Value Prediction of Materials Mechanical Properties Using I-kaz Analysis Method during Impact Test: Experimental Study

摘要

The specific mechanical constant of a material can be determined by examining in detail its dynamic pulse response or dynamic resonance. This paper proposes the use of the Multilevel Integrated Kurtosis Algorithm with Z-notch Filter (I-kaz multilevel) signal analysis method which is used on dynamic resonance signals to predict the value of specific mechanical properties of the test materials. Four rectangular bars made from four different materials were excited in an anechoic room by an impact test which produces transient sound radiation and vibration responses. The sound and vibration signals were recorded using microphones and accelerometer sensors respectively. An alternative Z-stem filtering technique was used on the captured signals for noise removal purpose which may have been captured by the sensor equipment during the impact test. The filtered signals were analysed using the I-kaz multilevel analysis method to determine the pattern of the signal and to estimate the significant differences between the four materials. The experimental power curve equations of mechanical loss coefficient vs. linear coefficient and compressive strength vs. linear equation can be used to predict the unknown values of the mechanical loss coefficient and compressive strength of the test material.