基于模型的螺栓松动状态监测方法
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TH113;O327

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国家自然科学基金资助项目(51505398)


Model Based Identification of Bolt Looseness
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    摘要:

    基于现有的模型损伤识别技术,提出了一种两阶段的螺栓状态长期在线识别方法:第1阶段识别螺栓连接中是否存在扭矩降低,设定了基于模态应变能的新损伤指标,并讨论了螺栓松动中非线性的表现;第2阶段识别松动螺栓的残余扭矩,以试验测得的前3阶局部振型,通过灵敏度修正识别螺栓连接中BEAM元的弹性模量,建立了螺栓残余扭矩与BEAM单元弹性模量之间的对应关系;最后,使用两块通过螺栓连接的矩形钢板验证了该方法的有效性。试验结果表明,该方法能够快速识别出扭矩的降低,并识别其残余扭矩值是否已低于安全范围。

    Abstract:

    A new two stages method for on-line identification of bolt state is proposed based on the existing model damage identification technology. The first stage to identify whether there is a torque in bolt connection is reduced, at the same time a new damage index based on modal strain energy is set up, and bolt looseness in the nonlinear performance is discussed. The purpose of the second stage is to identify the residual torque, the equivalent stiffness of bolted connection is identified by a sensitivity-based updating based on the first 3 order modes, and the relationship between the residual torque and the equivalent stiffness is established. Finally, under laboratory conditions, two rectangular steel plates connected by bolts are used as the experimental object, the looseness of the bolts is represented by changing the relative residual stress. The results show that the purposed method can be used to identify the happening of torque reduction, and estimate whether the residual torque value is lower than the limit value.

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  • 在线发布日期: 2019-05-13
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