Computational Simulation of Composite Ply Micromechanics Using Artificial Neural Networks
| Autor: | L. Berke, P. L. N. Murthy, D. A. Brown |
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| Rok vydání: | 2008 |
| Předmět: |
Engineering
Artificial neural network business.industry Computation Composite number Micromechanics Control engineering Computer Graphics and Computer-Aided Design Computer Science Applications Characterization (materials science) Computational simulation Software Computational Theory and Mathematics Component (UML) Artificial intelligence business Civil and Structural Engineering |
| Zdroj: | Computer-Aided Civil and Infrastructure Engineering. 6:87-97 |
| ISSN: | 1093-9687 |
| DOI: | 10.1111/j.1467-8667.1991.tb00179.x |
| Popis: | Artificial neural networks can provide improved computational efficiency relative to existing methods when an algorithmic description of functional relationships is either totally unavailable or is complex in nature. For complex calculations, significant reductions in elapsed computation time are possible. The primary goal of this project is to demonstrate the applicability of artificial neural networks to composite material characterization. As a test case, a neural network has been trained to accurately predict composite hygral, thermal, and mechanical properties when provided with basic information concerning the environment, constituent materials, and component ratios used in the creation of the composite. A brief introduction to neural networks is provided along with a description of the software tools and interfaces used in the project. Finally, the project results are presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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