C Conferentia Proceedings
CILAMCE2017-0122 STRUCTURAL RELIABILITY METHODS AND DESIGN OPTIMIZATION UNDER UNCERTAINTIES

ESTUDO DA CONFIABILIDADE DE LAJES DE CONCRETO ARMADO EM SITUAÇÃO DE INCÊNDIO VIA SIMULAÇÃO DE MONTE CARLO

Túlio Antunes Pinto Coelho1; Sofia Maria Carrato Diniz1

1 Universidade Federal de Minas Gerais

doi:10.20906/CPS/CILAMCE2017-0122

Resumo

Current standards and specifications for the design of reinforced concrete (RC) structures are based on Limit State Methods, i.e. semi-probabilistic methods. In the last decades, much has been developed in terms of the reliability assessment of structural components in RC such as slabs, beams and columns aimed at the calibration of partial factors in semi-probabilistic methods. On the other hand, studies on the reliability of such structural components under fire are practically nonexistent. Due to the unpredictable nature of the fires and the various uncertainties related to the problem, the reliability of slabs in RC under fire should be investigated. This research aims to present the framework for the reliability analysis of RC structures, in specials the slab case, in a fire situation, comprising the concepts, methods, probabilistic description of the relevant variables and definition of the corresponding performance function. As a practical example, the reliability of solid slabs of RC in a fire situation will be evaluated from probabilistic concepts and methods. The probability of failure of slabs to a fully developed fire is obtained via Monte Carlo simulation. This case study very clearly illustrates a situation in which it is a very safe project, by deterministic calculation, it may not necessarily be when structural reliability is assessed.

Palavras-chave: reinforced concrete; reliability; fire; Monte carlo simulation; slabs

Como citar

Túlio Antunes Pinto Coelho; Sofia Maria Carrato Diniz. “ESTUDO DA CONFIABILIDADE DE LAJES DE CONCRETO ARMADO EM SITUAÇÃO DE INCÊNDIO VIA SIMULAÇÃO DE MONTE CARLO”. XXXVIII Ibero-Latin American Congress on Computational Methods in Engineering. CILAMCE2017. 2017. DOI: 10.20906/CPS/CILAMCE2017-0122