Numerical approach of the steel-concrete bond behavior using pull-out models

Filho, Fernando Menezes de Almeida; Nardin, Silvana De; Debs, Ana Lúcia Homce de Cresce El

doi:10.1590/s1517-707620190002.0656

Cited by 2 publications

(2 citation statements)

References 13 publications

(17 reference statements)

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“…Although the calibration is focused on reinforced concrete shear walls, it can fit other structural elements with similar properties, like deep beams. This represents a significant contribution considering the wide use of numerical analyzes to estimate diverse structural behaviors [2,3,5,6,7,9,10], so appropriate material simulation is a subject of interest of the research community.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Concrete Damaged Plasticity Model parameters for shear walls

2021

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Reinforced concrete structures are relatively complex to analyze, with nonlinear effects like cracking, crushing, steel yielding, aggregate interlock, dowel effect, concrete-rebar interaction and so on. The concrete damaged plasticity CDP model is a consolidated smeared-crack model which accounts for multiaxial behavior with good agreement to experimental results. One particular relevant application which benefits greatly from such feature is the shear wall, as shear stress significantly influences its overall behavior, therefore multiaxial constitutive models and three-dimensional finite elements usage consist in a fitting modeling approach. Reinforced concrete shear walls are structures especially useful for lateral force-resisting systems, as they provide ductility, stiffness and strength. Albeit CDP is widely applied, its parameters are not consensus in the literature, which represents a relevant research gap. The present work considers and compares CDP parameters from relevant literature, in order to calibrate those parameters for the case of reinforced concrete shear walls. To this purpose, four wall experiments related in the bibliography are modeled using solid finite elements for concrete and trusses for rebars using commercial package ABAQUS. All walls are flexure-controlled with aspect ratio greater than 2.0. By varying those parameters and comparing obtained force vs. displacement curves and interesting values attained, like yield lateral force and displacement, stiffness and maximum lateral force, it is settled a set of parameters with acceptable response focusing in the post-peak response based on the lower estimated error of displacement capacity. Those parameters agree reasonably with literature, although it is possible that obtained calibration is restricted to flexure controlled shear walls scope. It is possible that usage of trusses to represent reinforcement does not consider dowel effect, so a suggestion for future studies is to change trusses for elements with transverse stiffness, like beams or solids.

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Section: Introductionmentioning

confidence: 99%

Calibration of Concrete Damaged Plasticity Model parameters for shear walls

2021

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“…Several scientific studies on this property have been performed since the 1940s [5], [6], among many other studies in this field. Generally, these studies refer to bars with diameters greater than 12.0 mm [7], [8]. However, few researches have evaluated the performance of reinforcing bars with diameters smaller than 10.0 mm, which includes 5.0, 6.3, and 8.0 mm diameters, generally used in reinforced concrete elements [9].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Bond Strength of thin Steel Rebars in Concrete by Means of Artificial Neural Networks

Silva¹,

Moita²,

Carvalho³

2020

World Congress on Civil, Structural, and Environmental Engineering

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The bond strength between steel bars and concrete is one of the essential aspects of reinforced concrete structures and is generally affected by several factors. In this study, an experimental data set of 89 pull-out specimens was used to develop an artificial neural network (ANN). The data used in the modelling was arranged as 4 input parameters: bar surface, bar diameter ( ), concrete compressive strength ( c f ) and the anchorage length ( d L ). A comparative analysis was also conducted using the developed ANN model to establish the trend of the main influence variables on the bond capacity. The root mean squared error (RMSE) for the maximum applied load in the pull-out test, found on the testing data, was equal to 1.088 KN, and the R-squared was equal to 0.969, for the proposed ANN model. Moreover, the study concluded that the proposed could be used to predicts the bond strength of thin bars.

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Numerical approach of the steel-concrete bond behavior using pull-out models

Cited by 2 publications

References 13 publications

Calibration of Concrete Damaged Plasticity Model parameters for shear walls

Calibration of Concrete Damaged Plasticity Model parameters for shear walls

Predicting the Bond Strength of thin Steel Rebars in Concrete by Means of Artificial Neural Networks

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