A DRBEM approximation of the Steklov eigenvalue problem


TÜRK Ö.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, cilt.122, ss.232-241, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 122
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.enganabound.2020.11.003
  • Dergi Adı: ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, INSPEC, Metadex, zbMATH, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.232-241
  • Anahtar Kelimeler: Boundary elements, DRBEM, Steklov eigenvalue problem, Arbitrary domains, BOUNDARY-ELEMENT METHOD, CONVERGENCE, EQUATIONS
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In this study, we propose a novel approach based on the dual reciprocity boundary element method (DRBEM) to approximate the solutions of various Steklov eigenvalue problems. The method consists in weighting the governing differential equation with the fundamental solutions of the Laplace equation where the definition of interior nodes is not necessary for the solution on the boundary. DRBEM constitutes a promising tool to characterize such problems due to the fact that the boundary conditions on part or all of the boundary of the given flow domain depend on the spectral parameter. The matrices resulting from the discretization are partitioned in a novel way to relate the eigenfunction with its flux on the boundary where the spectral parameter resides. The discretization is carried out with the use of constant boundary elements resulting in a generalized eigenvalue problem of moderate size that can be solved at a smaller expense compared to full domain discretization alternatives. We systematically investigate the convergence of the method by several experiments including cases with selfadjoint and non-selfadjoint operators. We present numerical results which demonstrate that the proposed approach is able to efficiently approximate the solutions of various mixed Steklov eigenvalue problems defined on arbitrary domains.