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Monitoring the Condition of Non-linear Packaging Materials Subject to Varying Excitation Levels Using a Reverse Multiple Input/Single Output Based Approach

机译:使用基于反向多输入/单输出的方法来监测非线性包装材料在不同激励水平下的状况

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摘要

During transportation, protective packaging is subjected to random dynamic compressive loads that arise from random vibrations generated by the vehicle. The ability of the protective packaging to withstand these dynamic compressive loads depends on the environmental vibration levels, the nominal stresses and the material's characteristics. Previous research has shown that cumulative damage, in the packaging system under random dynamic compression, will result in a change in the overall stiffness of the system. This change is manifested as a shift in the system's fundamental resonant frequency. Natural frequency estimates are often extracted using a least squares regression curve fit applied to an estimate of the system's frequency response function. Frequency response function estimates are generally obtained using the Fourier transform with a single input/single output (SISO). This approach is suitable for many applications; however, it is not well suited to non-linear systems subjected to non-stationary excitation where the vibration level (overall root-mean-square value) can vary. This paper investigates the use of an optimised reverse multiple input/single output algorithm for reliably tracking variations in the condition of packaging elements subjected to excitation with varying magnitude (root-mean-square). Results are presented from the analysis of physical experiments performed on expanded polystyrene cushions as well as empty corrugated paperboard containers. The experiments performed using the polystyrene samples were designed to limit natural variation in the system's natural frequency; whereas the paperboard samples were allowed to naturally damage under dynamic loading. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:在运输过程中,保护性包装会承受由于车辆产生的随机振动而产生的随机动态压缩载荷。保护性包装材料承受这些动态压缩载荷的能力取决于环境振动水平,标称应力和材料的特性。先前的研究表明,包装系统在随机动态压缩下的累积损坏将导致系统整体刚度发生变化。这种变化表现为系统基本谐振频率的变化。通常使用应用于系统频率响应函数估计的最小二乘回归曲线拟合来提取自然频率估计。通常使用具有单个输入/单个输出(SISO)的傅立叶变换来获得频率响应函数估计。这种方法适用于许多应用。但是,它不适用于受到非平稳激励的非线性系统,在该系统中,振动水平(总均方根值)可能会发生变化。本文研究了如何使用优化的反向多重输入/单输出算法来可靠地跟踪受到变化幅度(均方根)激励的包装元件状态的变化。结果是通过对在膨胀的聚苯乙烯垫子以及空的瓦楞纸板容器上进行的物理实验分析得出的。使用聚苯乙烯样品进行的实验旨在限制系统自然频率的自然变化;而纸板样品在动态载荷下自然受损。版权所有(c)2015 John Wiley&Sons,Ltd.

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