Bushfire-related building losses cause adverse economic impacts to countries prone to bushfires. Building materials and components play a vital role in reducing these impacts. However, due to high costs of experimental studies and lack of numerical studies, the heat transfer behavior of building’s external components in bushfire-prone areas has not been adequately investigated. Often large-scale heat transfer models are developed using Computational Fluid Dynamics (CFD) tools, and the availability of CFD models for heat transfer in building components improves the understanding of the behavior of systems and systems of systems. Therefore, this paper uses a numerical modeling approach to investigate the bushfire/wildfire resistance of external Light gauge Steel Framed (LSF) wall systems. Both full-scale and small-scale heat transfer models were developed for the LSF wall systems. Experimental results of six internal and external LSF wall systems with varying plasterboard thickness and cladding material were used to validate the developed models. The study was then extended to investigate the bushfire resistance of seven external wall systems under two different bushfire flame zone conditions. The results illustrate the significant effects of fire curves, LSF wall components and configuration on the heat transfer across the walls. They have shown 1) the favorable performance of steel cladding and Autoclaved Aerated Concrete (AAC) panels when used on the external side of wall systems and 2) the adequacy of thin-walled steel studs’ load-bearing capacity during bushfire exposures. This study has shown that most of the investigated external LSF walls could be reused with cost-effective retrofitting such as replacing the Fire Side (FS) steel cladding after bushfire exposures. Overall, this study has advanced the understanding of the behavior of external light steel framed walls under bushfire flame zone conditions.
75 mm AAC (external) and 16 mm gypsum plasterboard (internal)
Glass fibre (24 kg/m3)
600
Tab.1
Fig.1
Fig.2
Model ID
Model dimensions (width × height) (mm)
Top and bottom boundary
Cavity sides boundary
B1
600 × 3000
ADIABATIC
MIRROR
B2
600 × 1000
ADIABATIC
MIRROR
B3
200 × 1000
ADIABATIC
MIRROR
B4
600 × 200
ADIABATIC
MIRROR
B5
1200 × 200
ADIABATIC
MIRROR
B6
600 × 200
ADIABATIC
Steel studs
Tab.2
Fig.3
Fig.4
Description
Mesh size
15 mm
10 mm
5 mm
Cell count
2028
7200
172800
No of message passing interface processes
3
3
3
CPU time (min)
75
238
3847
Tab.3
Fig.5
Fig.6
Fig.7
Fig.8
Fig.9
Fig.10
Fig.11
Fig.12
Test ID
Failure time (min)
Failure criterion
Test
Model
Internal walls
T1
94
79
insulation failure (average temperature)
T2
56
59
insulation failure (average temperature)
T3
106
108
insulation failure (average temperature)
T4
197
> 240
insulation failure (maximum temperature)
External walls
T5
23
22
insulation failure (average temperature)
T6
> 210
> 210
–
Tab.4
Fig.13
Test ID
Wall configuration
Details
Maximum ambient surface temperature
Fire Curve 1
Fire Curve 2
PS1
In PS1 to PS5, walls, a 0.42 mm steel cladding was fixed to the FS plasterboard/ fibre cement board using a 40 mm batten
85
63
PS2
101
71
PS3
57
45
PS4
45
42
PS5
218
150
PS6
same as T6
35
31
PS7
same as T6 with no cavity insulation
49
39
Tab.5
Fig.14
Fig.15
Fig.16
Fig.17
Fig.18
Fig.19
Fig.20
Fig.21
Fig.22
1
H Buechi, P Weber, S Heard, D Cameron, A J Plantinga. Long-term trends in wildfire damages in California. International Journal of Wildland Fire, 2021, 30(10): 757–762 https://doi.org/10.1071/WF21024
2
