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New methodologies for evaluating human biodynamic response and discomfort during seated whole-body vibration considering multiple postures.

机译:评估坐姿全身振动时考虑多种姿势的人体生物动力响应和不适的新方法。

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摘要

The lack of adequate equipment and measurement tools in whole-body vibration has imposed significant constraints on what can be measured and what can be investigated in the field. Most current studies are limited to single direction measurements while focusing on simple postures. Besides the limitation in measurement, most of the current biomechanical measures, such as the seat-to-head transmissibility, have discrepancies in the way they are calculated across different labs. Additionally, this field lacks an important measure to quantify the subjective discomfort of individuals, especially when sitting with different postures or in multiple-axis vibration.;This work begins by explaining discrepancies in measurement techniques and uses accelerometers and motion capture to provide the basis for more accurate measurement during single- and three-dimensional human vibration responses. Building on this concept, a new data collection method is introduced using inertial sensors to measure the human response in whole-body vibration. The results indicate that measurement errors are considerably reduced by utilizing the proposed methods and that accurate measurements can be gathered in multiple-axis vibration.;Next, a biomechanically driven predictive model was developed to evaluate human discomfort during single-axis sinusoidal vibration. The results indicate that the peak discomfort can be captured with the predictive model during multiple seated postures. The predictive model was then modified to examine human discomfort to whole-body vibration on a larger scale with random vibrations, multiple postures, and multiple vibration directions. The results demonstrate that the predictive measure can capture human discomfort in random vibration and during varying seated postures.;Lastly, a new concept called effective seat-to-head transmissibility is introduced, which describes how to combine the human body's biodynamic response to vibration from multiple directions. This concept is further utilized to quantify the human response using many different vibration conditions and seated postures during 6D vibration. The results from this study demonstrate how complicated vibrations from multiple-input and multiple-output motions can be resolved into a single measure. The proposed effective seat-to-head transmissibility concept presents an objective tool to gain insights into the effect of posture and surrounding equipment on the biodynamic response of the operators.;This thesis is timely as advances in seat design for operators are increasingly important with evolving armrests, backrests, and seat suspension systems. The utilization of comprehensive measurement techniques, a predictive discomfort model, and the concept of effective seat-to-head transmissibility, therefore, would be beneficial to the fields of seat/equipment design as well as human biomechanics studies in whole-body vibration.
机译:全身振动缺乏适当的设备和测量工具,这对可测量的东西和在现场进行的研究施加了很大的限制。当前大多数研究仅限于单方向测量,而侧重于简单的姿势。除了测量上的局限性外,当前大多数生物力学测量方法(例如座椅到头部的可透过性)在不同实验室之间的计算方式上也存在差异。此外,该领域缺乏量化个体主观不适感的重要措施,尤其是当坐着以不同的姿势或在多轴振动中时;该工作首先解释了测量技术的差异,并使用加速度计和运动捕捉为在单维和三维人体振动响应中进行更精确的测量。在此概念的基础上,引入了一种新的数据收集方法,该方法使用惯性传感器来测量人体在全身振动中的响应。结果表明,利用所提出的方法可以大大减少测量误差,并且可以在多轴振动中收集准确的测量结果。接下来,开发了一种生物力学驱动的预测模型来评估单轴正弦振动期间的人体不适。结果表明,在多个坐姿期间,预测模型可捕获最大不适感。然后对预测模型进行修改,以更大范围地检查人体对随机振动,多个姿势和多个振动方向的不适感。结果表明,该预测性措施可以捕获随机振动和不同坐姿时的不适感;最后,引入了一种新的概念,即有效的头对头可传播性,它描述了如何结合人体对来自振动的振动的生物动力响应多个方向。该概念被进一步用于量化6D振动过程中使用许多不同的振动条件和坐姿的人体反应。这项研究的结果表明,如何将多输入和多输出运动产生的复杂振动分解为一个度量。提出的有效的座椅到头部可透过性的概念提出了一种客观的工具,可以洞察姿势和周围设备对操作员的生物动力反应的影响。扶手,靠背和座椅悬架系统。因此,综合测量技术,预测不适模型和有效的头对头可透过性的概念的利用,将对座椅/设备设计领域以及人体在全身振动中的生物力学研究领域有所帮助。

著录项

  • 作者

    DeShaw, Jonathan.;

  • 作者单位

    The University of Iowa.;

  • 授予单位 The University of Iowa.;
  • 学科 Biomedical engineering.;Biomechanics.;Occupational safety.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:47

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