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机构地区:[1]东南大学混凝土及预应力混凝土结构教育部重点实验室,江苏南京210096
出 处:《工程力学》2010年第8期72-76,共5页Engineering Mechanics
基 金:国家杰出青年基金项目(50725828);国家自然科学基金项目(50808041);教育部博士点基金新教师项目(200802861011)
摘 要:为提高环境激励下结构损伤预警的准确性,将信息融合技术引入到基于小波包分析的结构损伤预警方法中。采用D-S证据理论对环境激励下识别的小波包能量谱进行多源信息融合得到改进的小波包能量谱,并进而计算结构的损伤预警指标。ASCE Benchmark结构损伤试验结果表明:1)环境激励下基于小波包分析和信息融合的结构损伤预警方法具有良好的损伤预警能力,可以准确地判定结构初期损伤的发生;2)D-S证据理论能够对环境激励下的小波包能量谱识别样本抽取有效信息,获得准确性和鲁棒性更好的识别结果,较适合于工程结构的实时损伤预警。In order to improve the robustness to ambient vibration tests, information fusion technique is imported into a structural damage alarming method using wavelet packet analysis. The wavelet packet energy spectrum identified under ambient vibration tests are fused using D-S evidence theory to obtain improved wavelet packet energy spectrum, on the basis of which structural damage indices are calculated. The experiment results of ASCE Benchmark structure reveal that: 1) the structural damage alarming method using wavelet packet analysis and information fusion technique have preferable damage alarming capacity and can effectively detect the structural initial damage using ambient vibration tests; 2) The effective information can be extracted from the testing samples of wavelet packet energy spectrum under ambient vibration tests using D-S evidence theory and hence more robust identification results can be obtained. The proposed method is well suitable for real-time damage alarming of engineering structures.
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