基于Green函数的两种STSF算法的比较

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振动与冲击 ›› 2012, Vol. 31 ›› Issue (6) : 155-159.

论文

基于Green函数的两种STSF算法的比较

马佳男，杨德森，时胜国;胡博

作者信息 +

The Comparison of Two STSF Methods Besed on Green's Function

MA Jia-nan，YANG De-sen，SHI Sheng-guo, hu bo

Author information +

文章历史 +

摘要

k-空间抽样格林函数法是目前基于Neumann边界条件空间声场变换技术格林函数的主要有限离散化算法。然而，该条件下的实空间积分格林函数法却很少应用在相关的课题研究中。所以对于该算法的重构特性以及这两种算法在空间声场变换中的优劣是人们一直普遍关注的问题。本文通过计算修正了该算法在Neumann边界条件下的计算参数，并通过数值仿真分析了实空间积分格林函数的相关特性，最后通过仿真计算给出了这两种方法在不同重构参数下的误差分析。这些分析结果可为进一步的工程实践提供参考。

Abstract

the k-space sampling Green's function algorithm is the main limited discretization algorithm based on the technology of space transformation sound field(STSF) in the Neumann boundary condition.However, the real space integral Green's function algorithm in the same conditions is rarely used in the related research.Therefore, the reconstruction properties of this algorithm and two algorithms' advantages and disadvantages in STSF have been common concerd by people.This study revises the calculation coefficients of the algorithm through calculating，analyze its related characteristics through the simulation calculation.At the last the paper gives the error analysis with different reconstruction parameters between the two algorithms .These Analysis results can be the reference for the further engineering practice.

导出引用

马佳男;杨德森;时胜国;胡博. 基于Green函数的两种STSF算法的比较[J]. 振动与冲击, 2012, 31(6): 155-159

MA Jia-nan;YANG De-sen;SHI Sheng-guo;hu bo. The Comparison of Two STSF Methods Besed on Green's Function[J]. Journal of Vibration and Shock, 2012, 31(6): 155-159