An efficient adaptive frequency sampling scheme for large-scale transient boundary element analysis. (15th April 2016)

• Record Type: Journal Article
• Authors: Xiao, Jinyou; Rong, Junjie; Ye, Wenjing; Zhang, Chuanzeng
• Is Part Of: Computers & structures. Volume 167(2016)
• Page Start: 86
• Page End: 95
• Publication Date: 2016-04-15
• Subjects: Boundary element method -- Elastodynamics -- Inverse Laplace transform -- Adaptive frequency sampling -- Time-domain; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2016.01.014
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: Aims at reducing the computational cost for BEM transient analysis using the frequency-domain approach. Proposes an adaptive algorithm to determine the optimal sampling frequencies. Achieves 2 to 4 times reduction of the total computational cost. Abstract: The frequency-domain approach (FDA) to transient analysis of the boundary element method, although is appealing for engineering applications, is computationally expensive. This paper proposes a novel adaptive frequency sampling (AFS) algorithm to reduce the computational time of the FDA by effectively reducing the number N c of sampling frequencies. The AFS starts with a few initial frequencies and automatically determines the subsequent sampling frequencies. It can reduce N c by more than 2 times while still preserving good accuracy. In a porous solid model with around 0.3 million unknowns, 4 times reduction of N c and the total computational time is successfully achieved.