Australia Limited Standards. Methods for Fire Tests on Building Materials, Components and Structures, Part 8.2: Tests on Elements of Construction for Buildings Exposed to Simulated Bushfire Attack––Large Flaming Sources. Sydney: Standards Australia Ltd., 2018
3
Australia Limited Standards. Construction of Buildings in Bushfire-Prone Areas. Sydney: Standards Australia Ltd., 2018
4
1144 NFPA. Standard for Reducing Structure Ignition Hazards from Wildland Fire. Quincy, MA: NFPA, 2013
5
IWUIC 2018. International Wildland Urban Interface Code. Washington, D.C.: International Code Council, 2018
6
D Jessop, A Abu, C Wade, M Spearpoint, H Gerlich. Performance of a light timber-framed compartment in natural fire subjected to lateral load. Fire and Materials, 2019, 43(2): 175–188 https://doi.org/10.1002/fam.2684
7
J Jiang, Y Lu, X Dai, G Q Li, W Chen, J Ye. Disproportionate collapse of steel-framed gravity buildings under travelling fires. Engineering Structures, 2021, 245: 112799 https://doi.org/10.1016/j.engstruct.2021.112799
8
Q Zhan, Y Xiao, F Musso, L Zhang. Assessing the hygrothermal performance of typical lightweight steel-framed wall assemblies in hot-humid climate regions by monitoring and numerical analysis. Building and Environment, 2021, 188: 107512 https://doi.org/10.1016/j.buildenv.2020.107512
9
A D Ariyanayagam, M Mahendran. Numerical modelling of load bearing light gauge steel frame wall systems exposed to realistic design fires. Thin-walled Structures, 2014, 78: 148–170 https://doi.org/10.1016/j.tws.2014.01.003
10
A D Ariyanayagam, M Mahendran. Experimental study of non-load bearing light gauge steel framed walls in fire. Journal of Constructional Steel Research, 2018, 145: 529–551 https://doi.org/10.1016/j.jcsr.2018.02.023
11
S Kesawan, M Mahendran. A review of parameters influencing the fire performance of light gauge steel frame walls. Fire Technology, 2018, 54(1): 3–35 https://doi.org/10.1007/s10694-017-0669-8
12
S Gnanachelvam, A Ariyanayagam, M Mahendran. Fire resistance of LSF wall systems lined with different wallboards including bio-pcm mat. Journal of Building Engineering, 2020, 32: 101628 https://doi.org/10.1016/j.jobe.2020.101628
13
Y Tao, M Mahendran, A Ariyanayagam. Fire tests of cold-formed steel walls made of hollow section studs. Journal of Constructional Steel Research, 2021, 178: 106495 https://doi.org/10.1016/j.jcsr.2020.106495
14
Q XuH HofmeyerJ MaljaarsR A van Herpen. Thermomechanical modelling of sandwich panels with connections in fire resistance tests. In: Proceedings of the SiF 2022––The 12th International Conference on Structures in Fire. Hong Kong, China: PolyU, 2022, 703–714
15
J de Boer, H Hofmeyer, J Maljaars, R Van Herpen. Two-way coupled CFD fire and thermomechanical FE analyses of a self-supporting sandwich panel facade system. Fire Safety Journal, 2019, 105: 154–168 https://doi.org/10.1016/j.firesaf.2019.02.011
16
J Pancheti, M Mahendran. Fire resistance of external light gauge steel framed walls clad with autoclaved aerated concrete panels. Thin-walled Structures, 2021, 167: 108201 https://doi.org/10.1016/j.tws.2021.108201
17
S Hendawitharana, A Ariyanayagam, M Mahendran, E Steau. Bushfire resistance of external light steel wall systems lined with fibre cement boards. Fire Safety Journal, 2023, 139: 103806 https://doi.org/10.1016/j.firesaf.2023.103806
18
J Pancheti, M Mahendran, E Steau. Fire resistance of external LSF walls with corrugated steel cladding. Journal of Constructional Steel Research, 2022, 188: 107008 https://doi.org/10.1016/j.jcsr.2021.107008
19
