Performance Evaluation and Shear Resistance of Modular Prefabricated Two-Side Connected Composite Shear Walls

Mei, Can; Zhao, Zhendong; Zhang, Yongshan; Wang, Dayang; Wu, Chengqing

doi:10.1007/s12205-021-2394-6

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…To avoid shear failure in these systems, ensure reliable stiffness, and control the inter-story drifts, researchers recommended designing the RC walls for the shear force of the capable bending moment [47]. In some cases, mathematical formulations and new methods were introduced to predict the shear capacity of such lateral-resistant systems [48][49][50][51]. The value of this parameter can be decreased with increasing initial axial tension or in the presence of out-of-plane eccentricity in CSW [52].…”

Section: Introductionmentioning

confidence: 99%

Optimized Computational Intelligence Model for Estimating the Flexural Behavior of Composite Shear Walls

Mirrashid,

Naderpour,

Kontoni

et al. 2023

Buildings

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This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed model was developed and validated based on 47 laboratory data points and the Transit Search (TS) optimization algorithm. Using 80% of the experimental dataset, the optimized model was selected by determining the unknown coefficients of the network-based computational structure. The remaining 20% of the data was used to evaluate the accuracy of the model, and the best-performing structure was selected. Furthermore, the final neural network details were subjected to statistical analysis to extract a user-friendly formula, making it easier to apply in practice. The proposed ANN model and the proposed user-friendly formula were then compared with the AISC 341-16 and experimental results and demonstrated their efficacy in predicting the flexural behavior of composite shear walls. Overall, the proposed approach provides a more reliable and efficient framework for estimating the flexural behavior of composite shear walls.

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