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Published September 2020 | Version v1
Journal article

Issues related to the second spectrum, Ostrogradsky's energy and the stabilization of Timoshenko–Ehrenfest-type systems

  • 1. Federal University of Pará (Brazil)
  • 2. Federal University of Pará. Faculty of Mathematics (Brazil)
  • 3. University of Sharjah. Department of Mathematics, College of Sciences (United Arab Emirates)

Description

In this paper, we discuss the stabilization properties of a beam model on a Winkler foundation by using Timoshenko–Ehrenfest-type systems, taking into account the influence of the so-called second spectrum. We consider the well-known classical version of the Timoshenko–Ehrenfest beam model as well as the truncated (or simplified) version of the same beam model according to the approach given by Elishakoff (in: Banks-Sills (ed.), Advances in mathematical modelling and experimental methods for materials and structures, solid mechanics and its applications. Springer, Berlin, pp 249–254, 2010). The main novelty of our approach is the concept of applying Ostrogradsky's energy to both beam models to highlight the physics issues arising in the frequency spectra. Our ideas are an attempt to fill the gap regarding the consequences of the second spectrum in the stabilization scenario for dissipative Timoshenko systems that are partially damped.

Additional details

Identifiers

Publishing Information

Journal Title
Acta Mechanica
Journal Volume
231
Journal Issue
9
Journal Page Range
p. 3565-3581
ISSN
0001-5970
CODEN
AMHCAP

INIS

Country of Publication
Austria
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55056250
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BEAM PROFILES; BEAMS; CLASSICAL MECHANICS; DAMPING; FREQUENCY DEPENDENCE; MATHEMATICAL MODELS; PHYSICS; SIMULATION; SOLIDS; SPECTRA; STABILIZATION; USES
Descriptors DEC
MECHANICS

Optional Information

Copyright
Copyright (c) 2020 © Springer-Verlag GmbH Austria, part of Springer Nature 2020