Investigation of the relationship between bending capacity and SMFL intensity of existing reinforced concrete hollow slab beams

Tong, Kai; Zhou, Jianting; Zhou, Shutao; Zhang, Yujie; Chen, Rui; Li, Shuangjiang; Zhao, Ruiqiang

doi:10.1016/j.measurement.2024.114331

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…It shows that the reinforcing porous structure of the filler did not affect the results achieved and did not strengthen the tube, which should not occur from a mechanical point of view. This statement follows the findings of several research results [46][47][48][49], which have already clarified the role of hollow beam reinforcement and demonstrated that the internal structures play a significant role in increasing the strength through the effective use of the strength of the longitudinal fibers and the restraining effect of the fibers oriented at the hoop circumference. Studies have shown that girders with internal structures offer an effective solution for achieving a maximum load-bearing capacity of the structure while minimizing weight.…”

Section: Bending Stress Evaluationsupporting

confidence: 90%

Comparison of the Bending Behavior of Cylindrically Shaped Lattice Specimens with Radially and Orthogonally Arranged Cells Made of ABS

Monkova,

Monka,

Vodilka

2024

Polymers

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The article deals with the comparison of the bending behavior of cylindrical lattice samples with radially and orthogonally arranged cells made of ABS material. The structures were designed in PTC Creo Parametric 8 software, while four types of lattice structures were evaluated: Rhombus, Cuboidal BCC, Octagon, and Starry, in three material volume fractions: 44, 57, and 70%, together with tubular and rod-shaped samples. The Fused Filament Fabrication (FFF) technique was chosen for the production of ABS plastic samples. Based on the bending tests, the dependences of the force on the deflection were recorded and the obtained data were statistically processed to identify outliers using the Grubbs test. The maximum stresses were calculated and the dependences of the stresses on the volume fractions were plotted. Along with energy absorption, ductility indices were also specified. Although the Rhombus structure appears to be the best based on the ductility indices obtained, on the other hand, the structure showed the lowest values of bending stresses (in the range from 10.6 to 12.6 MPa for volume fractions ranging from 44 to 70%, respectively). Therefore, from a synergic point of view of both factors, stress and ductility, the Starry structure exhibits the best flexural properties among those investigated.

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Section: Bending Stress Evaluationsupporting

confidence: 90%

Comparison of the Bending Behavior of Cylindrically Shaped Lattice Specimens with Radially and Orthogonally Arranged Cells Made of ABS

Monkova,

Monka,

Vodilka

2024

Polymers

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Performance of composite steel-concrete beam with stiffener next to web opening

Mastan,

2024

Eng. Res. Express

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Openings are provided in Composite steel-concrete beams (CB) for the allowance of ducts and pipes, which generally reduces the beam's flexural performance. So, to retain the strength of these beams, stiffeners are introduced adjacent to the web openings. Hence, a numerical study is performed to evaluate the influence of the stiffeners next to web openings through finite element analysis (FEA) software ABAQUS v6.14. Three different shapes of openings with three different placements of stiffeners are considered for the study, namely circular, rectangular, and triangular openings with stiffeners along longitudinal, transverse, and diagonal directions. As revealed from the findings of FEA, comparisons are made based on the ultimate load, stiffness, and stress distribution. From comparisons, it is found that double-sided longitudinal and transverse stiffeners next to the circle opening are comparable to conventional CB. Similarly, Diagonal stiffeners increase strength in rectangular and triangle openings. Transverse stiffeners failed to increase load capacity and decrease stress concentration compared to other longitudinal and diagonal stiffeners. Further validation for the finite element results is done using the Levenberg-Marquardt (LM) algorithm, using the backpropagation variant technique of Artificial Neural Network (ANN). The results of ANN, i.e., Mean Square Error (MSE) and Multiple Determination Coefficient (R2), are above 0.9 and below 1, respectively. Thus, the results of ANN indicate that the provided results are perfectly fit for predicting with the ANN technique.

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High-fidelity simulation of FRP-confined concrete-filled steel tubes: the synergy of empirical and machine learning techniques

Alqubaysi,

Ghazouani,

Mabrouk

et al. 2024

Eng. Res. Express

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The present research addresses a significant gap in the current literature by overcoming the limitations associated with small, noisy datasets commonly used to predict the axial load-carrying capacity (ALC) of fiber-reinforced polymer (FRP)-encased concrete-filled steel tube compression examples (FCFST). Specifically, the authors present a refined, large-scale database that facilitates the evaluation of the prediction accuracies of three modeling techniques: finite element modeling (FEM), analytical modeling, and artificial neural networks (ANN). This comprehensive comparative analysis, underpinned by a robust experimental dataset, not only enhances predictive accuracy but also provides valuable engineering insights. Unlike previous studies, which often lack data refinement or fail to compare multiple modeling approaches, our work offers a more rigorous and holistic evaluation. The current study aims to recommend and compare the estimates of FEM, analytical model, and ANN model for capturing the ALC of FCFST examples. A database comprising 335 FCFST columns was constructed from previous studies to propose FEM and ANN models while the analytical model was proposed based on a database of 698 samples and encasing mechanics of steel tube and FRP wraps. The concrete damage plastic model was used for concrete along with bilinear and linear elastic models for steel tubes and FRP wraps, respectively. Analytical and ANN models effectively considered the lateral encasing mechanism of FCFST columns for accurate predictions. The FEM exhibited high accuracy with statistical parameters: MAE = 223.76, MAPE = 285.32, R² = 0.943, RMSE = 210.43, and a20-index = 0.83. In contrast, the ANN model outperformed, with MAE = 195, MAPE = 229.67, R² = 0.981, RMSE = 174, and a20-index = 0.89. The R² values between the models indicated strong correlations: FEM vs. analytical (0.876), analytical vs. ANN (0.914), and ANN vs. FEM (0.945), with the ANN model showing the best accuracy.

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Investigation of the relationship between bending capacity and SMFL intensity of existing reinforced concrete hollow slab beams

Cited by 3 publications

References 31 publications

Comparison of the Bending Behavior of Cylindrically Shaped Lattice Specimens with Radially and Orthogonally Arranged Cells Made of ABS

Comparison of the Bending Behavior of Cylindrically Shaped Lattice Specimens with Radially and Orthogonally Arranged Cells Made of ABS

Performance of composite steel-concrete beam with stiffener next to web opening

High-fidelity simulation of FRP-confined concrete-filled steel tubes: the synergy of empirical and machine learning techniques

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