Analysis of debonding failure modes in FRP-strengthened reinforced concrete beams using genetic algorithms

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Títol: Analysis of debonding failure modes in FRP-strengthened reinforced concrete beams using genetic algorithms
Autors: Perera Velamazán, Ricardo | Varona Moya, Francisco de Borja
Grups d'investigació o GITE: Grupo de Ensayo, Simulación y Modelización de Estructuras
Centre, Departament o Servei: Universidad de Alicante. Departamento de Ingeniería de la Construcción, Obras Públicas e Infraestructura Urbana
Paraules clau: FRP Composites | Strengthening | Reinforced concrete | Design guides
Àrees de coneixement: Ingeniería de la Construcción
Data de creació: de setembre-2006
Data de publicació: de novembre-2006
Editor: Civil-Comp Press
Citació bibliogràfica: R. Perera, F.B. Varona, "Analysis of Debonding Failure Modes in FRP-Strengthened Reinforced Concrete Beams Using Genetic Algorithms", in B.H.V. Topping, G. Montero, R. Montenegro, (Editors), "Proceedings of the Eighth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 11, 2006
Resum: The use of fibre reinforced polymer (FRP) composite materials for flexural strengthening of reinforced concrete (RC) structures is increasingly becoming a robust alternative to traditional techniques. Numerous numerical models have been proposed for estimating the increase of the flexural capacity, assessing the transmission of forces through the interface between the concrete and the FRP and describing the possible failure modes that can happen. Several of these models have been simplified in order to make them formulated into guidelines. Although they have not reached standard status yet, they are useful recommendations to be followed for repairing or retrofitting RC structures. This paper describes the main features of the following guidelines: the European “fib Bulletin 14”, the British Technical Report 55 and North American ACI 440.2R. Differences between them are discussed and a practical comparison is illustrated through a flexural strengthening problem that is solved through a structural optimization application based on Genetic Algorithms.
URI: http://hdl.handle.net/10045/8780
ISBN: 1-905088-07-8 (CD-ROM) | 1-905088-08-6 (Paper)
Idioma: eng
Tipus: info:eu-repo/semantics/article
Revisió científica: no
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