J Pancheti, M Mahendran. Fire resistance of external light gauge steel framed walls with brick veneer cladding. Thin-walled Structures, 2023, 182: 110162 https://doi.org/10.1016/j.tws.2022.110162
20
S Hendawitharana, A Ariyanayagam, M Mahendran, E Steau. Evaluating the bushfire resistance of a safe room using full-scale experiments. Structures, 2023, 49: 995–1015 https://doi.org/10.1016/j.istruc.2023.01.126
21
A D Ariyanayagam, M Mahendran. Influence of cavity insulation on the fire resistance of light gauge steel framed walls. Construction & Building Materials, 2019, 203: 687–710 https://doi.org/10.1016/j.conbuildmat.2019.01.076
22
M Rusthi, P Keerthan, M Mahendran, A Ariyanayagam. Investigating the fire performance of LSF wall systems using finite element analyses. Journal of Structural Fire Engineering, 2017, 8(4): 354–376
23
M Peiris, M Mahendran. Advanced numerical modelling of light-gauge steel framed walls subject to eccentric compression. Engineering Structures, 2022, 256: 114063 https://doi.org/10.1016/j.engstruct.2022.114063
24
C MaH LuR LiM Qu. One-dimensional finite difference model and numerical simulation for heat transfer of wall in chinese solar greenhouse. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(6): 231–237 (in Chinese)
25
H MagarabooshanamA D AriyanayagamM Mahendran. Numerical study of double stud LSF walls exposed to fire conditions. In: Proceedings of Cold-Formed Steel Research Consortium Colloquium 2020. Baltimore, MD: JScholarship, 2020
26
G Hadjisophocleous, Q Jia. Comparison of FDS prediction of smoke movement in a 10-storey building with experimental data. Fire Technology, 2009, 45(2): 163–177 https://doi.org/10.1007/s10694-008-0075-3
27
D Lázaro, E Puente, M Lázaro, P G Lázaro, J Peña. Thermal modelling of gypsum plasterboard assemblies exposed to standard fire tests. Fire and Materials, 2016, 40(4): 568–585 https://doi.org/10.1002/fam.2311
28
Q Nguyen, T Ngo, P Tran, P Mendis, L Aye, S K Baduge. Fire resistance of a prefabricated bushfire bunker using aerated concrete panels. Construction & Building Materials, 2018, 174: 410–420 https://doi.org/10.1016/j.conbuildmat.2018.04.065
29
J Zhou, X Zhou, B Cong, W Wang. Comparison of different CFD-FEM coupling methods in advanced structural fire analysis. International Journal of Thermal Sciences, 2023, 193: 108465 https://doi.org/10.1016/j.ijthermalsci.2023.108465
30
J Zhou, X Zhou, B Cong, W Wang. Numerical study of the convective heat transfer coefficient for steel column surrounded by localized fires. Fire Safety Journal, 2023, 141: 103987 https://doi.org/10.1016/j.firesaf.2023.103987
31
J Zhou, X Zhou, B Cong, W Wang, M Gu. Simulation of steel beam under ceiling jet based on a wind−fire−structure coupling model. Frontiers of Structural and Civil Engineering, 2023, 17(1): 78–98 https://doi.org/10.1007/s11709-022-0936-8
32
J Glasa, L Valasek, P Weisenpacher, L Halada. Cinema fire modelling by FDS. Journal of Physics: Conference Series, 2013, 410: 012013
33
A Cicione, M Beshir, R Walls, D Rush. Full-scale informal settlement dwelling fire experiments and development of numerical models. Fire Technology, 2020, 56(2): 639–672 https://doi.org/10.1007/s10694-019-00894-w
34
S Hendawitharana, A Ariyanayagam, M Mahendran, F Gonzalez. Lidar-based computational fluid dynamics heat transfer models for bushfire conditions. International Journal of Disaster Risk Reduction, 2021, 66: 102587 https://doi.org/10.1016/j.ijdrr.2021.102587
K McGrattanS HostikkaJ FloydR McDermottM VanellaE Mueller. Fire Dynamics Simulator-Technical Reference Guide. Gaithersburg, MD: NIST Special Publication, 2023, 1018–1
37
