Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling
Purpose - A model that extends study parameters to predict repaired column behaviour is efficient. Threedimensional nonlinear finite element models were created in ABAQUS to simulate steel strap confinement with inclusion of pre-damaged levels. Design/methodology/approach - Experimental and analytic...
Published in: | ENGINEERING COMPUTATIONS |
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Main Authors: | , , , , |
Format: | Article; Early Access |
Language: | English |
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EMERALD GROUP PUBLISHING LTD
2024
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Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001350954700001 |
author |
Apandi Nazirah Mohd; Zailani Warid Wazien Ahmad; Chin Chee-Loong; Ma Chau-Khun |
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spellingShingle |
Apandi Nazirah Mohd; Zailani Warid Wazien Ahmad; Chin Chee-Loong; Ma Chau-Khun Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling Computer Science; Engineering; Mathematics; Mechanics |
author_facet |
Apandi Nazirah Mohd; Zailani Warid Wazien Ahmad; Chin Chee-Loong; Ma Chau-Khun |
author_sort |
Apandi |
spelling |
Apandi, Nazirah Mohd; Zailani, Warid Wazien Ahmad; Chin, Chee-Loong; Ma, Chau-Khun Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling ENGINEERING COMPUTATIONS English Article; Early Access Purpose - A model that extends study parameters to predict repaired column behaviour is efficient. Threedimensional nonlinear finite element models were created in ABAQUS to simulate steel strap confinement with inclusion of pre-damaged levels. Design/methodology/approach - Experimental and analytical studies demonstrate that restored reinforced concrete (RC) columns usually crush at mid-height under axial compressions. Numerical models verified RC column load-deformation. Although some specimens have considerable column stiffness differences, a numerical model based on statistical analysis matches experimental test results. Findings - It shows that, finite element model exhibited a tendency to overestimate the stiffness of the columns, with an average absolute error (AAE) of 23.1%. The validation results indicate that the AAE values for strength and ductility were 15.1% and 12.3%. It has been demonstrated that the combination of strength and ductility is capable of yielding predictions with an error rate of approximately 20%. A parametric study focused on finite element model-predicted load bearing capacity reduction. Originality/value - A numerical analysis employing finite element modelling has been formulated to investigate the behaviour of confined columns. The model underwent validation through comparison with the experimental results. The validated model is utilised to perform additional parametric investigations on the confined column. EMERALD GROUP PUBLISHING LTD 0264-4401 1758-7077 2024 10.1108/EC-05-2024-0376 Computer Science; Engineering; Mathematics; Mechanics WOS:001350954700001 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001350954700001 |
title |
Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling |
title_short |
Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling |
title_full |
Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling |
title_fullStr |
Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling |
title_full_unstemmed |
Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling |
title_sort |
Performance of repair pre-damaged RC columns using steel straps tensioning techniques (SSTT) confinement: experimental data and modelling |
container_title |
ENGINEERING COMPUTATIONS |
language |
English |
format |
Article; Early Access |
description |
Purpose - A model that extends study parameters to predict repaired column behaviour is efficient. Threedimensional nonlinear finite element models were created in ABAQUS to simulate steel strap confinement with inclusion of pre-damaged levels. Design/methodology/approach - Experimental and analytical studies demonstrate that restored reinforced concrete (RC) columns usually crush at mid-height under axial compressions. Numerical models verified RC column load-deformation. Although some specimens have considerable column stiffness differences, a numerical model based on statistical analysis matches experimental test results. Findings - It shows that, finite element model exhibited a tendency to overestimate the stiffness of the columns, with an average absolute error (AAE) of 23.1%. The validation results indicate that the AAE values for strength and ductility were 15.1% and 12.3%. It has been demonstrated that the combination of strength and ductility is capable of yielding predictions with an error rate of approximately 20%. A parametric study focused on finite element model-predicted load bearing capacity reduction. Originality/value - A numerical analysis employing finite element modelling has been formulated to investigate the behaviour of confined columns. The model underwent validation through comparison with the experimental results. The validated model is utilised to perform additional parametric investigations on the confined column. |
publisher |
EMERALD GROUP PUBLISHING LTD |
issn |
0264-4401 1758-7077 |
publishDate |
2024 |
container_volume |
|
container_issue |
|
doi_str_mv |
10.1108/EC-05-2024-0376 |
topic |
Computer Science; Engineering; Mathematics; Mechanics |
topic_facet |
Computer Science; Engineering; Mathematics; Mechanics |
accesstype |
|
id |
WOS:001350954700001 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001350954700001 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1818940498900942848 |