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
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

Auteurs

Ali Raza (A)

Department of Civil Engineering, University of Engineering and Technology, Taxila 47080, Pakistan.

Syyed Adnan Raheel Shah (SAR)

Department of Civil Engineering, Pakistan Institute of Engineering and Technology, Multan 66000, Pakistan.

Hatem Alhazmi (H)

National Center for Environmental Technology (NCET), Life Science and Environment Research Institute (LSERI), King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia.

Muhammad Abrar (M)

Department of Electrical Engineering, Bahauddin Zakariya University, Multan 66000, Pakistan.

Samia Razzaq (S)

School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Camperdown 2006, Australia.

Classifications MeSH