Non-Linear Finite Element Analysis of RC Deep Beam Using CDP Model

Rai, Pramod

doi:10.46604/aiti.2021.5407

Cited by 5 publications

(8 citation statements)

References 16 publications

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“…Both methods will be evaluated later in this paper. Rai (2021) [19] investigated a numerical modeling technique to study the nonlinear behavior of RC deep beams by using FEA based on the software ABAQUS [20]. The response of the FE model is verified with the experimental results in terms of the load-to-midspan deflection curve and damage distribution.…”

Section: Codes' Definition Of Deep Beamsmentioning

confidence: 99%

Shear Behavior of Reinforced Concrete Inverted-T Deep Beam

Shousha,

Mabrouk,

Torkey

2023

Civ Eng J

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Contrary to top-loaded deep beams, Inverted-T (IT) deep beams are loaded on ledges at the beam’s bottom chord. The presence of the load near the bottom of the beams creates a tension field in the web at the loading points. An experimental investigation was carried out in which 8 specimens of reinforced concrete IT deep beams were tested and the effect of the following variables was studied: changing the hanger diameter, hanger arrangement in terms of spacing and distribution distance, hanger reinforcement ratio, vertical and horizontal web shear reinforcement diameter, and spacing. In addition, all the tested beams had long ledges extending to the end of the beam. It was concluded that hanger reinforcement diameter and horizontal web shear reinforcement have an insignificant effect on the IT deep beam capacity. While the change in hanger arrangement, vertical web reinforcement, and ledge length has a significant effect on IT deep beam capacity. The maximum spacing of the hanger reinforcement and the minimum hanger reinforcement ratio passing through the load plate length will be studied in the following publication. A finite element model (FEM) was presented to predict the behavior of IT deep beams. The simulation was carried out using the ABAQUS 2017 software program. The results of the numerical model showed good agreement with the experimental program. Analysis using design codes was checked against the experimental data, where the computed beam capacities were compared to those obtained from the test results. The comparison showed a remarkable difference between the predictions using the design codes and the test results. Computation using design codes significantly underestimated the capacities of the beams. Doi: 10.28991/CEJ-2023-09-05-04 Full Text: PDF

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Section: Codes' Definition Of Deep Beamsmentioning

confidence: 99%

Shear Behavior of Reinforced Concrete Inverted-T Deep Beam

Shousha,

Mabrouk,

Torkey

2023

Civ Eng J

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“…ck t  is the cracking strain, which was calculated from Equation (13). w is the width of the crack was calculated based on Equation (9).…”

Section: Beam S1-2mentioning

confidence: 99%

“…Many studies have applied the CDP model to research the nonlinear behavior of concrete structures under different loading conditions. Rai [9] used the CDP model to model the nonlinear behavior of an RC deep beam under a three-point bending test. The FE results showed a good agreement in the load-displacement curve and damage patterns, with a maximum of 6.92% in error at ultimate displacement.…”

Section: Introductionmentioning

confidence: 99%

“…The CDP model also conducted modeling of an RC beam reinforced with other materials such as Fiber Reinforced Polymer (FRP) or ultra-high performance concrete (UHPC). Rai et al [9] studied reinforcing RC beams with web openings by using CFRP with a maximum deviation in the ultimate load of about 17%. Zhu et al [12] used the CDP model for both RC and UHPFRC material when modeling the pre-damaged RC beams reinforced by UHPC under the four-point bending test.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of Load–Displacement Characteristics and Crack Behavior of RC Beam Based on Nonlinear Finite Element Analysis Using Concrete Damage Plasticity

Luu,

Kim,

Kim

2023

Applied Sciences

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Crack patterns provide critical information about the structural integrity and safety of concrete structures. However, until now, there has been a lack of sufficient studies on using the Finite Element (FE) method to investigate the characteristics of the crack patterns of reinforced concrete (RC) beams. Therefore, this study aims to develop an FE model to analyze the load–displacement and crack characteristics of a beam under a four-point bending test using the concrete damaged plasticity (CDP) model that accounts for the influence of mesh size. The simulation results were validated against experimental results, including mesh convergence analysis, energy balance, load characteristics, and crack patterns. A parametric study was then conducted using this model to investigate the influence of the rebar’s diameter, number, and spacing on the RC beam’s load–displacement characteristics and crack behavior. The findings demonstrate that the FE model accurately simulates the working behavior of the RC beam, with a maximum deviation at a cracking load of 8.7% and crack patterns with a maximum deviation in the mean crack height of 12.1%. In addition, the results of the parametric study suggest that the rebar configuration significantly affects the RC beam’s loading carrying capacity. This study provides deeper insights into the use of FE modeling for analyzing the behavior of RC beams, which can be useful for designing and optimizing structures in civil engineering.

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“…In addition, Nguyen et al [14] used the ES-MITC3 element to investigate the free vibration of FGP plates positioned on partially supported elastic foundations (PSEF). Rai [15] also used FE to examine the nonlinear behavior of reinforced concrete (RC) deep beams. Pham et al [16] conducted a Monte Carlo simulation using FE analysis to evaluate the natural frequency of RC beams.…”

Section: Introductionmentioning

confidence: 99%

Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration

Seba

Kebdani

2022

Adv. technol. innov.

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This research proposes a predictive model to identify changes in the mechanical and geometrical properties of composite plates with eccentric cutouts based on natural frequency. Finite elements (FE) and neural networks are used to develop the model based on machine learning. First, the numerical analysis of free vibration is performed by the FE model on the laminated composite plates with a stacking sequence [0/90]2s under a clamped-free (CFFF) boundary condition. The outputs of the FE model (520 configurations) are then utilized to train the artificial neural network (ANN) model through the Levenberg-Marquardt method, and the developed ANN model is then used to evaluate the influence of various parameters on the natural frequency. The results show that the changes in the mechanical and geometrical properties of composite plates have impacts on the natural frequency. Furthermore, the findings of the ANN model are substantially identical to those of the numerical model, with a small margin of error.

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Non-Linear Finite Element Analysis of RC Deep Beam Using CDP Model

Cited by 5 publications

References 16 publications

Shear Behavior of Reinforced Concrete Inverted-T Deep Beam

Shear Behavior of Reinforced Concrete Inverted-T Deep Beam

Investigation of Load–Displacement Characteristics and Crack Behavior of RC Beam Based on Nonlinear Finite Element Analysis Using Concrete Damage Plasticity

Finite Element and Neural Network Based Predictive Model to Determine Natural Frequency of Laminated Composite Plates with Eccentric Cutouts under Free Vibration

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