Damage Identification of Beam Structure Using Discrete wavelet transform

Manish Kumar, Sandeep Dhariwal, Roshan Kumar, Arvind R. Yadav, Evans Amponsah, Prasanna K.Singh
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Abstract

There is a damage to the health of civil structures over the time due to aging and loading effects i.e., wind,earthquakes etc. To identify these hidden damages at the earliest, some reliable damage detection techniques are required. In addition, it becomes essential to monitor the performance of structural integrity and it results in the increased life span of the structures. In this paper, the average energy entropy scheme based on the discrete wavelet transform is proposed to detect incipient damage in the structures. The measured response is first decomposed into a set of wavelet components and average energy entropy is computed. The proposed method is applied to the simulated response of the beam obtained with different crack levels, and performance is compared to the approximate entropy. The results obtained from the proposed method illustrate a consistent and reliable damage indicator in comparison with the existing method.
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基于离散小波变换的梁结构损伤识别
随着时间的推移,由于老化和荷载作用(如风、地震等),土木结构的健康会受到损害。为了尽早识别这些潜在损伤,需要一些可靠的损伤检测技术。此外,监测结构的完整性性能也变得至关重要,这将导致结构寿命的增加。本文提出了基于离散小波变换的平均能量熵方法来检测结构的早期损伤。首先将测量到的响应分解成一组小波分量,计算平均能量熵。将该方法应用于不同裂纹水平下的梁的模拟响应,并与近似熵进行性能比较。结果表明,该方法与现有方法相比具有一致性和可靠性。
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