𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Identification of effective elastic constants of composite plates based on a hybrid genetic algorithm

✍ Scribed by Shun-Fa Hwang; Jen-Chih Wu; Rong-Song He


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
343 KB
Volume
90
Category
Article
ISSN
0263-8223

No coin nor oath required. For personal study only.

✦ Synopsis


Vibration testing combined with a numerical method is a potential alternative approach for determining elastic constants of materials. To obtain better results, the numerical method based on a hybrid genetic algorithm is proposed. As verified from available data in the literature, the repeatability and accuracy of the proposed inverse determination method are confirmed, and it also shows that the concept of effective elastic constants is workable. The proposed method is applied successfully to determine the effective elastic constants of a woven composite plate and two PCBs. Moreover, a systematical two-step procedure is proposed to make up the problem of missing natural frequencies or natural frequencies with large errors due to the limitation in the measurement. Hence, the applicability of the present method to identify the effective elastic constants of inhomogeneous composite plates is demonstrated.


πŸ“œ SIMILAR VOLUMES


Application of genetic algorithms for th
✍ Jesiel Cunha; Scott Cogan; Christophe Berthod πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 163 KB πŸ‘ 1 views

This work has been placed within the framework of the identi"cation of sti!ness properties of composite materials from dynamic tests. More precisely, the used approach has been inserted in the general context of model updating. The genetic algorithms method has been used as a complementary technique

Comment on β€œHybrid computational strateg
✍ W. Sha πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 141 KB

This short communication comments on a series of papers using artificial neural networks published by Guessasma and co-workers in structures journals. The issues discussed include the size of the database for training a neural network, database enlargement for training a neural network, and extrapol

Effect of Silicone Carbide on the Elasti
✍ Said Rjafiallah; Sofiane Guessasma πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 704 KB

## Abstract The effect of a rigid filler on the elastic properties of starch‐based composites is investigated. Thermomolding of the targeted composite is conducted using a starch matrix with varying silicone carbide content. Mechanical testing reveals that the composite's Young modulus cannot be ra