节点文献
随机振动数值仿真中基础激励的自动反馈识别
THE FEEDBACK AUTOMATION IDENTIFICATION OF THE BASE IMPORTING SPECTRUM IN ANSYS’S PSD ANALYSIS
【摘要】 利用ANSYS的APDL(ANSYS Parametric Design Language)语言的强大功能,结合工程实际问题,实现了随机振动试验数值仿真计算中基础输入功率谱的自动反馈识别.反馈过程中使用多个表格来存储基础输入谱,突破了基础输入谱只能用50个以内的数据点来描述的限制,故可以一次性完成基础输入谱的反馈识别,大大提高计算效率与精度.
【Abstract】 In this paper,a program for feedback automation control in the ANSYS’s PSD(power spectrum density) analysis is developed in the powerful APDL(ANSYS Parametric Design Language) language.Multi- table is used to store the base importing spectrum,which has lifted the limit that the base importing spectrum can only be described by less than 50 data points.So the base importing spectrum can be identified via a feedback.The computing efficiency and precision are improved greatly.
【关键词】 数值计算;
反馈识别;
随机振动;
功率谱密度;
【Key words】 numerical computing; feedback identifying; random vibration; PSD;
【Key words】 numerical computing; feedback identifying; random vibration; PSD;
- 【文献出处】 力学与实践 ,Mechanics in Engineering , 编辑部邮箱 ,2006年05期
- 【分类号】O324
- 【被引频次】1
- 【下载频次】175