以信州水利枢纽泄洪闸闸墩为工程背景，通过基于泄流激励下闸墩动力特性测试，得到多个测点的振动信号。针对单个测点信号信噪比不高、频率成分不全的缺点，基于相关函数融合算法，将多个测点的振动信号融合为一个能够准确、全面反映结构整体振动特性的振动信号，实现多测点振动信号的数据融合。通过对融合前后信号频率识别结果对比表明基于相关函数的多测点融合算法具有其可行性，能够很好地挖掘出淹没在噪声中的结构有效频率，为识别结构的模态参数提供了重要依据。
Abstract
With the sluice pier of Xinzhou hydraulic project as an engineering background, the vibration signals of several observation points were acquired through pier dynamic characteristics test. In light of low signaltonoise ratio and incomplete frequency component of a single measurement point, the vibration signals from several measuring points were fused into one signal through correlation function fusion algorithm. This signal could reflect the vibration signal of the overall structure accurately and fully. By comparing the results of signal frequency identification before and after the fusion, we conclude that the multipoint fusion algorithm based on correlation function is feasible. Effective frequency of the structure submerged in noise could be excavated very well. Finally, It povides important basis for identifying modal parameters of the structure.
关键词
闸墩 /
多测点 /
信息融合 /
相关函数 /
振动响应
Key words
sluice pier /
multiple observation points /
information fusion /
correlation function /
vibration response
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参考文献
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基金
国家自然科学基金项目(51269019,51469015);广东省水利科技剑新基金上(2014-08)
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