2015
DOI: 10.1016/j.engstruct.2015.06.005
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A performance indicator for structures under natural fire

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Cited by 63 publications
(40 citation statements)
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“…However, these studies have not answered the question about the influence of the additional reduction on the possible delayed failures of concrete members, which may occur long after the fire has been extinguished. The importance of exploring concrete behaviour after reaching the maximum temperatures has already been illustrated in recent scientific research [6], [7], where a new performance parameter was proposed to take into account the cooling phase in the assessment of fire resistance. The new parameter pointed to a large difference in the fire resistance of concrete members if the cooling phase of the fire curve is included in the analysis.…”
Section: Introductionmentioning
confidence: 99%
“…However, these studies have not answered the question about the influence of the additional reduction on the possible delayed failures of concrete members, which may occur long after the fire has been extinguished. The importance of exploring concrete behaviour after reaching the maximum temperatures has already been illustrated in recent scientific research [6], [7], where a new performance parameter was proposed to take into account the cooling phase in the assessment of fire resistance. The new parameter pointed to a large difference in the fire resistance of concrete members if the cooling phase of the fire curve is included in the analysis.…”
Section: Introductionmentioning
confidence: 99%
“…It is assumed that the thermal and mechanical properties are not recovered during cooling; they keep the value corresponding to the maximum temperature that was reached. More details about the modelling assumptions for wood under natural fire exposure are given in [10].…”
Section: Model Assumptionsmentioning
confidence: 99%
“…Accordingly, the strength and stiffness of softwood start to decrease as soon as the temperature exceeds 20°C and they reduce to zero at 300°C. More details about the modelling assumptions for wood under natural fire exposure are given in (Gernay et al, 2015).…”
Section: Model Assumptionsmentioning
confidence: 99%