Machine learning regression models for peak shear strength prediction of squat shear walls

Shashank Tyagi, Tyagi (2023). "Machine learning regression models for peak shear strength prediction of squat shear walls." In Proceedings of FraMCoS 11, Bangalore, India.

Shashank Tyagi, Tyagi. "Machine learning regression models for peak shear strength prediction of squat shear walls." Paper presented at FraMCoS 11, Bangalore, India, 2023.

Shashank Tyagi, Tyagi, "Machine learning regression models for peak shear strength prediction of squat shear walls," in Proc. FraMCoS 11, Bangalore, India, 2023.

@inproceedings{shashank-tyagi2023,
  title     = {Machine learning regression models for peak shear strength prediction of squat shear walls},
  author    = {Shashank Tyagi, Tyagi},
  year      = {2023},
  booktitle = {Proceedings of FraMCoS 11},
  address   = {Bangalore, India},
}

TY  - CPAPER
TI  - Machine learning regression models for peak shear strength prediction of squat shear walls
AU  - Shashank Tyagi
AU  - Tyagi
PY  - 2023
T2  - Proceedings of FraMCoS 11
CY  - Bangalore, India
UR  - https://framcos.org/wp-content/uploads/framcos-papers/Machine_learning_regression_models_for_peak_shear_strength_prediction_of_squat_s.pdf
AB  - A Reinforced Concrete wall is designed to contribute to most if not the whole lateral load carrying capacity of the structure. The lateral load carrying capacity of such wall is indicated by the peak shear strength of the walls. The strength of Slender Walls can be found fairly accurately by section analysis which has been studied quite extensively and has been reported by most of the codes.Howeverthecodesfailtoprovideanaccuratemethodfordeterminingthepeakshearstrengthof Squat Walls. Various theories based on mechanics developed to study the behavior of concrete have been applied to structural walls which give accurate results but are time-consuming and resource- heavy. This complexity in…
ER  -