2020
DOI: 10.21608/jesaun.2020.109362
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Nonlinear Finite-Element Analysis for Rc Beams Strengthened With Fabric-Reinforced Cementitious Matrix

Abstract: Because of the shortcomings of the externally bonded system that mainly consists of epoxy and FRP sheets, the fabric-reinforced cementitious matrix, (FRCM) represents a viable solution in the strengthening of reinforced concrete beams. The FRCM layers consist of fabric mesh embedded in an inorganic stabilized cementitious mortar. Many experimental studies examined the impact of strengthening of RC beams with the FRCM layers, but the numerical investigations are limited. This study is therefore aimed at introdu… Show more

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Cited by 1 publication
(3 citation statements)
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References 11 publications
(26 reference statements)
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“…comparison between the cracking pattern, load -FRCM strain curves, and loadconcrete strain curves at mid span of numerical and experimental results were discussed in authors previous works. The total previous experimental [10] and numerical results [24] showed a good validity of the FEM to present parametric study. So, the ABAQUS program can be used to do parametric study with high accuracy.…”
Section: Validation Of Numerical Studysupporting
confidence: 66%
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“…comparison between the cracking pattern, load -FRCM strain curves, and loadconcrete strain curves at mid span of numerical and experimental results were discussed in authors previous works. The total previous experimental [10] and numerical results [24] showed a good validity of the FEM to present parametric study. So, the ABAQUS program can be used to do parametric study with high accuracy.…”
Section: Validation Of Numerical Studysupporting
confidence: 66%
“…To check the capacity of the developed FEM, the results which obtained from the previous experimental study [10] was compared with the predicted result obtained from the FEA. Validation was conducted in previous study [24]. The comparative results are detailed in the authors previous works [24].…”
Section: Validation Of the Femmentioning
confidence: 99%
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