๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The elastic properties in bulk and shear of a glass bead-reinforced epoxy resin composite

โœ Scribed by R. J. Crowson; R. G. C. Arridge


Publisher
Springer
Year
1977
Tongue
English
Weight
782 KB
Volume
12
Category
Article
ISSN
0022-2461

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Artificial neural networks applied to ep
โœ E.M. Bezerra; A.C. Ancelotti; L.C. Pardini; J.A.F.F. Rocco; K. Iha; C.H.C. Ribei ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 793 KB

Inspired by the biological nerve system, artificial neural networks (ANN) have been tools of artificial intelligence for data classification and pattern recognition, and can be used to simulate a wide variety of non-linear complex scientific systems. Artificial neural networks are being used in medi

Short-beam and three-point-bending tests
โœ E. Sideridis; G. A. Papadopoulos ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 235 KB ๐Ÿ‘ 2 views

## Abstract The bending properties of composite materials are often characterized with simply supported beams under concentrated loads. The results from such tests are commonly based on homogeneous beam equations. For laminated materials, however, these formulas must be modified to account for the