Identification of intermediate debonding damage in FRP-plated RC beams based on multi-objective particle swarm optimization without updated baseline model

Perera Velamazán, Ricardo; Sevillano Bravo, Enrique; Diego Villalón, Ana de y Arteaga Iriarte, Ángel (2014). Identification of intermediate debonding damage in FRP-plated RC beams based on multi-objective particle swarm optimization without updated baseline model. "Composites Part B: Engineering", v. 62 ; pp. 205-217. ISSN 1359-8368. https://doi.org/10.1016/j.compositesb.2014.02.008.

Descripción

Título: Identification of intermediate debonding damage in FRP-plated RC beams based on multi-objective particle swarm optimization without updated baseline model
Autor/es:
  • Perera Velamazán, Ricardo
  • Sevillano Bravo, Enrique
  • Diego Villalón, Ana de
  • Arteaga Iriarte, Ángel
Tipo de Documento: Artículo
Título de Revista/Publicación: Composites Part B: Engineering
Fecha: Junio 2014
Volumen: 62
Materias:
Palabras Clave Informales: Polymer matrix composites; Debonding; Computational modeling
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería Mecánica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Fiber reinforced polymer composites (FRP) have found widespread usage in the repair and strengthening of concrete structures. FRP composites exhibit high strength-to-weight ratio, corrosion resistance, and are convenient to use in repair applications. Externally bonded FRP flexural strengthening of concrete beams is the most extended application of this technique. A common cause of failure in such members is associated with intermediate crack-induced debonding (IC debonding) of the FRP substrate from the concrete in an abrupt manner. Continuous monitoring of the concrete?FRP interface is essential to pre- vent IC debonding. Objective condition assessment and performance evaluation are challenging activities since they require some type of monitoring to track the response over a period of time. In this paper, a multi-objective model updating method integrated in the context of structural health monitoring is demonstrated as promising technology for the safety and reliability of this kind of strengthening technique. The proposed method, solved by a multi-objective extension of the particle swarm optimization method, is based on strain measurements under controlled loading. The use of permanently installed fiber Bragg grating (FBG) sensors embedded into the FRP-concrete interface or bonded onto the FRP strip together with the proposed methodology results in an automated method able to operate in an unsupervised mode.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaBIA2010-20234-C03-01Sin especificarUniversidad Politécnica de MadridEstructuras inteligentes de hormigón reforzadas con FRP

Más información

ID de Registro: 35890
Identificador DC: http://oa.upm.es/35890/
Identificador OAI: oai:oa.upm.es:35890
Identificador DOI: 10.1016/j.compositesb.2014.02.008
URL Oficial: http://www.sciencedirect.com/science/article/pii/S1359836814000857
Depositado por: Memoria Investigacion
Depositado el: 16 Mar 2016 11:51
Ultima Modificación: 16 Mar 2016 11:51
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