Strength Profile Pattern of FRP-Reinforced Concrete Structures: A Performance Analysis through Finite Element Analysis and Empirical Modeling Technique.
axial capacity
coefficient of determination
concrete columns
finite element analysis
glass fiber reinforced polymer
parametric study
Journal
Polymers
ISSN: 2073-4360
Titre abrégé: Polymers (Basel)
Pays: Switzerland
ID NLM: 101545357
Informations de publication
Date de publication:
13 Apr 2021
13 Apr 2021
Historique:
received:
15
03
2021
revised:
05
04
2021
accepted:
06
04
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
1
5
2021
Statut:
epublish
Résumé
Limited research work is available in the literature for the theoretical estimates of axial compressive strength of columns reinforced with fiber reinforced polymer (FRP) rebars. In the present work, an experimental database of 278 FRP-reinforced concrete (RC) compression members was established from the literature to recommend an empirical model that can accurately predict the axial strength (AS) of GFRP-RC specimens. An initial assessment of 13 different previously anticipated empirical models was executed to achieve a general form of the AS model. Finally, a new empirical equation for forecasting the AS of GFRP-RC short columns was proposed using the curve fitting and regression analysis technique. The performance of the proposed empirical model over the previous experimental database represented its higher accuracy as related to that of other models. For the further justification of the anticipated model, a numerical model of GFRP-RC columns was simulated using ABAQUS and a wide parametric study of 600 GFRP-RC samples was executed to generate a numerical database and investigate the influence of various parameters using numerical and empirical models. The comparison between theoretical and numerical predictions with R
Identifiants
pubmed: 33924677
pii: polym13081265
doi: 10.3390/polym13081265
pmc: PMC8069816
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Materials (Basel). 2020 Oct 13;13(20):
pubmed: 33066128