本文選題：結(jié)構(gòu)健康監(jiān)測　切入點：預(yù)應(yīng)力混凝土斜拉橋　出處：《東南大學(xué)》2015年碩士論文

【摘要】：橋梁結(jié)構(gòu)健康監(jiān)測已成為橋梁狀態(tài)監(jiān)測與安全評估的重要手段。本文以長深高速(G25)宿淮鹽段淮安大橋健康監(jiān)測為背景,嘗試建立預(yù)應(yīng)力混凝土斜拉橋的安全評估、安全預(yù)警和安全預(yù)后方法,主要工作如下：1.結(jié)合淮安大橋的特點,進行淮安大橋健康監(jiān)測系統(tǒng)整體設(shè)計和實橋監(jiān)測系統(tǒng)的安裝調(diào)試工作,并對健康監(jiān)測測試數(shù)據(jù)進行初步分析。2. 基于環(huán)境振動測試結(jié)果對淮安大橋有限元模型進行了模型修正,建立能夠反映淮安大橋?qū)嶋H狀態(tài)的基準(zhǔn)有限元模型,并進行靜動力計算為淮安大橋安全評估和預(yù)警建立參數(shù)安全閾值。3. 基于不確定層次分析法、群判斷、集值統(tǒng)計原理、變權(quán)綜合理論以及熵值法理論建立淮安大橋安全性評估綜合方法,并進行實橋運營狀態(tài)的安全評估。4. 聯(lián)合基準(zhǔn)有限元模型和支持向量機模型并基于淮安大橋健康監(jiān)測系統(tǒng)實測數(shù)據(jù),構(gòu)建淮安大橋安全預(yù)警體系。5. 采用改進后神經(jīng)網(wǎng)絡(luò)的組合模型,并將其運用到混合高斯粒子濾波器的算法中,建立預(yù)后的動態(tài)模型,對淮安大橋進行安全預(yù)后。得到的主要結(jié)論如下：(1)基于淮安大橋基準(zhǔn)有限元模型及相關(guān)規(guī)范,建立了淮安大橋結(jié)構(gòu)安全評估限值及安全預(yù)警閩值,彌補了現(xiàn)行規(guī)范對在線監(jiān)測項目限值規(guī)定之不足。(2)考慮評估過程中的模糊性和不確定性等,建立了淮安大橋結(jié)構(gòu)安全綜合評估方法。近六個月的安全評估結(jié)果表明其綜合評估得分為84.0分,淮安大橋近期安全狀況處于二類狀態(tài)(較好水平)。(3)建立了淮安大橋結(jié)構(gòu)安全藍色、黃色及紅色預(yù)警三級預(yù)警體系,六個月的監(jiān)測數(shù)據(jù)結(jié)果表明,各項在線監(jiān)測項目均有極少量數(shù)據(jù)超出藍色預(yù)警指標(biāo)閾值,無數(shù)據(jù)超出黃色或紅色預(yù)警指標(biāo)閡值,可見淮安大橋近期安全狀況良好。(4)運用混合高斯粒子濾波器來建立參數(shù)動態(tài)預(yù)測模型,并結(jié)合安全評估和安全預(yù)警的方法來建立淮安大橋的安全預(yù)后。結(jié)果表明,模擬預(yù)測值與實測值變化趨勢基本一致,預(yù)測結(jié)果與實測的評估結(jié)果較為吻合,表明該預(yù)后方法可進一步用于大跨度斜拉橋的安全預(yù)后。
[Abstract]:Health monitoring of bridge structure has become an important means of bridge state monitoring and safety assessment. Based on the health monitoring of Huai'an Bridge in Suhuai Salt Section, this paper attempts to establish the safety assessment of prestressed concrete cable-stayed bridge. The main work of the methods of safety early warning and safety prognosis is as follows: 1.According to the characteristics of the Huai'an Bridge, the overall design of the health monitoring system of the Huai'an Bridge and the installation and commissioning of the real bridge monitoring system are carried out. Based on the results of environmental vibration test, the finite element model of Huaian Bridge is modified, and the benchmark finite element model which can reflect the actual state of Huai'an Bridge is established. And the static and dynamic calculation for the Huaian Bridge safety assessment and early warning to establish a parameter safety threshold. 3. Based on the uncertain Analytic hierarchy process (AHP), group judgment, set value statistics principle, The theory of variable weight synthesis and the theory of entropy value method are used to establish a comprehensive method for the safety evaluation of Huaian Bridge. The safety assessment of the actual bridge operation state. 4. Combining the benchmark finite element model and the support vector machine model, and based on the measured data of the Huai'an Bridge Health Monitoring system, The safety early warning system of Huai'an Bridge is constructed. The combination model of improved neural network is adopted and applied to the algorithm of mixed Gao Si particle filter to establish the dynamic model of prognosis. The main conclusions are as follows: (1) based on the benchmark finite element model of Huaian Bridge and the relevant codes, the limit value of structural safety assessment and the threshold value of safety warning for Huaian Bridge are established. It makes up for the deficiency of the limit value of online monitoring project in the current code. (2) considering the ambiguity and uncertainty in the evaluation process, A comprehensive assessment method for structural safety of Huaian Bridge is established. The results of safety assessment in the past six months show that the comprehensive assessment score is 84.0 points. The Huai'an Bridge has recently been in a second-class state of safety (at a good level) and has set up a three-stage early warning system for structural safety of the Huai'an Bridge, namely, blue, yellow and red. The results of the monitoring data for six months show that, A very small number of online monitoring items exceeded the blue early warning threshold, and none exceeded the threshold value of yellow or red warning indicators. It can be seen that Huai'an Bridge is in a good safety condition in the near future.) the hybrid Gao Si particle filter is used to establish the parameter dynamic prediction model, and the safety evaluation and early warning method are combined to establish the safety prognosis of the Huai'an Bridge. The results show that, The predicted values are consistent with the measured values, and the predicted results are in good agreement with the measured ones, which indicates that the method can be further applied to the safe prognosis of long-span cable-stayed bridges.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U446;U448.27

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