Peak Shear Strength of Flanged Reinforced Concrete Squat Walls

2020 ◽  
Vol 146 (4) ◽  
pp. 04020037
Author(s):  
Jiaxing Ma ◽  
Chao-Lie Ning ◽  
Bing Li
2019 ◽  
Vol 22 (11) ◽  
pp. 2392-2405 ◽  
Author(s):  
Jiaxing Ma ◽  
Bing Li

Peak shear strength is a critical parameter in the evaluation of the seismic performance of structural walls. Different equations have been proposed to predict the peak shear strength of reinforced concrete squat walls in literature, which assume lateral loading is parallel to the web. In reality, however, seismic waves can reach structures from any direction, which necessitates the studies on the behavior of structural walls under various lateral loading directions. Unlike rectangular walls, non-rectangular walls naturally possess the capacity to resist lateral loads in both transverse and longitudinal directions. To explore the peak shear strength of such walls under different lateral loading directions, a widely used nonlinear finite element software Diana 9.4 was utilized in this article. Appropriate modeling approaches were first selected and further validated by simulating relevant experiments. Then a comprehensive parametric study was carried out to investigate the influence of lateral loading directions and other important parameters.


Author(s):  
Anthony T.C. Goh ◽  
Wengang Zhang

Squat walls are widely used in structural engineering. The empirical equations currently used to calculate the peak shear strength of squat walls do not correlate well with the experimental results. Another limitation is the reliance on the use of many assumed intermediate parameters. This chapter explores the use of MARS and BPNN approaches to build predictive peak shear strength models of squat walls based on an extensive experimental database from the literature. First the MARS methodology and its associated procedures will be explained in detail. Analyses of the database are then carried out to verify the MARS's capacity in modelling the non-linear interactions between variables without making any specific assumptions. The performances of the built MARS and BPNN models are compared in terms of predictive accuracy, parameter relative importance, parametric analysis and model interpretability. Design charts are also proposed based on parametric studies using the developed models.


2021 ◽  
Vol 230 ◽  
pp. 111705
Author(s):  
Yuxing Yang ◽  
Amit H. Varma ◽  
Michael E. Kreger ◽  
Ying Wang ◽  
Kai Zhang

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