Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores

Wang, Xuxu; Yao, Qi; Yangshan, Sun; Xie, Zhijin; Liu, Weiqing

doi:10.3390/s19081792

Cited by 18 publications

(11 citation statements)

References 28 publications

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“…Whereas these changes seem relatively high, it is consistent with a study by Wang et al [31] that had a 500% increase in ductility for Concrete C25/30. That study had sophisticated sensors to measure deflections and was verified using Finite Element Analysis [31]. Masia et al [16] also found increases in ductility of 522% for specimens of similar dimensions (125mm x 125mm x 375mm) to the one used in this study (150mm x 150mm x 350mm).…”

Section: Ductilitysupporting

confidence: 62%

Effect of Carbon Fibre Reinforced Polymer Strengthening on Axial Capacity and Ductility of Non-slender Square Concrete Columns

Munyua¹,

Mumenya²,

Mwero³

2020

Preprint

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This research investigated the effect of Carbon Fibre Reinforced Polymer (CFRP) strengthening on the axial capacity and ductility of non-slender square concrete columns. There was a problem of buildings collapsing in Kenya. Retrofitting of the buildings vulnerable to collapse was of great importance to ensure the safety of the occupants and to address the housing deficit in the country. An experimental research programme was conducted on 90 non-slender square concrete columns to find out the gain in axial capacity and ductility of the columns strengthened by CFRP. The specimens (150mm x 150mm x 350mm) were made of plain and reinforced concrete. Three different concrete grades: C8/10, C12/15 and C16/20 were used. The specimen had varying configurations of CFRP wrap: partial and full confinement in one and two layers. Four parameters were investigated in this study: concrete grade, steel reinforcement, degree of confinement and the number of layers of CFRP wrap. The specimens were subjected to uniaxial compression up to failure, and the stress-strain curves were plotted. This study found that weaker concrete grades experienced the highest effect due to CFRP strengthening. Presence of reinforcement had a significant effect on the axial capacity and ductility of columns without CFRP strengthening. On the contrary, the presence of steel reinforcement reduced the effectiveness of CFRP strengthening. Partial CFRP confinement offered better material efficiency as compared to full CFRP confinement, and the number of layers had a direct relationship with the increase in strength and ductility.

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Section: Ductilitysupporting

confidence: 62%

Effect of Carbon Fibre Reinforced Polymer Strengthening on Axial Capacity and Ductility of Non-slender Square Concrete Columns

Munyua¹,

Mumenya²,

Mwero³

2020

Preprint

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“…In addition, an important number of empirical studies and numerical works have been carried out, based on the mechanical properties of the CFST column with different cross-sectional forms under the influence of axial load. Studies by Liu et al [ 12 , 18 ], Chitawadagi et al [ 25 ], Schneider [ 26 ], Uy [ 6 ], Sakino et al [ 27 ], and many other studies [ 10 , 28 , 29 , 30 , 31 ] related to rectangular CFST columns with axial load have shown that the bearing capacity of CFST columns depends on many factors, such as the changes in the pipe wall, the thickness of steel pipe, concrete strength, cross-sectional area of steel pipe, steel pipe length, effects of concrete compaction, effective load conditions and boundary conditions. However, in the above studies, there are still some limitations, such as the difference between standard and experimental results [ 32 ], simplified methods in design codes are not suitable for materials of high strength [ 33 ], the process of testing axial compressions is time-consuming and labor-intensive.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

Nguyen

Tran

et al. 2020

Molecules

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In this study, a novel hybrid surrogate machine learning model based on a feedforward neural network (FNN) and one step secant algorithm (OSS) was developed to predict the load-bearing capacity of concrete-filled steel tube columns (CFST), whereas the OSS was used to optimize the weights and bias of the FNN for developing a hybrid model (FNN-OSS). For achieving this goal, an experimental database containing 422 instances was firstly gathered from the literature and used to develop the FNN-OSS algorithm. The input variables in the database contained the geometrical characteristics of CFST columns, and the mechanical properties of two CFST constituent materials, i.e., steel and concrete. Thereafter, the selection of the appropriate parameters of FNN-OSS was performed and evaluated by common statistical measurements, for instance, the coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). In the next step, the prediction capability of the best FNN-OSS structure was evaluated in both global and local analyses, showing an excellent agreement between actual and predicted values of the load-bearing capacity. Finally, an in-depth investigation of the performance and limitations of FNN-OSS was conducted from a structural engineering point of view. The results confirmed the effectiveness of the FNN-OSS as a robust algorithm for the prediction of the CFST load-bearing capacity.

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“…Qin et al (2019) used FRP in concrete columns with interfacial defects, and an experimental test was conducted to determine the interfacial defect on structural performance. Moreover, Wang et al (2019) proposed a composite concrete column with external FRP, and the result showed an improvement in the strength and ductility of the column.…”

Section: Introductionmentioning

confidence: 99%

Development of finite element model for embedded carbon fiber–reinforced polymer rod in reinforced concrete frame joints

Basim

Hejazi

Rashid

et al. 2020

International Journal of Protective Structures

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The stiffness and strength of joints are the main factors in providing stability and ductility of a structure during dynamic load such as earthquake. In the high-humidity areas, the reinforcement is exposed to corrosion, which commonly occurs in the joints, due to the presence of micro-cracks in the joints, shrinkage or other concrete casting issues. Therefore, one of the main failure mechanisms of building during an earthquake is caused by damage in the joints in humid areas. This is mainly caused by corroded steel reinforcement, which reduces functionality of the frame joints in transferring the loads. This study proposes a new design for reinforced beam–column joints with embedded carbon fiber–reinforced polymer rods, which possesses extremely high strength and resistance against corrosion and high stiffness. The finite element model for embedded carbon fiber–reinforced polymer in the joints was developed in order to evaluate the performance of the proposed joints during earthquake execution. The developed program was verified through an experimental test on reinforced concrete frame subjected to vibration using dynamic actuator. The finite element program was implemented for one-story reinforced concrete frame and two-story frame building with proposed joints and seismic analysis. The results demonstrated a significant improvement in the performance of the frames reinforced with embedded carbon fiber–reinforced polymer in joints in terms of lateral load resistance capacity and failure mechanism.

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Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores

Cited by 18 publications

References 28 publications

Effect of Carbon Fibre Reinforced Polymer Strengthening on Axial Capacity and Ductility of Non-slender Square Concrete Columns

Effect of Carbon Fibre Reinforced Polymer Strengthening on Axial Capacity and Ductility of Non-slender Square Concrete Columns

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

Development of finite element model for embedded carbon fiber–reinforced polymer rod in reinforced concrete frame joints

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