Fire behaviour of deep beams under unsymmetrical loading

2022 ◽  
Vol 250 ◽  
pp. 113419
Author(s):  
Shengxin Fan ◽  
Yao Zhang ◽  
Kang Hai Tan
PCI Journal ◽  
1974 ◽  
Vol 19 (4) ◽  
pp. 86-99
Author(s):  
Michel Sargious ◽  
Gamil Tadros
Keyword(s):  

2012 ◽  
Vol 18 (11) ◽  
pp. 1311-1318
Author(s):  
Hosoon Choi ◽  
Sung-Gul Hong ◽  
Young Hak Lee ◽  
Heecheul Kim ◽  
Dae-Jin Kim

2001 ◽  
Vol 10 (2) ◽  
pp. 241 ◽  
Author(s):  
Jon B. Marsden-Smedley ◽  
Wendy R. Catchpole

An experimental program was carried out in Tasmanian buttongrass moorlands to develop fire behaviour prediction models for improving fire management. This paper describes the results of the fuel moisture modelling section of this project. A range of previously developed fuel moisture prediction models are examined and three empirical dead fuel moisture prediction models are developed. McArthur’s grassland fuel moisture model gave equally good predictions as a linear regression model using humidity and dew-point temperature. The regression model was preferred as a prediction model as it is inherently more robust. A prediction model based on hazard sticks was found to have strong seasonal effects which need further investigation before hazard sticks can be used operationally.


Structures ◽  
2021 ◽  
Vol 31 ◽  
pp. 1106-1129
Author(s):  
Mona K. Ghali ◽  
Mohamed Said ◽  
T.S. Mustafa ◽  
Abdallah A. El-Sayed

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