Green's functions for a layered high-contrast acoustic media


Özdemir Ö., Yucel H., Ucar Y. E., Erbas B., Ege N.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, vol.151, no.6, pp.3676-3684, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Review
  • Volume: 151 Issue: 6
  • Publication Date: 2022
  • Doi Number: 10.1121/10.0011547
  • Journal Name: JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, BIOSIS, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, Linguistics & Language Behavior Abstracts, MEDLINE, MLA - Modern Language Association Database, Music Index, zbMATH
  • Page Numbers: pp.3676-3684
  • Istanbul Technical University Affiliated: Yes

Abstract

A parametric approach based on parametric analysis of the acoustical properties of a layered media is proposed to derive a reduced layered Green's function. The approach relies on the smallness of one of the problem parameters and allows a simpler form of Green's function by disregarding the smaller parametric terms. Several illustrative examples comparing the amplitudes of exact and reduced Green's function for small parameter of density ratio in various source and observation location setups are presented. It is demonstrated that the CPU times calculated at different points decrease considerably for the reduced Green's function, further justifying the presented method. (C) 2022 Acoustical Society of America.