire resistance in experiments as the cracked glass
panels can still hold together preventing the new vent formed under fire
conditions.
3) The FEM heat transfer and mechanical model developed in ABAQUS can
well predict the LG temperature distribution and thermal stress both in Pane 1
and Pane 2.
4) The breakage times determined by the first principle stress are generally
consistent with experimental results as well which indicate the verification of
the numerical model.
5) Both the interlayer thickness and glass layer number have a significant
influence on the temperature and stress distribution in glazing, resulting in
considerably different breakage times.
6) Considering the fire resistance and the construction cost, the LG of PS1 and
PS5 are recommended to be used. More experiments need to be conducted in
real fire conditions for further analysis.
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