Přehled o publikaci
2014
NEURAL TISSUE RESPONSE TO IMPACT - NUMERICAL STUDY OF WAVE PROPAGATION AT LEVEL OF NEURAL CELLS
HOZMAN, Jiří; Josef BRADÁČ and Jan KOVANDABasic information
Original name
NEURAL TISSUE RESPONSE TO IMPACT - NUMERICAL STUDY OF WAVE PROPAGATION AT LEVEL OF NEURAL CELLS
Authors
HOZMAN, Jiří (203 Czech Republic, guarantor, belonging to the institution); Josef BRADÁČ (203 Czech Republic) and Jan KOVANDA (203 Czech Republic)
Edition
NEURAL NETWORK WORLD, 2014, 1210-0552
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
General mathematics
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/46747885:24510/14:#0001134
Organization
Faculty of Science, Humanities and Education – Technical University of Liberec – Repository
UT WoS
000336236800004
Keywords in English
Wave propagation in neural medium; discontinuous Galerkin method; Crank-Nicolson scheme; high-resolution semi-implicit scheme; traveling wave; energy invariant; Gauss pulse; critical frequency
Changed: 7/4/2015 14:15, Jiří Hozman
Abstract
V originále
In this article, we deal with a numerical solution of the issue concerning one-dimensional longitudinal mechanical wave propagation in linear elastic neural weakly heterogeneous media. The crucial idea is based on the discretization of the wave equation with the aid of a combination of the discontinuous Galerkin method for the space semi-discretization and the Crank-Nicolson scheme for the time discretization. The linearity of the second-order hyperbolic problem leads to a solution of a sequence of linear algebraic systems at each time level. The numerical experiments performed for the single traveling wave and Gauss initial impact demonstrate the high-resolution properties of the presented numerical scheme. Moreover, a well-known linear stress-strain relationship enables us to analyze a high-frequency regime for the initial excitation impact with respect to strain-frequency dependency.