Models for Predicting Strength of Biaxially Loaded RC Columns Strengthened using NSM-CFRP Strips and Fabric

An experimental study on large scale short reinforced concrete (RC) columns strengthened using near surface mounted (NSM) carbon fiber reinforced polymer (CFRP) strips and confined with CFRP fabric was carried out to determine the effects of the strengthening mechanism on the load carrying capacity of RC columns.The specimens were subjected to concentric and eccentric loading conditions resulting in axial and biaxial bending.The specimens were categorized according to the applied eccentricity ratio.Based on part of the experimental results, multiple empirical Linear and Nonlinear models were developed to predict the load carrying capacity for concentrically and biaxially loaded columns strengthened with NSM CFRP strips and confined with CFRP fabric wraps using the resultant eccentricity ratio as a parameter.The results obtained from the empirical models are validated against the experimental results.The empirical models were able to predict the load carrying capacity for axially and biaxially loaded columns with an average Mean Absolute Percent Error (MAPE) of 7.1% for the Nonlinear models and 24.0% for the Linear models.It has been concluded that the developed Nonlinear models can be used as practical tools for accurately predicting the capacity of RC columns strengthened with NSM-CFRP strips and CFRP wraps subjected to axial loading and biaxial bending conditions.

Authors

Institutions

Publication Details

Journal
Civil-comp conferences
Published
2024-08-26
DOI
https://doi.org/10.4203/ccc.9.15.4
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Models for Predicting Strength of Biaxially Loaded RC Columns Strengthened using NSM-CFRP Strips and Fabric

Rami A. Hawileh, Raed Abokwiek, J.A. Abdalla
Civil-comp conferences
Structural Behavior of Reinforced Concrete
article

Models for Predicting Strength of Biaxially Loaded RC Columns Strengthened using NSM-CFRP Strips and Fabric

Rami A. Hawileh, Raed Abokwiek, J.A. Abdalla
article en

Abstract

An experimental study on large scale short reinforced concrete (RC) columns strengthened using near surface mounted (NSM) carbon fiber reinforced polymer (CFRP) strips and confined with CFRP fabric was carried out to determine the effects of the strengthening mechanism on the load carrying capacity of RC columns.The specimens were subjected to concentric and eccentric loading conditions resulting in axial and biaxial bending.The specimens were categorized according to the applied eccentricity ratio.Based on part of the experimental results, multiple empirical Linear and Nonlinear models were developed to predict the load carrying capacity for concentrically and biaxially loaded columns strengthened with NSM CFRP strips and confined with CFRP fabric wraps using the resultant eccentricity ratio as a parameter.The results obtained from the empirical models are validated against the experimental results.The empirical models were able to predict the load carrying capacity for axially and biaxially loaded columns with an average Mean Absolute Percent Error (MAPE) of 7.1% for the Nonlinear models and 24.0% for the Linear models.It has been concluded that the developed Nonlinear models can be used as practical tools for accurately predicting the capacity of RC columns strengthened with NSM-CFRP strips and CFRP wraps subjected to axial loading and biaxial bending conditions.

Civil-comp conferencesVol. 9
American University of Sharjah (AE)
American University of Sharjah
Openalex Percentile: Top 74%
Structural Behavior of Reinforced Concrete
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.