Study of fire resistance of reinforced concrete slabs under thermal influence based on the use of the parametric temperature fire modes.

Autor: Pozdieiev, Serhii, Sidnei, Stanislav, Hvozd, Viktor, Tyshchenko, Oleksandr, Shnal, Taras
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2684 Issue 1, p1-8, 8p
Abstrakt: The paper presents the results of calculations to assess the fire resistance of reinforced concrete slabs under the parametric temperature mode of fire. There was carried out an analysis of temperature distribution over the cross section of reinforced concrete slabs under the conditions of the parametric and standard temperature influence and the time of occurrence of plastic moments depending on the fire duration was determined. Based on the results of the study, the diagrams were constructed of boundary moments for reinforced concrete slabs. The diagrams provide an opportunity to check the strength conditions and determine the corresponding of the building structures to the appropriate standard fire resistance class. Analyzing the corresponding graphs of the dependences of the boundary plastic moments on the value of fire duration of fire resistance classes for reinforced concrete slabs, it was concluded that the temperature influence conditions of the standard fire mode were the most severe leading to a constant decrease of the boundary moment in contrast to the parametric conditions of a fire, which have horizontal branches. According to the results of the analysis of the study, it was determined that when using the temperature modes of fire, determined by the proposed mathematical models, the boundary plastic moments are on average three times lesser than the boundary plastic moments determined under the influence of a standard fire temperature mode. Thus, it was determined that the use of the computational method makes it possible to obtain indicators of the limit of fire resistance of reinforced concrete slabs, which correspond to the real temperature modes of fires. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index