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Damage Identification Investigation of Retaining Wall Structures Based on a Virtual Impulse Response Function

机译:基于虚拟脉冲响应函数的挡土墙结构损伤识别研究

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摘要

To eliminate the influence of excitation on the wavelet packet frequency band energy spectrum (ES), ES is acquired via wavelet packet decomposition of a virtual impulse response function. Based on ES, a character frequency band vector spectrum and damage eigenvector spectrum (DES) are created. Additionally, two damage identification indexes, the energy ratio standard deviation and energy ratio variation coefficient, are proposed. Based on the damage index, an updated damage identification method for retaining wall structures is advanced. The damage state of a retaining wall can be diagnosed through DES, the damage location can be detected through the damage index trend surface, and the damage intensity can be identified by establishing a quantitative relationship between the damage intensity and damage index. To verify the feasibility and validity of this damage identification method, a vibration test on a pile plate retaining wall is performed. Test results demonstrate that it can distinguish whether the retaining wall is damaged, and the location of partial damage within the retaining wall can be easily detected; in addition, the damage intensity of the wall can also be identified validly. Consequently, this damage identification theory and method may be used to identify damage within retaining wall structures.
机译:为了消除激励对小波包频带能量谱(ES)的影响,通过虚拟脉冲响应函数的小波包分解来获取ES。基于ES,创建了特征频带矢量频谱和损伤特征向量频谱(DES)。此外,提出了两种损伤识别指标,能量比标准偏差和能量比变化系数。基于损伤指标,提出了一种更新的挡土墙结构损伤识别方法。可以通过DES诊断挡土墙的损伤状态,可以通过损伤指数趋势面检测出损伤位置,并通过建立损伤强度与损伤指数之间的定量关系来确定损伤强度。为了验证这种损伤识别方法的可行性和有效性,对桩板挡土墙进行了振动测试。测试结果表明,它可以区分挡土墙是否损坏,并且可以容易地检测出挡土墙内部分损坏的位置;另外,还可以有效地识别墙的破坏强度。因此,这种损伤识别理论和方法可以用于识别挡土墙结构内的损伤。

著录项

  • 来源
    《Shock and vibration》 |2016年第6期|1346939.1-1346939.13|共13页
  • 作者

    Xu Qian;

  • 作者单位

    Shaanxi Univ Technol, Sch Civil Engn & Architecture, Hanzhong 723000, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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