WAVELET DENOISING FOR LOW STRAIN PILE INTEGRITY TESTING

I. Lozovsky, E. Loseva, V. Syasko
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引用次数: 2

Abstract

Low strain impact test is widely used to assess the structural integrity of reinforced concrete piles due to its high productivity and cost effectiveness. However, a low signal-to-noise ratio may prevent proper evaluation of pile length and integrity using the standard data analysis approaches. In this paper, we propose a technique for the time-frequency analysis of low strain test data, which allows us to separate the useful components of a signal from the unwanted ones. The technique is based on the continuous wavelet transform with the complex Morlet wavelet, which is shown to be the most suitable for the low strain test data decomposition. To filter the signal, the moving median of the square modulus of the continuous wavelet transform is calculated in the frequency band of the initial impact pulse. The capabilities of the technique are illustrated by the low strain test signals with the artificial noise and the results of a field test of a 30m long bored pile.
小波去噪在低应变桩完整性检测中的应用
低应变冲击试验由于具有较高的生产率和成本效益,被广泛应用于钢筋混凝土桩的结构完整性评估。然而,低信噪比可能会妨碍使用标准数据分析方法正确评估桩长和完整性。在本文中,我们提出了一种低应变测试数据的时频分析技术,该技术允许我们将信号的有用成分与不需要的成分分离开来。该方法基于连续小波变换和复Morlet小波变换,最适合于低应变试验数据的分解。为了对信号进行滤波,在初始冲击脉冲的频带内计算连续小波变换的平方模量的移动中值。人工噪声下的低应变测试信号和30m钻孔灌注桩的现场测试结果说明了该技术的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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