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


Тип публикации: статья из журнала

Год издания: 2002

Ключевые слова: Adaptive control, Artificial neural networks, Piezoelectric materials, Smart materials and structures, Waves transformations, Adaptive control systems, Animation, Intelligent materials, Elastic waves transformations, Laminated metal-ceramic composites, Matrix electronic materials, Neural network control, Neural networks

Аннотация: 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 areПоказать полностьюconnected to the modelling of smart 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.

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Журнал: Neural Network World

Выпуск журнала: Vol. 12, Is. 4

Номера страниц: 349-360


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