Introduction

In accordance with the definition of instantaneous sound intensity as the product of the instantaneous acoustic pressure and the instantaneous particle velocity, an intensity measurement system should incorporate transducers of each of these the quantities. It is imperative that the presence of the transducers diffracts the sound field to an acceptably small degree, and that the transducer(sensor) assembly does not vibrate at audio-frequencies with a velocity amplitude comparable with the particle velocity of the acoustic field.
传感器使声场发生可接受的小角度的衍射是不可避免的,同时,相比于声场的particle velocity来说,传感器组并不会由于声音频率而发生震动。


Principles of Measurement of Sound Intensity

Sound pressure and particle velocity in a sound field can both be expressed as functions of the velocity potential of the field, but the relationship between the two depends upon the type of sound field, and is not unique. Therefore it is necessary to employ at least two sensors to determine sound intensity. Two categories of probe are in use: one with a particle velocity transduction unit, the other comprises two microphones. We shall refer to the former as a 'p-u' probe, and to the later as a 'p-p' probe, which enjoys far greater use.

  • The p-u principle

  • The p-p principle
    Two nominally identical pressure sensors are placed close together in a support structure which is designed to minimise diffraction of the incident sound field. Most microphone capsules take the form of short cylinders which may be associated in various configurations.

    In a small amplitude sound field, the component of pressure gradient in any direction n is proportional to the component of fluid particle acceleration in that direction:

    The corresponding component of particle velocity is therefore given by the time integral

    This is approximated as

    where d is the distance separating the acoustic centres of the transducers; this will henceforth be termed the 'separation distance'.
    The pressure at the point midway between sensors is approximated as

    Hence, the instantaneous intensity component is approximated by

    Many sources operate steadily; their sound fields may be considered to be stationary, and for the determination of source sound power the mean intensity is of prime interest. Time stationary signals x(t) and y(t) are such that x(dx/dt) = y(dy/dt) = 0, and x(dy/dt) = -y(dx/dt). In this case, p


Frequency Distribution of Sound Intensity in Time-Stationary Sound Fields

As we have seen, the component of the instantaneous sound intensity in any particular direction is atime-dependent quantity. The expression relevant to harmonic fields.

  1. p-u case
    ‘Indirect' frequency analysis procedures are based upon Fourier (spectral) analysis of the two probe signals, which is introduced here via the correlation function which indicates the time-average relationship between two signals in the time domain. The Cross-correlation Function between the pressure and particle velocity is defined as

    (Note: in the case of harmonic signals the limiting process is replaced by a time average over an integer number of cycles.)
    Hence, the mean intensity component in direction r is given by

    The distribution in frequency of the product of the p and u component of that frequency is given by the Fourier transform of the cross-correlation function, which is termed the Cross-spectral Density:

    This function is mathematically complex. indicating the average phase relationship between p and u.
    R and S form a Fourier transform pair, and thus

    and

    In this sense, S represents the distribution of the contributions of different frequency components of the sound field to the mean intensity.
    Cross-spectra possess the following properties:

    The spectral function S is defined for all positive and negative frequencies, i.e. it can be represented by pairs of counter-rotating phasors(一对旋转的矢量). For practical purposes it is convenient to redefine the spectral densities as single-sided (单面)functions of frequency, thus:

    Hence, the distribution of contributions of the different frequency components to the mean intensity component is

    When a p-u probe is used, the equation above may be implemented directly with a two-channel FFT analyser to give I(w) in the direction of the probe axis. The total vector in a stationary field may be obtained by vector addition of the results of sequential measurements in three orthogonal directions.
    The imaginary part of G(w) is proportional to the magnitude of the reactive intensity: however, unlike the real part, it does not represent the distribution of contributions of frequency components to a time-average quantity because the mean reactive intensity is zero at all frequencies.
  2. p-p case

Principles of measurement of sound intensity的更多相关文章

  1. UVA10048 Audiophobia[Floyd变形]

    UVA - 10048 Audiophobia Consider yourself lucky! Consider yourself lucky to be still breathing and h ...

  2. UVa 10048: Audiophobia

    这道题要求我们求出图中的给定的两个节点(一个起点一个终点,但这是无向图)之间所有“路径中最大权值”的最小值,这无疑是动态规划. 我开始时想到根据起点和终点用动态规划直接求结果,但最终由于题中S过大,会 ...

