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输入信息不完备情况下的混和修正识别法
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发表时间: 2007-01-01
发表刊物: 振动与冲击
期号: 5
页面范围: 123-125,129
ISSN号: 1000-3835
摘要: Structural identification with incomplete input information is reviewed, and the multiple inversion method based on the least square method is further studied. Based on the statistical average approach, a new weighted average approach for the multiple inversion method is put forwarded. Further more, for structures with more than one correction condition, combined with the compensation approach, a new approach called mixed correction identification method is proposed. At last, as numerical example, a truss bridge with unknown ground motion is identified and the results show the effectiveness of the proposed method.
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陈健云

教授   博士生导师   硕士生导师

性别: 男

毕业院校:大连理工大学

学位: 博士

所在单位:水利工程系

学科:水工结构工程. 防灾减灾工程及防护工程. 结构工程. 工程管理

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