桥梁气动弹性模型模态参数及颤振导数识别方法研究
发布时间：2019-04-13 10:33
【摘要】：本文归纳总结了桥梁风工程理论的发展历程,介绍了桥梁风洞试验仍然是目前最有效、最可靠的一种大跨度桥梁抗风研究的手段,而桥梁气动弹性模型的模态试验在风洞试验中有着承前继后的作用。本文研究了适合风洞试验(只有输出响应数据无荷载输入数据)的桥梁气弹模型模态参数时域识别方法—Ibrahim时域(ITD)法、特征系统实现(ERA)法和随机子空间(SSI)法。并进一步根据全桥气动弹性模型的实测复模态参数对其主梁断面的颤振导数识别做了可行性分析和深入的研究。归纳本文的主要研究内容和成果如下： 1.回顾了桥梁风工程理论的发展历程和风洞试验技术的发展现状,说明了模态参数在桥梁抗风中的重要性及简单介绍了现有模态参数识别的主要方法。 2.对非接触式3D位移测量仪从精度、工作原理和工作环境等方面做了全面的说明。研究了该仪器用于桥梁气弹模型模态识别试验的优势和操作要点。对该仪器测得数据的预处理方法进行了深入的研究,其中包括：数字滤波器的设计、非平稳响应的EMD分解重构和随机减量技术的原理及减量效果。 3.重点研究了适合风洞中风环境的气弹模型模态时域识别算法：ITD法、ERA法和SSI法。对三种算法进行改进使其计算效率和精度提高,并分别使用MATLAB(?)语言编程实现其模态参数的自动识别。利用简单的数值仿真算例检验编程的正确性与算法的可靠性。对不同算法的性能进行了深入的研究,包括：抗噪能力、误差分析、使用范围和算法缺陷等方面。就阻尼识别结果的不稳定性本文提出了使用稳定和谱系聚类相结合的方法。 4.以马普托大桥全桥气弹模型模态识别试验为工程背景,详细介绍了模态识别的步骤。使用模态识别算法(ITD、ERA和SSI)对其模态参数进行自动识别,得到了该桥气弹模型的频率、阻尼及振型系数的识别结果并与理论值对比分析。最后就全桥气弹模型模态参数识别的误差来源进行了分析。 5.重点研究了模态参数识别方法在全桥气弹模型主梁断面颤振导数识别方面的应用,以理想平板断面为例通过自由衰减响应仿真分析和随机风荷载响应仿真分析证明了：使用模态参数识别的方法(ERA和SSI)进行气弹模型主梁颤振导数识别的思路是可行的。
[Abstract]:In this paper, the development of bridge wind engineering theory is summarized, and the wind tunnel test of bridge is still the most effective and reliable method to study the wind resistance of long-span bridges. The modal test of bridge Aeroelastic model plays an important role in wind tunnel test. In this paper, Ibrahim time domain (ITD) method, (ERA) method and random subspace (SSI) method for modal parameters identification of bridge Aeroelastic model are studied, which are suitable for wind tunnel test (only output response data and no load input data). According to the measured complex modal parameters of the Aeroelastic model of the whole bridge, the feasibility analysis and in-depth study on the identification of flutter derivatives of the main beam section of the bridge are carried out. The main contents and achievements of this paper are summarized as follows: 1. The development history of bridge wind engineering theory and the development status of wind tunnel test technology are reviewed. The importance of modal parameters in wind resistance of bridges is explained and the main methods of modal parameter identification are briefly introduced. 2. In this paper, the accuracy, working principle and working environment of the non-contact 3D displacement measuring instrument are described in an all-round way. The advantages and operation essentials of the instrument used in modal identification test of Aeroelastic model of bridge are studied. In this paper, the preprocessing method of the measured data is deeply studied, including the design of digital filter, the principle and effect of EMD decomposition and reconstruction of non-stationary response and random decrement technique. 3. The time domain identification algorithms of Aeroelastic model suitable for wind tunnel apoplexy are studied, including ITD method, ERA method and SSI method. The efficiency and accuracy of the three algorithms are improved, and the MATLAB (?) The automatic identification of modal parameters is realized by language programming. A simple numerical simulation example is used to verify the correctness of the program and the reliability of the algorithm. The performance of different algorithms is deeply studied, including anti-noise ability, error analysis, application scope and algorithm defects. In this paper, a method of combining stability with spectral clustering is proposed for the instability of damping identification results. 4. Taking the Aeroelastic model modal identification test of Maputo Bridge as the engineering background, the steps of modal identification are introduced in detail. Modal identification algorithms (ITD,ERA and SSI) are used to automatically identify the modal parameters of the bridge. The identification results of the Aeroelastic model of the bridge are obtained and compared with the theoretical values. Finally, the error source of modal parameter identification of Aeroelastic model of full bridge is analyzed. 5. The application of modal parameter identification method to the flutter derivative identification of the main beam section of the Aeroelastic model of the whole bridge is studied in detail. Taking the ideal plate section as an example, it is proved that the method of modal parameter identification (ERA and SSI) is feasible to identify the flutter derivative of the main beam of Aeroelastic model through the simulation analysis of free attenuation response and random wind load response.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U441.3
