Connection Design of Precast Concrete Structures Using Machine Learning Techniques
In this research, the number of dowels (horizontal connection) has been determined using support vector machines (SVM), gradient boosting and artificial neural networks (ANN-Multilayer perceptron). Building height, length and thickness of the wall, maximum shear, maximum compressive force and maximu...
Main Authors: | Nitin Dahiya, Babita Saini, H. Chalak |
---|---|
Format: | Article |
Language: | English |
Published: |
Pouyan Press
2023-07-01
|
Series: | Journal of Soft Computing in Civil Engineering |
Subjects: | |
Online Access: | https://www.jsoftcivil.com/article_169215_a89513093a05a707ab863534b5d275f3.pdf |
Similar Items
-
Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio
by: Nitin Dahiya, et al.
Published: (2021-07-01) -
Nonlinear finite element analysis of the precast concrete beam-to-column connection /
by: 385225 Hii, Jing Song
Published: (2004) -
Parametric studies of rectangular sleeve spice for precast concrete connections /
by: 487601 Tan, Kee Hong, et al.
Published: (2009) -
Behaviour of bolted beam-to-column precast concrete connections /
by: Ahmad Baharuddin Abd. Rahman 171778, et al.
Published: (2008) -
Precast concrete : handling and erection/
by: 301210 Waddell, Joseph J.
Published: (1974)