返回
Trefftz-based methods for time-harmonic acoustics
DOI:10.1007/s11831-007-9010-x.png)
摘要
En 中文
Over the last decade, Computer Aided Engineering (CAE) tools have become essential in the assessment and optimization of the acoustic characteristics of products and processes. The possibility of evaluating these characteristics on virtual prototypes at almost any stage of the design process reduces the need for very expensive and time consuming physical prototype testing. However, despite their steady improvements and extensions, CAE techniques are still primarily used by analysis specialists. In order to turn them into easy-to-use, versatile tools that are also easily accessible for designers, several bottlenecks have to be resolved. The latter include, amongst others, the lack of efficient numerical techniques for solving system-level functional performance models in a wide frequency range. This paper reviews the CAE modelling techniques which can be used for the analysis of time-harmonic acoustic problems and focusses on techniques which have the Trefftz approach as baseline methodology. The basic properties of the different methods are highlighted and their strengths and limitations are discussed. Furthermore, an overview is given of the state-of-the-art of the extensions and the enhancements which have been recently investigated to enlarge the application range of the different techniques. Specific attention is paid to one very promising Trefftz-based technique, which is the so-called wave based method. This method has all the necessary attributes for putting a next step in the evolution towards truly virtual product design.
Keyword:
FINITE-ELEMENT-METHOD
NONREFLECTING BOUNDARY-CONDITIONS
DOMAIN DECOMPOSITION METHOD
POSTERIORI ERROR ESTIMATION
PERFECTLY MATCHED LAYER
WAVE-ENVELOPE ELEMENTS
SOUND FIELD ANALYSIS
HELMHOLTZ-EQUATION
LAGRANGE MULTIPLIERS
PREDICTION TECHNIQUE
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
12.1
论文数:
1.8K
被引数:
1.2W
机构
暂无机构信息
引用论文
Melatonin Implant Decreases the Density of 2[<sup>125</sup>I]Iodomelatonin Binding Sites in the Chicken Spleen
Neurosignals
IF0

