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Memorias de investigación
Artículos en revistas:
Application of artificial intelligence techniques to predict the performance of RC beams shear strengthened with NSM FRP rods. Formulation of design equations.
Año:2014
Áreas de investigación
  • Ingenierías
Datos
Descripción
The use of near-surface mounted FRP reinforcement in reinforced concrete structures has seen a considerable increase in recent years as a strengthening method. However, few simple models have been published for predicting the shear capacity given by this technique. In this work, two different approaches are proposed. Firstly, the use of neural networks as a means of predicting shear strength without the need to use complex models is developed. Secondly, with the purpose of generating a design formula of simple application to evaluate the shear strength contribution provided by a near-surface mounted system, a multi-objective optimization problem is solved. It results from considering simultaneously the experimental results of beams with and without NSM-FRP reinforcement. The performance of both methodologies is compared with some experimental results. Sensitivity and parametric analyses are performed too for further evaluation of the proposed models.
Internacional
Si
JCR del ISI
Si
Título de la revista
Composites Part B-Engineering
ISSN
1359-8368
Factor de impacto JCR
2,983
Información de impacto
Volumen
66
DOI
http://dx.doi.org/10.1016/j.compositesb.2014.05.00
Número de revista
Desde la página
162
Hasta la página
173
Mes
MAYO
Ranking
Ranking in ENGINEERING MULTIDISCIPLINARY 5/85 Q1
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ricardo Perera Velamazan (UPM)
  • Autor: Antonio Ruiz Perea (UPM)
  • Autor: David Tarazona
  • Autor: Andres Martin Rino (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería Geológica y Minera
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