Principal component analysis of the cross-axis apparent mass nonlinearity during whole-body vibration

During whole-body vibration (WBV), dynamic forces measured at the excitation-subject interface in directions other than the excitation axis, i.e. cross-axis response, are analysed using the principal component analysis (PCA) and virtual coherence techniques. The study applied these operations to the inline and cross-axis forces measured with twelve semisupine human subjects exposed to longitudinal horizontal nominally random vibration between 0.25 and 20 Hz at root mean square acceleration levels of 0.125 ms(-2) and 1.0 ms(-2). The source identification is realised by a reversed path, aiming to identify relative contributions and correlations between the forces in response to a single axis excitation. The inline longitudinal and the cross-axis vertical forces were found to be correlated to each other from a low (e.g. 1-3 Hz) to a medium frequency range (e.g. 10-15 Hz). Above this range, where the forces were much reduced, the two forces tended to be independent in their contribution to the overall response. The singular vectors and virtual coherences were able to establish the degree of correlation in each of the frequency band identified. A signal processing framework is then proposed to take into account cross-axis responses for human vibration. Crown Copyright (C) 2020 Published by Elsevier Ltd. All rights reserved.

Automated summary

This study analyzed dynamic forces measured during whole-body vibration, focusing on cross-axis response and source identification. The results showed correlations between inline longitudinal and cross-axis vertical forces at lower to medium frequency ranges, while above this range the forces tended to be independent. Proposed signal processing framework considers cross-axis responses in human vibration.