  3. Uva10048 Audiophobia (Floyd)

    题意:有一个无向带权图,求出两点之间路径的最大边权值最小能为多少. 思路:使用floyd算法跑一边以备查询,每一次跑的过程中dp[i][j]=min(dp[i][j],max(dp[i][k],dp[ ...

  4. Audiophobia(Floyd算法)

    个人心得:这在一定途径上完成查询方面还是很吃力,得多锻炼空间能力,不能再每次都看到就后退,要全力应对, 那怕被虐的不要不要的. 这题主要是求俩个端点中所有路径中最大构成的集合中最小的数值,其实开始思想 ...

  5. UVa10048_Audiophobia(最短路/floyd)(小白书图论专题)

    解题报告 题意: 求全部路中最大分贝最小的路. 思路: 类似floyd算法的思想.u->v能够有另外一点k.通过u->k->v来走,拿u->k和k->v的最大值和u-&g ...

  6. Indexing Sensor Data

    In particular embodiments, a method includes, from an indexer in a sensor network, accessing a set o ...

  7. [快速幂]Codeforces Round #576 (Div. 2)-C. MP3

    C. MP3 time limit per test 1 second memory limit per test 256 megabytes input standard input output ...

  8. Spatial Sound Research

    Spatial Sound Research What are our goals? The basic goal of our research is to develop cost-effecti ...

  9. java sound初探

    网上关于java sound的正规资源讲解的非常好,本文不再给出示例,主要提供一些好的资源,并说说我的一些理解,用于形成对java sound的整体认识. 一.几个词汇 TTS:text-to-spe ...

随机推荐

  1. C语言-纸牌计算24点小游戏

    C语言实现纸牌计算24点小游戏 利用系统时间设定随机种子生成4个随机数,并对4个数字之间的运算次序以及运算符号进行枚举,从而计算判断是否能得出24,以达到程序目的.程序主要功能已完成,目前还有部分细节 ...

  2. 学习EXT.JS5时的重点载图

    组件实例化的五种方式,最后一种不建议了 MVVM的图示,及controller的生存周期和MVC的不一样. VIEWCONTROLLER如何得到VIEW的实例呢,注意LOOKUPREFERENCE的使 ...

  3. 让tomcat启动更快的设置

    http://wiki.apache.org/tomcat/HowTo/FasterStartUp#Entropy_Source 关于随机数的"熵源"(entropy source ...

  4. gulp

    npm install -g gulp // 全局安装gulp 是为了执行 gulp 任务npm install gulp --save-dev // 本地安装gulp 是为了调用 gulp 插件 - ...

  5. MySQL开发规范

    字段设计 (1)建议使用UNSIGNED存储非负数值. (2)建议使用INT UNSIGNED存储IPV4. (4)INT类型固定占用4字节存储,例如INT(4)仅代表显示字符宽度为4位,不代表存储长 ...

  6. java的布尔运算符和位运算符

    1.布尔运算符 &&  逻辑与: ||   逻辑或: !=  不等于: 三元操作符:?: :表达式为  condition?expression1:expression2(当条件为真时 ...

  7. 浩瀚科技 定制现场无线手持打印PDA手持终端扫描条码开单解决方案

    PDA通过扫描商品条码移动开单,实现便携式办公,伴随式销售,是深圳市浩瀚技术有限公司的一款最新安卓微POS产品,PDA能通过WIFI无线局域网.GPRS互联网直接与主机电脑连接,让公司业务人员能随时随 ...

  8. 基于dubbo的分布式项目实例应用

    本文主要学习dubbo服务的启动检查.集群容错.服务均衡.线程模型.直连提供者.只定阅.只注册等知识点,希望通过实例演示进一步理解和掌握这些知识点. 启动检查 Dubbo缺省会在启动消费者时检查依赖的 ...

  9. NoSQL 数据库分类

    类型 部分代表 特点 列存储 Hbase Cassandra Hypertable 顾名思义,是按列存储数据的.最大的特点是方便存储结构化和半结构化数据,方便做数据压缩,对针对某一列或者某几列的查询有 ...

  10. c#教程之通过数据绑定修改数据

    通过数据绑定修改数据 "实体框架"提供了与数据库的双向通信通道.前面已经讲述了如何使用"实体框架"获 取数据,现在来看看如何修改获取的信息,并将改动发送回数据库 ...