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Multi-source information fusion applied to structural damage diagnosis

机译:多源信息融合在结构损伤诊断中的应用

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摘要

This study aims to import multi-source information fusion (MSIF) into structural damage diagnosis to improve its validity. Two structural damage identification methods based on MSIF are put forward, one of which is to fuse two or more structural damage detection methods by MSIF and another of which is the improved modal strain energy method by multi-mode information processing based on MSIF. Through a concrete plate experiment it is proved that, if two methods are integrated by character-level information fusion, structural initial damages can be more accurately identified than by a single method. In a simulation of a concrete box beam bridge, it is indicated that the improved modal strain energy method has a nice sensitivity to structural initial damages and a favorable robusticity to noise. These two structural damage diagnosis methods based on MSIF have good effects on structural damage identification and good practicability to actual structures.
机译:本研究旨在将多源信息融合(MSIF)引入结构损伤诊断中,以提高其有效性。提出了两种基于MSIF的结构损伤识别方法,一种是融合两种以上的MSIF结构损伤检测方法,另一种是基于MSIF的多模态信息处理的改进模态应变能方法。通过混凝土板实验证明,如果通过字符级信息融合将两种方法集成在一起,则与使用单个方法相比,可以更准确地识别结构初始损坏。在混凝土箱梁桥的仿真中,表明改进的模态应变能方法对结构初始损伤具有良好的敏感性,并且对噪声具有良好的鲁棒性。这两种基于MSIF的结构损伤诊断方法对结构损伤识别有很好的效果,对实际结构具有良好的实用性。

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