A Quantitative Method for Comparing Random Vibration Simulation Data with Experimental Data

Abstract

The invention provides a method for quantitatively comparing random vibration simulation data with experimental data and aims at providing the method which can improve data comparison efficiency, reduce data analysis strength and comparison work strength and accurately locate the frequency range where errors are large. According to the technical scheme, the method includes the following steps of firstly, ranking random vibration response data which participate in comparison and are measured through experiments and obtained through stimulation into a two-dimensional array with n lines and 2 rows; secondly, using the random vibration response data measured through the experiments as a foundation, and using the interpolation method for reducing the random vibration response data obtained through the stimulation into a two-dimensional array which is the same as the two-dimensional array of the random vibration response data obtained through the experiments in size; thirdly, introducing a form similarity coefficient calculation formula, using a full-band error calculation formula for calculating error values of all frequency points, constructing a full-band error curve, checking whether the magnitude of the form similarity coefficient and the magnitude of each full-band error meet requirements of the random vibration response data obtained through the simulation and the random vibration response data obtained through the experiments or not, and quantizing the error distribution condition of the data on the whole frequency band.

Description

technical field [0001] The invention relates to a method for comparing random vibration simulation data and experimental data, especially a method suitable for quantitatively comparing response curve data obtained by random vibration simulation and response curve data obtained by experimental testing. Background technique [0002] In the field of aviation and aerospace, the reliability and safety of the system under the action of vibration environment is very important. In the laboratory, using a vibration simulation system to impose extreme values ​​and typical environmental stresses encountered in the product life cycle to assess the environmental adaptability and reliability of the product is an effective method to test product quality and improve product reliability. Modern dynamics simulation technology is mainly a mechanical behavior simulation analysis technology based on the finite element method (FEA), and FEA establishes an analysis model by discretizing the contin...

AI Technical Summary

Problems solved by technology

[0015] The purpose of the present invention is to provide a method that can improve the efficiency of data comparison, reduce the intensity of data analysis and comparison work, and accurately locate errors in view of the shortcomings of the above-mentioned prior art that cannot comprehensively, objectively and quantitatively compare random vibration simulation and experimental data. It has a large frequency range, and can effectively make up for the lack of comprehensive and in-depth comparison of data in existing methods, and quantitatively compare random vibration simulation data with experimental data.

Images