Abstract
In this paper Artificial Neural Network with hidden layers is applied to define a constitutive relation sigma-epsilon in an incremental form. Then ANN is used to describe dependence of effective material parameters of a composite on physical and geometrical characteristics of micro components at the micro-structural level. Using classical tools of homogenisation it is impossible to define such dependences in symbolic manner. These applications are illustrated with an example of superconducting strand for nuclear fusion device.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 |
| Publisher | Civil-Comp Press |
| Volume | 82 |
| ISBN (Print) | 1905088051, 9781905088058 |
| State | Published - Jan 1 2005 |
| Event | 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 - Rome, Italy Duration: Aug 30 2005 → Sep 2 2005 |
Other
| Other | 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 |
|---|---|
| Country/Territory | Italy |
| City | Rome |
| Period | 8/30/05 → 9/2/05 |
Keywords
- Artificial neural networks
- Effective properties
- Hierarchical composites
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Civil and Structural Engineering
- Artificial Intelligence
- Environmental Engineering