基于模态参数小波变换的铁路桥墩损伤识别方法及试验研究

发布时间：2018-01-11 05:09

本文关键词：基于模态参数小波变换的铁路桥墩损伤识别方法及试验研究　出处：《中国铁道科学研究院》2014年硕士论文　论文类型：学位论文

【摘要】：桥墩作为桥梁的重要支撑结构，其状态的好坏将直接影响桥梁整体结构的稳定和安全。因此，对桥墩结构状况进行有效的检测，实现损伤的有效识别诊断十分必要。目前铁路桥墩健全度的检定评估主要依据频率和振幅两个模态参数指标，，但二者均不能准确的实现桥墩的损伤识别。小波分析具有良好的局部分析功能，可以发现微小的信号不连续性，因此如能将小波分析理论应用于铁路桥墩的损伤识别，将有着重要的理论意义和工程应用价值。论文阐述了小波奇异性检测原理和基于模态参数的损伤识别方法；分析了桥墩结构性病害的损伤识别技术；针对铁路桥墩，提出了基于模态参数小波变换的损伤识别方法。以铁路桥梁实体柱式墩为例，利用有限元数值模拟对该损伤识别方法进行了验证；从理论上分析了测点数量、地基及基础病害对结构性损伤识别的影响，对损伤识别噪声和小波消噪进行了研究。以Matlab为平台，编制了基于模态参数小波变换的铁路桥墩结构损伤识别程序。论文主要针对横桥向裂缝、空洞等结构病害，通过桥墩模型试验验证了基于模态参数小波变换的铁路桥墩损伤识别方法的可行性。最后在实桥上对论文提出的损伤识别方法进行了试探性应用研究。该方法对实际工程应用有一定的参考价值。
[Abstract]:As an important supporting structure of bridge, the state of piers will directly affect the stability and safety of the whole bridge structure. It is necessary to effectively identify and diagnose the damage. At present, the verification and evaluation of the railway pier's health are mainly based on the two modal parameters of frequency and amplitude. But neither of them can accurately identify the damage of bridge piers. Wavelet analysis has a good function of local analysis, can find the small signal discontinuity. Therefore, if wavelet analysis theory can be applied to the damage identification of railway piers, it will have important theoretical significance and engineering application value. In this paper, the principle of wavelet singularity detection and the damage identification method based on modal parameters are described. The damage identification technology of pier structural diseases is analyzed. A damage identification method based on modal parameter wavelet transform is proposed for railway piers. Taking the solid column pier of railway bridge as an example, the damage identification method is verified by finite element numerical simulation. In this paper, the effects of the number of measured points, the disease of foundation and foundation on structural damage identification are analyzed theoretically, and the noise of damage identification and wavelet de-noising are studied. Matlab is used as the platform. The damage identification program of railway pier structure based on modal parameter wavelet transform is developed. This paper mainly aims at structural diseases such as transverse bridge cracks, cavities and so on. The feasibility of the damage identification method of railway pier based on wavelet transform of modal parameters is verified by the model test of bridge pier. Finally, the damage identification method proposed in this paper is studied tentatively on the real bridge. The practical engineering application has certain reference value.
【学位授予单位】：中国铁道科学研究院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U446

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