The prediction of the shear capacity of reinforced concrete beams retrofitted in shear by means of externally bonded FRP is very complex as demonstrate the studies carried out up to date. As alternative to the conventional methods two approaches based on artificial intelligence are proposed for the
โฆ LIBER โฆ
Genetic algorithm model for shear capacity of RC beams reinforced with externally bonded FRP
โ Scribed by Moncef Nehdi; Hasan Nikopour
- Book ID
- 111839810
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 419 KB
- Volume
- 44
- Category
- Article
- ISSN
- 1871-6873
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Artificial intelligence techniques for p
โ
Ricardo Perera; Angel Arteaga; Ana De Diego
๐
Article
๐
2010
๐
Elsevier Science
๐
English
โ 567 KB
Unified analytical approach for determin
โ
V. Colotti; R.N. Swamy
๐
Article
๐
2011
๐
Elsevier Science
๐
English
โ 480 KB
This paper presents a rational model to predict the ultimate load capacity of reinforced concrete (RC) beams strengthened by a combination of longitudinal and transverse fiber reinforced polymer (FRP) composite plates/sheets (flexure and shear strengthening system). The model is based on the truss a
Probabilistic design equations for the s
โ
Lignola, Gian Piero; Jalayer, Fatemeh; Nardone, Fabio; Prota, Andrea; Manfredi,
๐
Article
๐
2014
๐
Elsevier Science
๐
English
โ 773 KB
Assessment of design procedures for the
โ
Carlo Pellegrino; Mira Vasic
๐
Article
๐
2013
๐
Elsevier Science
๐
English
โ 958 KB
Shear capacity of reinforced concrete me
โ
Ricardo Perera; Javier Vique; Angel Arteaga; Ana De Diego
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 638 KB
An experimentally based analytical model
โ
C. Pellegrino; C. Modena
๐
Article
๐
2008
๐
Springer US
๐
English
โ 582 KB