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基于脉冲响应函数和虚拟脉冲响应函数的挡土墙结构损伤诊断

Damage diagnosis of retaining wall structures based on impulse response function and virtual impulse response function

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【作者】 徐乾杨超陈建功

【Author】 XU Qian;YANG Chao;CHEN Jiangong;School of Civil Engineering and Architecture,Shaanxi University of Technology;Key Laboratory of Geological Hazards on Three Gorges Reservoir Area,Ministry of Education,China Three Gorges University;School of Civil Engineering,Chongqing University;

【机构】 陕西理工大学土木工程与建筑学院三峡大学三峡库区地质灾害教育部重点实验室重庆大学土木工程学院

【摘要】 为了诊断挡墙结构的损伤,基于脉冲响应函数及虚拟脉冲响应函数创建损伤特征向量谱、提出损伤识别指标。基于损伤特征向量谱和损伤指标,提出了一种用于挡墙结构的损伤诊断方法。为了验证该损伤诊断方法的可行性和有效性,对某桩板式挡墙进行了脉冲激励和环境激励下的振动测试,通过损伤特征向量谱和损伤指标诊断其损伤。试验结果表明:基于损伤特征向量谱可敏感判别挡墙损伤状态,通过损伤指标走势曲面图可有效诊断挡墙损伤位置,通过损伤指标与损伤程度间的定量关系可定量识别挡墙损伤程度。受激励影响,脉冲激励下基于脉冲响应函数的损伤指标稳定性相对较差,而环境激励下基于虚拟脉冲响应函数的损伤指标稳定性相对较强。

【Abstract】 To diagnose damages within retaining wall structures,based on impulse response function and virtual impulse response function,the damage feature vector spectrum was created and a damage identification index was proposed. Based on the damage feature vector spectrum and damage index,a damage diagnosis method for retaining wall structures was proposed. In order to verify the feasibility and validity of this damage diagnosis method,vibration tests on a pile plate retaining wall were performed under impulse excitation and ambient excitation,the damages within the wall were diagnosed via the damage feature vector spectrum and damage index. The tests results show that the damage state of the wall can be sensitively distinguished by the damage feature vector spectrum,damage location of the wall can be validly diagnosed through the damage index trend surface,and damage intensity of the wall can be quantitatively identified through the quantitative relationship between the damage index and damage intensity.Due to the influence of excitations,the stability of the damage index which is based on the impulse response function is poor relatively under impulse excitation,while the stability of the damage index which is based on the virtual impulse response function is much better under ambient excitation.

【基金】 国家自然科学基金(41602301);陕西省教育厅专项科学研究计划(17JK0157);陕西理工大学人才启动项目(SLGQD2017-4)
  • 【文献出处】 中山大学学报(自然科学版) ,Acta Scientiarum Naturalium Universitatis Sunyatseni , 编辑部邮箱 ,2018年03期
  • 【分类号】TU476.4
  • 【被引频次】1
  • 【下载频次】118
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