Title :
Fuzzy assessment of surface temperature of RC members exposed to fire
Author_Institution :
Civil & Archit. Eng., Dalian Univ., Dalian, China
Abstract :
In order to assess the fire damaged concrete structures, the inspection methods of the surface temperature of reinforced concrete (RC) members exposed to fire in the buildings are put forward. On the basis of these methods, the fuzzy mathematics is introduced to judge the surface temperature of the building members by establishing suitable relative membership degree formula of target and fuzzy synthetic evaluation model. The effectiveness of the proposed approach is shown by carrying out a reliability assessment of a fire-damaged building. The results indicated that through the application of fuzzy logic algorithm, a more user friendly and more explicit model than other fire damage assessment methods could be produced within successfully low error margins.
Keywords :
fires; fuzzy logic; fuzzy set theory; inspection; reinforced concrete; reliability; structural engineering; temperature; building members; fire exposure; fuzzy assessment; fuzzy logic algorithm; fuzzy mathematics; fuzzy synthetic evaluation model; reinforced concrete members; relative membership degree formula; reliability assessment; surface temperature inspection methods; Concrete; Correlation; Eigenvalues and eigenfunctions; Fires; Inspection; Temperature; building members; fuzzy synthetic evaluation; inspection method; surface temperature;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584808