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Fourier spectral element for simulation of vibro-acoustic modulation caused by contact nonlinearity in the beam

机译:傅里叶谱元,用于模拟由光束接触非线性引起的振动声学调制

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摘要

The purpose of this research is to provide an efficient method for simulating the Vibro-acoustic modulation (VAM) effect in beam-type structures. Contact acoustic nonlinearity (CAN) can be induced by support loosening, which is a common defect in engineering systems. The appearance of sidebands caused by wave intermodulation is the basis of VAM based Structural Health Monitoring (SHM). The VAM simulation can be used for high level SHM, such as damage imaging, to provide some insights into the intermodulation mechanism and influencing factors. In this research, the Fourier spectral element method (FSEM) is used to simulate and investigate the VAM effect for the beam structures. The clamped support is represented by an elastic foundation that can be released by lowering its stiffness. The transducers, which contained three piezoelectric patches, two for high and low frequency actuation and one for sensing, were also incorporated in the numerical model. The Lagrange multiplier method and the node-to-node contact strategy were used to formulate the contact problem. The forward increment Lagrange multipliers approach was utilized for time integration. The results are consistent with the previous studies on beams with loosened supports. Furthermore, the FSEM results were compared to their FEM counterparts to assess the former's efficacy. The impact of loosening intensity on VAM signals and damage metrics was investigated using the FSEM model. According to the results, the FSEM has a high convergence rate and accuracy, making it a good choice for improving VAM-based damage identification.
机译:本研究旨在为模拟束型结构中的振动声调制(VAM)效应提供一种有效的方法。接触声学非线性 (CAN) 可能由支撑松动引起,这是工程系统中的常见缺陷。由波互调引起的边带的出现是基于VAM的结构健康监测(SHM)的基础。VAM仿真可用于高级SHM,如损伤成像,以提供对互调机制和影响因素的一些见解。本研究采用傅里叶谱元法(FSEM)对梁结构的VAM效应进行了模拟和研究。夹紧的支撑由弹性基础表示,可以通过降低其刚度来释放。传感器包含三个压电贴片,两个用于高频和低频驱动,一个用于传感,也被纳入数值模型中。采用拉格朗日乘子法和节点间接触策略对接触问题进行表述。采用前向增量拉格朗日乘子方法进行时间积分。研究结果与之前对支撑松动梁的研究结果一致。此外,将FSEM结果与FEM结果进行比较,以评估前者的疗效。使用FSEM模型研究了松动强度对VAM信号和损伤指标的影响。结果表明,FSEM具有较高的收敛率和精度,是提高基于VAM的损伤识别的良好选择。

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