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Entropy algorithms for detecting incipient damage in high-rise buildings subjected to dynamic vibrations

机译:用于检测经受动态振动的高层建筑物初期损伤的熵算法

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摘要

Civil structures are considered vital elements to the society and economy, but they are susceptible to different kinds of damage during their lifetime. Hence, the development of methodologies capable of assessing the condition of civil structures is of paramount importance. In this work, a new entropy-based methodology for detecting incipient damage in a high-rise building subjected to dynamic vibrations is presented. As different entropy methods have been introduced in the literature, the most representative entropy methods, Shannon entropy, Renyi entropy, approximate entropy, sample entropy, permutation entropy, and dispersion entropy, are investigated for evaluating their performance for damage detection. For performing this task, the vibrational responses measured in the high-rise building to different levels of damage are analyzed.
机译:民用建筑被认为是社会和经济的重要组成部分,但它们在使用寿命中容易受到各种各样的损坏。因此,开发能够评估土木结构状况的方法至关重要。本文提出了一种新的基于熵的高层建筑动力振动早期损伤检测方法。由于文献中引入了不同的熵方法,因此研究了最具代表性的熵方法香农熵、Renyi熵、近似熵、样本熵、置换熵和分散熵,以评估它们在损伤检测中的性能。为了完成这项任务,分析了高层建筑在不同损伤程度下测得的振动响应。

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