arrow
Return

Transient dynamic boundary element analysis using Gaussian-based mass matrix

delete2002-03-01
delete27
PRE
AI
Y
Youssef F. Rashed *
DOI:10.1016/S0955-7997(01)00095-9delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper presents a new boundary element formulation for transient dynamic analysis. The formulation is based on the solution of the problem using the static fundamental solution. The inertia term is approximated using particular solutions using radial bases functions. Another collocation scheme is preformed to determine suitable coefficients for the radial bases function approximation. The Gaussian radial bases function is used as it rapidly decays leading to better conditioned and sparse matrices. The necessary kernels are derived and their limiting values at the singular node are given. The formulation is implemented into a computer program that accounts for boundary and internal nodes. Two examples are presented to show the accuracy and the validity of the present formulation. A numerical discussion on using the Gaussian function with compact supported or cut-off radius is also given. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keywords:
boundary element method
transient dynamic analysis
Gaussian radial bases functions
particular solutions
dual reciprocity method
mass matrix
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Engineering Analysis with Boundary Elements cover
Engineering Analysis with Boundary Elements
IF:
4.1
Papers:
5.8K
Citations:
9.4K

Organization

No organization information available
Cited Papers

Cited Papers

Volumetric peeling
err2008-08-11
err0
PREAI
errNavneeth Subramanian; Vivek Vaidya; Rakesh Mullick; Ravikanth Malladi
errShare
errSave
Microdosimetric Study for Nanosecond Pulsed Electric Fields on a Cell Circuit Model with Nucleus
err2013-04-18
err0
PREAI
errAgnese Denzi; Caterina Merla; Paola Camilleri; Alessandra Paffi; Guglielmo d’Inzeo; Francesca Apollonio; Micaela Liberti
errShare
errSave
Nrf2: a promising trove for diabetic wound healing
err2017-12-01
err0
errOAAI
errAmruta Jindam; Veera Ganesh Yerra; Ashutosh Kumar
errShare
errSave
no more