A Kuzyk, T Skorobagatko, S Yemelyanenko, O Borys, O Dobrostan. Computer simulation of fire test parameters façade heat insulating system for fire spread in fire dynamics simulator (FDS). Series of Geology and Technical Sciences, 2020, 4(442): 35–44
38
P BlakeH PhylaktouG Andrews. Validating FDS against a full-scale fire test. In: Proceedings of 2018 Fire and Evacuation Modeling Technical Conference. Gaithersburg, MD: FEMTC, 2018
39
Q Li, C Zhang, G Q Li. Symmetric modeling of the thermal actions in a structural fire experiment on a long-span composite floor beam in a compartment. Fire Safety Journal, 2021, 120: 103079 https://doi.org/10.1016/j.firesaf.2020.103079
40
J R HowellM P MengücK DaunR Siegel. Thermal Radiation Heat Transfer. Boca Raton, FL: CRC Press, 2020
41
K McGrattanR McDermottM VanellaS HostikkaJ Floyd. Fire Dynamics Simulator Technical Reference Guide Volume: 2 Verification. Gaithersburg, MD: NIST Special Publication, 2021, 1018–2
42
J Zehfuß, L Sander. Gypsum plasterboards under natural fire—Experimental investigations of thermal properties. Civil Engineering Design, 2021, 3(3): 62–72 https://doi.org/10.1002/cend.202100002
43
A AriyanayagamM Mahendran. Thermal Finite Element Analysis of Peer Stud Walls Lined with Gypsum Plasterboards––Part 1. Brisbane: Queensland University of Technology, 2016
44
V Jatheeshan, M Mahendran. Experimental study of cold-formed steel floors made of hollow flange channel section joists under fire conditions. Journal of Structural Engineering, 2016, 142(2): 1409
45
Y TaoM MahendranA Ariyanayagam. Load-bearing walls made of cold-formed steel hollow section studs exposed to fire. In: Proceedings of 9th International Conference on Steel and Aluminium Structures: ICSAS19. London: Independent Publishing Network, 2019, 1533–1544
46
J Pancheti. Fire Resistance of external light gauge steel framed wall systems. Dissertation for the Doctoral Degree. Brisbane: Queensland University of Technology, 2022
47
S Gnanachelvam. Fire and energy performance of cold-formed steel frame wall systems. Dissertation for the Doctoral Degree. Brisbane: Queensland University of Technology, 2020
48
K McGrattanR McDermottM VanellaS HostikkaJ Floyd. Fire Dynamics Simulator Technical Reference Guide Volume: 3 Validation. Gaithersburg, MD: NIST Special Publication, 2021, 1018–3
49
D I Kolaitis, M A Founti. Development of a solid reaction kinetics gypsum dehydration model appropriate for CFD simulation of gypsum plasterboard wall assemblies exposed to fire. Fire Safety Journal, 2013, 58: 151–159 https://doi.org/10.1016/j.firesaf.2013.01.029
50
K G Wakili, E Hugi, L Karvonen, P Schnewlin, F Winnefeld. Thermal behaviour of autoclaved aerated concrete exposed to fire. Cement and Concrete Composites, 2015, 62: 52–58 https://doi.org/10.1016/j.cemconcomp.2015.04.018
51
A Ariyanayagam, M Mahendran. Fire performance of load bearing LSF wall systems made of low strength steel studs. Thin-walled Structures, 2018, 130: 487–504 https://doi.org/10.1016/j.tws.2018.05.018
52
A Ariyanayagam, M Mahendran. Residual capacity of fire exposed light gauge steel frame walls. Thin-walled Structures, 2018, 124: 107–120 https://doi.org/10.1016/j.tws.2017.11.048
53
N Kankanamge, M Mahendran. Mechanical properties of cold-formed steels at elevated temperatures. Thin-walled Structures, 2011, 49(1): 26–44 https://doi.org/10.1016/j.tws.2010.08.004
54
S Gnanachelvam, A Ariyanayagam, M Mahendran. Effects of insulation materials and their location on the fire resistance of LSF walls. Journal of Building Engineering, 2021, 44: 103323 https://doi.org/10.1016/j.jobe.2021.103323