Influence of multiple anchor arrangement in the behaviour of FRP-to-concrete anchored joints

Flores, Ilsen Adriana Cortez; Gómez, Jaime Fernández; Llauradó, Paula Villanueva

doi:10.1016/j.compstruct.2019.111528

Cited by 15 publications

(8 citation statements)

References 12 publications

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“…A lot of research has been done on this subject in the last 15 years. However, the number of studies on a shear stress‐shear displacement material model, including the effects of anchors between anchored CFRP strips and the concrete surface, is extremely limited to the very few studies on this subject in the literature 38–43,52 . One of these studies was conducted by Mertoğlu et al 40 Within the scope of this study, a proposal has been developed about the shear stress‐shear displacement interface material model between anchored CFRP strips and the concrete surface.…”

Section: Theory Of Bond‐slip Model For Anchoraged Cfrp Stripmentioning

confidence: 99%

“…It has been observed that there is no generalized constitutive bond‐slip model for the shear stress‐shear displacement interface material model between anchored CFRP strips and the concrete surface that includes all variables affecting the behavior. For this reason, a database was created by collecting experimental data obtained from a limited number of studies to create a constitutive bond‐slip model that can be generalized 38,40–43 . By creating the database, a constitutive bond‐slip model was developed by using the artificial neural networks technique between the anchored CFRP strips and the concrete surface, which includes all the innovative variables that can affect the behavior.…”

Section: Introductionmentioning

confidence: 99%

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Bond‐slip model between anchored CFRP strip and concrete by using ANN

Anıl

Çevik

2023

Structural Concrete

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For the last 20 years, carbon fiber reinforced polymers (CFRP) have been widely used in the retrofitting and strengthening of structures with inadequate earthquake performance. One of the most important design criteria in retrofitting and strengthening details developed with CFRP is delaying the debonding of CFRP strips from the surface. For this reason, the use of anchors in reinforcement details developed with CFRP has increased. In this study, available experimental data in the literature on bond‐slip research related to anchored CFRP strips were collected and a database was created. By using this database, it was aimed to create a generalized capacity equation and constitutive bond‐slip model for anchored strips via the artificial neural networks technique. The proposed NN models on the constitutive bond‐slip model are intended to be useful in design codes and finite element algorithms.

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Section: Theory Of Bond‐slip Model For Anchoraged Cfrp Stripmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bond‐slip model between anchored CFRP strip and concrete by using ANN

Anıl

Çevik

2023

Structural Concrete

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“…This fact limits the use of FRP anchors due to the absence of design guides and limited fundamental understanding. This study proposes a machine‐learning‐based constitutive bond‐slip model developed using a limited number of experimental data obtained from the literature to address this gap 1,11,31,32,38 . This innovative model includes all input variables (defined in Figure 4) that affect the CFRP‐to‐concrete interface behavior.…”

Section: Introductionmentioning

confidence: 99%

“…Results indicated that the configuration and number of anchors significantly influence the load‐slip behaviors of FRP plates. The research was also carried out to investigate the effect of CFRP geometry, anchor layout, and the number of anchors 1,32 …”

Section: Introductionmentioning

confidence: 99%

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A machine‐learning‐based constitutive bond‐slip model for anchored CFRP strips externally bonded on concrete members

Kurtoğlu

Anıl

Çevik

2022

Structural Concrete

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Strengthening is often required for reinforced concrete, steel, and masonry structures or structural elements when they possess insufficient performance against external loads such as earthquakes. Recently, the use of carbon fiber-reinforced polymers (CFRP) has been considered a viable strengthening technique alternative to traditional methods. The major concern is premature debonding failure hindering the efficient use of CFRP systems. FRP anchor systems have been used to avoid this phenomenon. This paper employs a machine learning (ML)-based algorithm (support vector regression) to propose predictive models to simulate the bond-slip behavior of anchored CFRP strips externally bonded to the concrete surface. A comprehensive database was constructed using the previous reports on the bond-slip behavior of FRP-to-concrete joints anchored with CFRP strips. Afterwards, the collected database was used to train and validate the proposed models. The input parameters cover all possible factors, that is, compressive strength of concrete, width of concrete block, anchor hole diameter, anchor hole depth, number of anchors at one row, number of anchors at one column; elastic modulus, width, bonding length, and thickness of CFRP strip. The output parameters are maximum shear capacity, residual shear capacity, displacement values at peak shear, and residual shear. Results imply that the proposed models have high prediction accuracies with low error rates. Proposed models are also presented in code format to be easily incorporated into analysis software for practical use.

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