Contact stiffness estimation in ANSYS using simplified models and artificial neural networks

Hattori, G.; Serpa, A.L.

Abstract

The elastic contact problem, as implemented in some commercial software such as ANSYS, depends on the user choice of some parameters such as normal contact stiffness, penetration limit and contact algorithms. This work investigates the artificial neural networks (ANN) potential to predict the value of some parameters, avoiding the trial-and-error procedure to determine these values. Contact problems based on simple problems are used to train the neural network, so it can predict the normal contact stiffness for more complex problems. Some contact examples are evaluated, including the small end connecting rod contact problem, of great importance in automobile industry.

Citation

Hattori, G., & Serpa, A. (2015). Contact stiffness estimation in ANSYS using simplified models and artificial neural networks. Finite Elements in Analysis and Design, 97, 43-53. https://doi.org/10.1016/j.finel.2015.01.003

• Journal Article Type: Article
• Acceptance Date: Jan 9, 2015
• Publication Date: May 1, 2015
• Deposit Date: Apr 13, 2015
• Publicly Available Date: Jan 15, 2016
• Journal: Finite Elements in Analysis and Design
• Print ISSN: 0168-874X
• Electronic ISSN: 1872-6925
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 97
• Pages: 43-53
• DOI: https://doi.org/10.1016/j.finel.2015.01.003
• Keywords: Contact problem, Contact stiffness, Finite element, Neural network, ANSYS, Connecting rod.
• Public URL: https://durham-repository.worktribe.com/output/1443283