Method for expanding dynamic mechanical test data of viscous-elastic material out of test frequency

Abstract

The invention discloses a method for expanding the dynamic mechanical test data of a viscous-elastic material out of test frequency. The data comprises complex modulus, energy storage modulus and loss modulus. The method comprises the following steps of: determining parameters alpha, beta, E0 and E infinite and optimum values of the alpha, the beta, the E0 and the E infinite by fitting the test data; substituting frequency parameters of a same temperature point into a formula, and determining corresponding relaxation time by fitting the data of the energy storage modulus; and then adjusting angular frequency and expanding the data from low frequency to high frequency. By the method, an error caused in data translation process when the conventional principal curve model processes the dynamic mechanical test data of the viscous-elastic material can be avoided; modulus data and loss factor data are processed simultaneously, so an internal relation between the modulus data and the loss factor data is maintained; and the test data of the dynamic mechanical performance of the viscous-elastic material can be expanded to the low frequency and the high frequency.

Description

[0001] technical field [0002] The invention relates to a method for expanding dynamic mechanical test data of viscoelastic materials outside the test frequency in the test technology. Background technique [0003] Due to the limitations of current testing methods, it is difficult to accurately describe the dynamic mechanical properties of materials in a wide frequency range, and expanding the testing frequency of viscoelastic materials has always been the direction of efforts. It is an effective method to expand the frequency range of experimental data by mathematical methods. Using the temperature-frequency superposition principle of viscoelastic materials, the influence of frequency and temperature on the dynamic mechanical properties of materials is considered comprehensively, and the main curve is made to predict the dynamic mechanical properties of materials in a wide range of temperature and frequency. The method has been adopted by the U.S. Air Force as early as th...

AI Technical Summary

Problems solved by technology

However, these methods have various limitations, such as the need to move the data when making the main curve, which will cause errors, and the parameters in the model have no clear physical meaning, so it is difficult to analyze the model, and the modulus data and damping factor data are processed separately , severed the internal connection between the two, etc.

Images