本文编号：2457479
[Abstract]:In this paper, the development of bridge wind engineering theory is summarized, and the wind tunnel test of bridge is still the most effective and reliable method to study the wind resistance of long-span bridges. The modal test of bridge Aeroelastic model plays an important role in wind tunnel test. In this paper, Ibrahim time domain (ITD) method, (ERA) method and random subspace (SSI) method for modal parameters identification of bridge Aeroelastic model are studied, which are suitable for wind tunnel test (only output response data and no load input data). According to the measured complex modal parameters of the Aeroelastic model of the whole bridge, the feasibility analysis and in-depth study on the identification of flutter derivatives of the main beam section of the bridge are carried out. The main contents and achievements of this paper are summarized as follows: 1. The development history of bridge wind engineering theory and the development status of wind tunnel test technology are reviewed. The importance of modal parameters in wind resistance of bridges is explained and the main methods of modal parameter identification are briefly introduced. 2. In this paper, the accuracy, working principle and working environment of the non-contact 3D displacement measuring instrument are described in an all-round way. The advantages and operation essentials of the instrument used in modal identification test of Aeroelastic model of bridge are studied. In this paper, the preprocessing method of the measured data is deeply studied, including the design of digital filter, the principle and effect of EMD decomposition and reconstruction of non-stationary response and random decrement technique. 3. The time domain identification algorithms of Aeroelastic model suitable for wind tunnel apoplexy are studied, including ITD method, ERA method and SSI method. The efficiency and accuracy of the three algorithms are improved, and the MATLAB (?) The automatic identification of modal parameters is realized by language programming. A simple numerical simulation example is used to verify the correctness of the program and the reliability of the algorithm. The performance of different algorithms is deeply studied, including anti-noise ability, error analysis, application scope and algorithm defects. In this paper, a method of combining stability with spectral clustering is proposed for the instability of damping identification results. 4. Taking the Aeroelastic model modal identification test of Maputo Bridge as the engineering background, the steps of modal identification are introduced in detail. Modal identification algorithms (ITD,ERA and SSI) are used to automatically identify the modal parameters of the bridge. The identification results of the Aeroelastic model of the bridge are obtained and compared with the theoretical values. Finally, the error source of modal parameter identification of Aeroelastic model of full bridge is analyzed. 5. The application of modal parameter identification method to the flutter derivative identification of the main beam section of the Aeroelastic model of the whole bridge is studied in detail. Taking the ideal plate section as an example, it is proved that the method of modal parameter identification (ERA and SSI) is feasible to identify the flutter derivative of the main beam of Aeroelastic model through the simulation analysis of free attenuation response and random wind load response.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U441.3
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