基于动态缩聚的残余力向量法损伤识别研究
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长沙理工大学土木工程学院,湖南长沙 410114

作者简介:

刘婉如(2000—),女,硕士研究生,从事结构健康监测方面的研究。

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TU311.4

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Research on damage identification based on residual force vector method of dynamic condensation
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College of Civil Engineering, Changsha University of Science & Technology, Changsha 410114 , Hunan, China

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    摘要:

    针对复杂结构损伤识别中单元和节点数量众多、难以检测的问题,本文提出一种基于动态缩聚的残余力向量方法。该方法通过保留结构的有效自由度进行缩聚,并对前几阶残余力向量的绝对值求和,以实现损伤定位。建立简单的悬臂梁结构和空间桁架结构有限元模型,设置多种损伤工况,模拟并识别结构损伤。数值结果表明:以提出的基于动态缩聚的残余力向量作为识别指标,对结构损伤具有较高的敏感性。仅需结构的前几阶模态信息,即可快速准确地识别出结构损伤,为大型复杂结构的损伤识别提供了一种新方法。

    Abstract:

    Aiming at the problem of large number of units and nodes in the identification of damage in complex structures, a residual force vector method based on dynamic condensation is proposed. The method condenses by preserving the effective degrees of freedom of the structure and sums the absolute values of the residual force vectors of the previous structure to achieve damage localization. A simple finite element model of cantilever beam structure and space truss structure is established, and a variety of damage conditions are set to simulate and identify structural damage. The numerical results show that the proposed residual force vector based on dynamic condensation is used as the identification index, which has a high sensitivity to structural damage. Only the first few modal information of the structure is needed to quickly and accurately identify structural damage, which provides a new method for damage identification of large and complex structures.

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刘婉如,任宜春.基于动态缩聚的残余力向量法损伤识别研究[J].工程建设,2025,57(8):20-25

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  • 收稿日期:2024-09-26
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  • 在线发布日期: 2025-11-27
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