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 DesignLanguage)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 controlin the ANSYS's PSD(powerspectrum density) analysis is developed in the powerful APDL(ANSYS ParametricDesign Language) language. Multi-table is used to store the base importingspectrum, which has lifted the limit that the base importing spectrum canonly be described by less than 50 data points. So the base importingspectrum can be identified via a feedback. The computing efficiency andprecision are improved greatly.