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首页> 外文期刊>SN Applied Sciences >Evaluation of the advanced artificial athlete and Hall effect sensors for measuring strain in multi‑layer sports surfaces
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Evaluation of the advanced artificial athlete and Hall effect sensors for measuring strain in multi‑layer sports surfaces

机译:高级人工运动员和霍尔效应传感器测量多层运动表面测量的评价

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摘要

Computer models are a useful means to explore the loading behaviour of third generation (3G) artificial turf sports surfaces; however, measuring the material stress–strain behaviour under realistic high loading rates is challenging. Therefore, the purpose of this study was two-fold: to evaluate the advanced artificial athlete (AAA) for measuring strain behaviour of polymeric sports surfaces under high loading rates typical of player interactions; and to evaluate Hall effect sensors (HES) for measuring strain behaviour of an individual layer within multi-layer sports surfaces. An independent optical measurement system (GOM) provided gold standard sample deformation and strain. Forty-five impacts onto three test samples were measured simultaneously using the three systems. Poor agreement was found between AAA and GOM peak sample deformations and strain (systematic bias 2.4 mm, 95% confidence intervals ± 1.3 mm, strain RMSD 29%), largely attributable to errors in the AAA time of initial contact. Using a regression equation to correct this time led to much better agreement in AAA peak deformations and strain (systematic bias 0.1 mm, 95% confidence intervals ± 0.7 mm, strain RMSD 8%). Good agreement was found between the HES and GOM (systematic bias 0.2 mm, 95% confidence intervals ± 0.4 mm, strain RMSD 11%). The corrected AAA and HES methods can measure deformation of polymeric sports surfaces under realistic loading rates to an accuracy of < 1 mm. In terms of strain, errors increase with decreasing peak sample deformation indicating that both systems should be used with caution for peak deformations < ~ 4–5 mm.
机译:计算机模型是探索第三代(3G)人工草坪运动表面的加载行为的有用手段;然而,测量逼真的高负荷率下的材料应力 - 应变行为是具有挑战性的。因此,本研究的目的是两倍:评估高级人工运动员(AAA),用于在典型的球员相互作用的高负荷率下测量聚合物运动表面的应变行为;并评估霍尔效应传感器(HES)以测量多层运动表面内单层的应变行为。独立的光学测量系统(GOM)提供了金标准样品变形和菌株。使用三个系统同时测量对三种测试样品的四十五次影响。在AAA和GOM峰样样变形和菌株(系统偏压2.4mm,95%置信区间±1.3mm,菌株RMSD 29%)之间发现了差的协议,主要是归因于初始接触的AAA时间中的误差。使用回归方程来纠正此时,在AAA峰值变形和菌株方面导致更好的协议(系统偏置0.1mm,95%置信区间±0.7mm,菌株RMSD 8%)。在HES和GOM之间发现了良好的一致性(系统偏置0.2mm,95%置信区间±0.4mm,菌株RMSD 11%)。校正的AAA和HES方法可以测量逼真的装载速率下聚合物运动表面的变形,以精度为<1mm。在应变方面,误差随着峰值样本变形的降低而增加,表明两个系统应小心用于峰变形<〜4-5mm。

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  • 来源
    《SN Applied Sciences》 |2020年第3期|1-14|共14页
  • 作者单位

    Sports Technology Institute Wolfson School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough LE11 3TU UK;

    School of Architecture Building and Civil Engineering Loughborough University Loughborough LE11 3TU UK;

    Department of Physics Loughborough University Loughborough LE11 3TU UK;

    Sports Technology Institute Wolfson School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough LE11 3TU UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Artificial turf; Advanced artificial athlete; Surface deformation; Hall effect sensors;

    机译:人造草坪;高级人工运动员;表面变形;霍尔效应传感器;

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