About this document
Neural Networks for Anchorage in Concrete by Ersilio Tushaj is a document available to read on EtoBox.
The document reviews the application of artificial neural networks (ANNs) in civil engineering, particularly focusing on a new deep feed-forward neural network (FFNN) designed to predict the load capacities of adhesive anchors in cracked concrete. It highlights the advantages of using AI techniques for accurate and efficient predictions compared to traditional methods, and discusses a hybrid approach that combines nonlinear finite element analysis with the developed FFNN. The authors, Salvio A. Almeida Jr.
- Author
- Ersilio Tushaj
- Language
- EN