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浅埋地下人防结构损伤诊断 被引量:1

Damage Detection of Shallowly Buried Civil Air-defense Engineering Structures
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摘要 随着人防工程建设规模的扩大与发展,对人防工程结构的损伤诊断及其安全性评价已成为亟待解决的重要问题。文章提出一种适用于浅埋地下人防结构的损伤诊断方法,取工程界普遍关注的结构前三阶振型变化率绝对值之和作为损伤诊断标识量,以某人防工程结构为算例,计算分析表明该标识量不仅对结构损伤位置和损伤程度敏感,而且在两位置损伤状态下结构的损伤位置和损伤程度是结构只存在一处损伤时结构的损伤位置以及损伤程度的叠加,从而方便的解决地下人防结构的损伤诊断问题。 With the development of civil air-defense engineering structures, their damage diagnosis and safety evaluation have become important problems needed to be solved urgently. A new method to detect the damage of the shallowly buried civil air-defense engineering structures is proposed in this paper. In this method, the sum of absolute values of the variation rates of the first three modes is selected as a parameter for damage detection. An actual civil air-defense engineering structure is employed as an example. It is shown that this parameter for damage detection is not only sensitive to the location and extent of the damage, but also obeys the superposition law when there are two damages. Thus, damage detection of the civil air-defense engineering structures becomes convenient.
出处 《噪声与振动控制》 CSCD 北大核心 2010年第2期99-102,166,共5页 Noise and Vibration Control
基金 陕西省自然科学基金资助(SJ08E210)
关键词 振动与波 人防结构 损伤诊断 振型变化率 损伤诊断标识量 vibration and wave civil air-defense engineering structure damage diagnosis variation rate of the mode parameter for damage detection
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参考文献3

  • 1Wu D,Law S S.Damage localization in plate structuress from uniform load surface[J].Journal of sound and Vibration,2004,276:227-224.
  • 2董聪.基于动力特性的结构损伤定位方法[J].力学与实践,1999,21(4):62-63. 被引量:27
  • 3Jong Jae Lee,Jong Won Lee.Neural networks-based damage detection for bridges considering errors in baseline finite element models[J].Journal of Sound and Vibration,280(2005)555-578.

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