Modelling of laminated metal-ceramic composites with neural network control of elastic waves transformations

Title:

Modelling of laminated metal-ceramic composites with neural network control of elastic waves transformations

Creator:

Koshur, V. D.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:59042345-dff0-4b46-94e9-b4febf888580
uuid:59042345-dff0-4b46-94e9-b4febf888580

Subject:

artificial neural networks, smart materials and structures, adaptive control, piezoelectric materials, and waves transformations

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Intelligent materials, structures and structronic (structure + electronic) Systems can function autonomously in response to the varying environmental and operating conditions [1-4]. This paper describes the application of artificial neural networks as adaptive controllers for elastic waves transformations. The results presented are connected to the modelling of srnart composite materials proposed as an integral, mechanical, neural network and electronic system which has been named as the Matrix Electronic Materials (MEM). A converse piezoelectric effect is used to suppress the amplitudes or to modify the frequency of elastic waves which propagate along the thickness of a laminated metal-ceramic plate when on the front surface of the plate the oscillating pressure is applied. The investigation of such problems relating to the elaboration of smart materials and structures, can be used for diverse technical applications, in particular, for suppression of vibrations and noise.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2002 Volume:12 | Number:4

Harvested from:

CDK

Metadata only:

false