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桥梁结构在逐渐使用之后会由于多种不同的因素而发生部分结构性能的退化,尤其是对于比较关键的交通线的桥梁,现在急需做的是去了解以及评估这桥梁结构的具体损伤情况,并且探索有效的安全决策,而这个过程也就是被称之为桥梁结构健康智能化监测或者说是桥梁结构损伤智能化识别。在最近的三十年,不管是土木还是机械工程界的这些学者都在探索可以有效用于结构探伤评估的方案。这里的一个基本思路就是能够利用探究改变结构动力特征,从而实现桥梁结构损伤的智能化识别以及具体的量化评估效果。本课题中在对探究振动的桥梁结构的智能化损伤识别方案具体使用到的关键理论基础上,着重探究了桥梁结构模型修正的损伤识别方法,还有动力指纹法并且还实现改进完善了三种基于振动桥梁结构的损伤识别方法,且利用各种不一样的综合算例完成了最后的验证。
After the gradual use of the bridge structure, the structural performance will be degraded due to many different factors. Especially for the bridges of the more critical traffic lines, what is urgently needed is to understand and evaluate the specific damage of the bridge structure, and Explore effective safety decisions, and this process is also known as intelligent monitoring of bridge health or intelligent identification of structural damage to the bridge. In the last three decades, these scholars, both civil and mechanical engineering, are exploring solutions that can be effectively applied to structural flaw detection. One of the basic ideas here is to be able to exploit the exploration to change the dynamic characteristics of the structure so as to realize the intelligent identification of the bridge structural damage as well as the specific quantitative assessment results. Based on the key theory used in intelligent damage identification scheme of bridge structure to investigate vibration, the paper focuses on the damage identification method of bridge structure model modification, as well as dynamic fingerprinting method and also improves and perfects three Based on the damage identification method of vibrating bridge structure, the final verification is completed by using a variety of different synthesis examples.