Empirical Equations for Peak Shear Strength of Low Aspect Ratio Reinforced Concrete Walls

Gulec, C. Kerem; Whittaker, Andrew S.

doi:10.14359/51664205

Cited by 8 publications

(6 citation statements)

References 13 publications

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“…Figure 5-a shows the effect of concrete strength (fc) on the normalized peak strength (v =Vtest/Aw) of the RWBEs and RWs walls. The shear strength increases with concrete strength, and this trend has been observed experimentally by Gulec and Whittaker [17]. The concrete contribution is acknowledged using square and cubic roots in the ACI-318-19 [36] and EC8 [37].…”

Section: Parametric Analysismentioning

confidence: 75%

“…5-e, where the shear strength of RWBEs enhances with ρb, while that of RWs increase when ρb increase from 0.34% to 7.2% and decrease when ρb increase from 7.2% to 12.75%. There is no consensus about the role of ρb in estimating the peak strength, as some models take into account the effect of ρb [17,23,25], and others overlook this parameter [15,18,14,23,36]. Fig.…”

Section: Parametric Analysismentioning

confidence: 99%

“…To address the aforementioned problem, several models in various forms are developed based on various methods. For instance, Wood [15], Sanchez-Alejandre and Alcocer [16], and Gluec & Whittaker [17] suggested empirical expressions. On the contrary, Hsu & Mo [18], Massone & Melo [19], and Chandra et al [12] developed softened truss models.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, some of these models are devoted exclusively to rectangular walls and provide scattered estimations when applied to calculate the shear strength of flanged walls [22]. The models of Gluec & Whittaker [17], and Ma et al [22], on the other hand, are derived solely to predict the shear strength of flanged walls.…”

Section: Introductionmentioning

confidence: 99%

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Shear Strength of Reinforced Concrete Squat Walls

Al-Bayati

2023

Civ Eng J

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Squat shear walls are widely used in various structures to resist earthquake loads. However, the relevant design expressions found in building codes and literature do not incorporate the influence of all crucial parameters and provide inconsistent peak shear strength estimations. This study adopts the artificial neural network (ANN) to predict the peak shear strength of squat walls using an extensive database that includes the results of 487 walls with wide-ranging test parameters. The ANN models consider the effect of concrete strength, the wall aspect ratio, vertical and horizontal reinforcements, vertical reinforcement of boundary elements, and axial load ratio. These accurately predicted the available test results. They implemented it to carry out parametric and sensitivity analysis to investigate the effect of the main parameters on the peak strength and to give information about the factors that contribute most to the shear response. In addition, a softened strut and tie method is proposed, considering the variables that substantially influence the shear strength. A nonlinear regression analysis is employed to determine the coefficients of the proposed model using the available database. The performance of the proposed model is measured using the existing models, which results in the best favorable agreement with the test results. Doi: 10.28991/CEJ-2023-09-02-03 Full Text: PDF

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Section: Parametric Analysismentioning

confidence: 75%

Section: Parametric Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shear Strength of Reinforced Concrete Squat Walls

Al-Bayati

2023

Civ Eng J

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“…Recognizing the shortcomings of the equations in current design code, researchers conducted extensive studies to explore the lateral load-carrying capacity of LRC walls [11][12][13][14][15]. The softened truss model [11] provides reasonably accurate predictions for LRC walls.…”

Section: Introductionmentioning

confidence: 99%

Lateral Load-Carrying Capacity of Low-Rise Reinforced Concrete Walls in Nuclear Safety-Related Structures

Guo,

Li,

Gong

2023

Buildings

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Nuclear safety-related structures are crucial for ensuring the safety of nuclear facilities and preventing the leakage of radioactive materials, with the primary structural component being low-rise reinforced concrete (LRC) walls. These walls are required to carry combined in-plane axial and horizontal loads, making the accurate prediction of their lateral load-carrying capacity particularly important. In this study, six LRC walls with aspect ratios between 0.33 and 1 were tested and a model for the prediction of the lateral load-carrying capacity of LRC walls was established based on the observed failure mode and plastic limit theory. The parameter in the model was calibrated using the obtained results in this test along with a database containing 131 walls in the literature. Compared to the equations in the American standard ACI 349 and the French standard RCC-CW, the proposed equation is most suitable for assessing the lateral load-carrying capacity of LRC walls in nuclear safety-related structures. The calculated values of the proposed equation exhibit a ratio closest to 1 when compared to experimental values and possess the minimum degree of variation. The computational results reveal that the proposed equations in this study exhibit superior precision and stability.

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