Date of Award

2011

Degree Type

Thesis

Degree Name

Master of Science

Program

Kinesiology

Supervisor

Dr. James P. Dickey

Abstract

This study was conducted to evaluate whether it is possible to accurately predict Seat Effective Amplitude Transmissibility (SEAT) values for multi-axis occupational vibrations. Seat transfer functions were based on low and high random vibration exposures containing accelerations in six degrees of freedom between 0.5 and 30 Hz. SEAT factors were calculated by multiplying the power spectrum of the chassis vibration by the seat transfer function. Moderate correlations between predicted and measured SEAT values were seen for some seats in the Z-axis (r2 = 0.25 - 0.45, p<0.05); however, on average, the correlations were low in all linear directions (r2 < 0.10). These low correlations may suggest the presence of cross-axis effects between vibrations in each degree of freedom. A more complex prediction model, such as an artificial neural network or a principal component analysis model, may better predict SEAT values for multi-axis vibration exposures.

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