声源定义real (实部)和imag(虚)分别代表什么意思?
本帖最后由 fengxye 于 2021-8-15 17:08 编辑各位老大,VL中声源定义时如果选择Constant ,real (实部)和imag(虚部)单位都是声压N/M2,两者有什么不同代表什么呢?另外,平时给定一个声源如点源、线源时,都会给一个测点距离如1m或5m,VL中声源值给的默认距离是多少呢?data:image/png;base64,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
如果知道软件如何定义的,就可以把实际工作中测定数据或模拟数据转换为VL的声源值。
版主,麻烦审核通过一下! 另外再问一下各位老大,输入的real (实部)和imag(虚部)声压N/M2,是某一个频率的声压还是所有计算频率的声压之和呢?
页:
[1]