基于子结构综合方法的人体座椅振动预测。In:驾驶和远程信息处理中的人为因素,以及座椅舒适度

Kazuhito Kato, S. Kitazaki, H. Tobata
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引用次数: 4

摘要

本文介绍了一种利用测量的具有和不具有刚性质量的座椅组件的加速度数据来预测有坐姿的人的座椅振动传递率的方法。该预测方法考虑了座椅振动的非线性和测量的方便性。它可以很容易地应用于涉及汽车的实验,因为它不需要测量反作用力。利用人体进行预测可以提高预测的准确性,利用驾驶点的横向表观质量、臀部的纵向表观质量和靠背的前后方向表观质量,这些都是根据实际车辆座椅与人体的传递率计算得到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PREDICTION OF SEAT VIBRATION WITH A SEATED HUMAN SUBJECT USING A SUBSTRUCTURE SYNTHESIS METHOD. IN: HUMAN FACTORS IN DRIVING AND TELEMATICS, AND SEATING COMFORT
The paper describes a method of predicting seat vibration transmissibilities with a seated human subject from acceleration data measured for the seat assembly with and without a rigid mass. This prediction method takes into account the nonlinearity of seat vibration and ease of measurement. It can be easily applied to experiments involving cars because it does not require measurement of reaction forces. The use of the human body in the prediction appeared to improve the accuracy of the prediction by using the driving point apparent masses in the lateral direction, transfer apparent masses of the buttocks in the vertical direction, and those of the backrest in the fore-and-aft direction, which were calculated from the transmissibilities of actual vehicle seats with human subjects.
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