Limitation of the Lateral Angled Broadband Low Frequency Impact Excitation on the Non-Destructive Condition Assessment of the Timber Utility Poles

B. Jozi, Robin Braun, B. Samali, Jianchun Li, Ulrike Dackermann
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Abstract

Timber utility poles play a significant role in the infrastructure of Australia as well as many other countries for power distribution and communication networks. Due to the advanced age of Australia’s timber pole infrastructure, substantial efforts are undertaken on maintenance and asset management to avoid any failures of the utility lines. Nevertheless, the lack of reliable tools for assessing the condition of in-service poles seriously jeopardizes the maintenance and asset management. For instance, each year approximately 300,000 poles are replaced in the Eastern States of Australia with up to 80% of them still being in a very good condition, resulting in major waste of natural resources and money. Non-destructive testing (NDT) methods based on stress wave propagation can potentially offer simple and cost-effective tools for identifying the in-service condition of timber poles. Nonetheless, most of the currently available methods are not appropriate for condition assessment of timber poles in-service due to presence of uncertainties such as complicated material properties, environmental conditions, interaction of soil and structure, and an impact excitation type. In order to address these complexities, advanced digital signal processing methodologies are needed to be employed. Deterministic signal separation, blind signal separation, and frequency-wavenumber velocity filtering are the three groups of methodologies, which could most probably provide solutions. In this paper applicability and effectiveness of the blind signal separation methods is investigated through a numerical data obtained from of a timber pole modelled with both isotropic and orthotropic material properties. Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and K-means clustering algorithms are the blind signal separation methodologies that are employed in this research work.
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横向角度宽带低频冲击激励对木制电线杆无损状态评估的限制
木材电线杆在澳大利亚以及许多其他国家的电力分配和通信网络的基础设施中发挥着重要作用。由于澳大利亚的木杆基础设施年久失修,在维护和资产管理方面付出了大量努力,以避免公用线路的任何故障。然而,缺乏可靠的工具来评估在役电线杆的状况,严重危及维护和资产管理。例如,在澳大利亚东部各州,每年大约有30万个电线杆被更换,其中高达80%的电线杆仍然处于良好状态,这造成了自然资源和金钱的严重浪费。基于应力波传播的无损检测(NDT)方法可能为识别木杆的使用状况提供简单而经济的工具。然而,由于材料性质复杂、环境条件、土与结构相互作用、冲击激励类型等不确定因素的存在,现有的方法大多不适用于现役木杆的状态评估。为了解决这些复杂问题,需要采用先进的数字信号处理方法。确定性信号分离、盲信号分离和频率波数速度滤波是最有可能提供解决方案的三组方法。本文通过对具有各向同性和正交异性材料特性的木杆进行数值模拟,研究了盲信号分离方法的适用性和有效性。主成分分析(PCA)、奇异值分解(SVD)和k均值聚类算法是本研究中采用的盲信号分离方法。
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