發(fā)布時間：2019-04-13 10:33

【摘要】：本文歸納總結(jié)了橋梁風(fēng)工程理論的發(fā)展歷程,介紹了橋梁風(fēng)洞試驗(yàn)仍然是目前最有效、最可靠的一種大跨度橋梁抗風(fēng)研究的手段,而橋梁氣動彈性模型的模態(tài)試驗(yàn)在風(fēng)洞試驗(yàn)中有著承前繼后的作用。本文研究了適合風(fēng)洞試驗(yàn)(只有輸出響應(yīng)數(shù)據(jù)無荷載輸入數(shù)據(jù))的橋梁氣彈模型模態(tài)參數(shù)時域識別方法—Ibrahim時域(ITD)法、特征系統(tǒng)實(shí)現(xiàn)(ERA)法和隨機(jī)子空間(SSI)法。并進(jìn)一步根據(jù)全橋氣動彈性模型的實(shí)測復(fù)模態(tài)參數(shù)對其主梁斷面的顫振導(dǎo)數(shù)識別做了可行性分析和深入的研究。歸納本文的主要研究內(nèi)容和成果如下： 1.回顧了橋梁風(fēng)工程理論的發(fā)展歷程和風(fēng)洞試驗(yàn)技術(shù)的發(fā)展現(xiàn)狀,說明了模態(tài)參數(shù)在橋梁抗風(fēng)中的重要性及簡單介紹了現(xiàn)有模態(tài)參數(shù)識別的主要方法。 2.對非接觸式3D位移測量儀從精度、工作原理和工作環(huán)境等方面做了全面的說明。研究了該儀器用于橋梁氣彈模型模態(tài)識別試驗(yàn)的優(yōu)勢和操作要點(diǎn)。對該儀器測得數(shù)據(jù)的預(yù)處理方法進(jìn)行了深入的研究,其中包括：數(shù)字濾波器的設(shè)計(jì)、非平穩(wěn)響應(yīng)的EMD分解重構(gòu)和隨機(jī)減量技術(shù)的原理及減量效果。 3.重點(diǎn)研究了適合風(fēng)洞中風(fēng)環(huán)境的氣彈模型模態(tài)時域識別算法：ITD法、ERA法和SSI法。對三種算法進(jìn)行改進(jìn)使其計(jì)算效率和精度提高,并分別使用MATLAB(?)語言編程實(shí)現(xiàn)其模態(tài)參數(shù)的自動識別。利用簡單的數(shù)值仿真算例檢驗(yàn)編程的正確性與算法的可靠性。對不同算法的性能進(jìn)行了深入的研究,包括：抗噪能力、誤差分析、使用范圍和算法缺陷等方面。就阻尼識別結(jié)果的不穩(wěn)定性本文提出了使用穩(wěn)定和譜系聚類相結(jié)合的方法。 4.以馬普托大橋全橋氣彈模型模態(tài)識別試驗(yàn)為工程背景,詳細(xì)介紹了模態(tài)識別的步驟。使用模態(tài)識別算法(ITD、ERA和SSI)對其模態(tài)參數(shù)進(jìn)行自動識別,得到了該橋氣彈模型的頻率、阻尼及振型系數(shù)的識別結(jié)果并與理論值對比分析。最后就全橋氣彈模型模態(tài)參數(shù)識別的誤差來源進(jìn)行了分析。 5.重點(diǎn)研究了模態(tài)參數(shù)識別方法在全橋氣彈模型主梁斷面顫振導(dǎo)數(shù)識別方面的應(yīng)用,以理想平板斷面為例通過自由衰減響應(yīng)仿真分析和隨機(jī)風(fēng)荷載響應(yīng)仿真分析證明了：使用模態(tài)參數(shù)識別的方法(ERA和SSI)進(jìn)行氣彈模型主梁顫振導(dǎo)數(shù)識別的思路是可行的。
[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.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U441.3

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