Supervised learning for finite element analysis of holes under biaxial load

• Main Author: Lau, Jia Tai
• Other Authors: Chow Wai Tuck
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Aeronautical engineering
• Online Access: https://hdl.handle.net/10356/139113
• Institution: Nanyang Technological University

This paper presents a novel approach of using supervised learning with a shallow neural network to increase the efficiency for the finite element analysis of holes under biaxial load. The objective of this approach is to reduce the number of elements in the finite element analysis while maintaining...