本文關(guān)鍵詞： 中小橋梁 監(jiān)測 評估 應(yīng)用　出處：《重慶交通大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著我國交通事業(yè)的飛速發(fā)展,橋梁數(shù)量日益增多,其中中小橋數(shù)量占到橋梁總數(shù)的90%以上,在公路運輸系統(tǒng)中發(fā)揮著重要作用,其運營安全對于保障交通運輸通暢、促進(jìn)社會經(jīng)濟(jì)發(fā)展具有重要意義。目前,中小橋主要采用人工檢查的方式來檢測和評估其運營過程中的技術(shù)狀況,這種方式的局限性使得橋梁安全得不到很好的保障,而傳統(tǒng)的橋梁健康監(jiān)測系統(tǒng)費用昂貴,難以在中小橋梁上推廣應(yīng)用。故本文在傳統(tǒng)橋梁監(jiān)測技術(shù)基礎(chǔ)上,引入云計算技術(shù),利用云計算技術(shù)在IT資源成本和效率等方面的優(yōu)勢,降低中小橋梁監(jiān)測系統(tǒng)的建設(shè)成本,提升系統(tǒng)的部署效率,使得中小橋運營監(jiān)測得以實現(xiàn)。論文具體研究內(nèi)容如下:①基于云平臺的中小橋梁群監(jiān)測系統(tǒng)實現(xiàn)。主要對系統(tǒng)架構(gòu)方案和系統(tǒng)軟件進(jìn)行簡介。其中基于云平臺的系統(tǒng)架構(gòu)方案是采用虛擬機替代傳統(tǒng)的物理服務(wù)器,具有硬件成本低、軟件易于開發(fā)、系統(tǒng)部署效率高、系統(tǒng)運行穩(wěn)定性好等優(yōu)點,這些優(yōu)點使得中小橋梁運營監(jiān)測得以實現(xiàn);在此基礎(chǔ)上簡介了系統(tǒng)軟件的組成及其各自的功能。②基于靜態(tài)有限監(jiān)測數(shù)據(jù)的中小橋梁運營狀況評估技術(shù)。首先從理論上介紹了裂縫的分類、成因和一般形成位置,然后選取300余座各類型的中小橋梁,對其裂縫位置和裂縫數(shù)量進(jìn)行統(tǒng)計,找出最易發(fā)生裂縫病害的橋梁類型及其部位,最后提出了基于多數(shù)據(jù)源的中小橋梁結(jié)構(gòu)安全評估技術(shù)。③傳感器對結(jié)構(gòu)響應(yīng)敏感性分析。以實橋新村中橋為對象,采用有限元模擬的方式,研究橋梁結(jié)構(gòu)在恒載作用下,主梁之間的橫向聯(lián)系發(fā)生變化或主梁自身承載力下降時,引起的各片主梁之間的撓度、應(yīng)變差值變化情況以及主梁自身撓度、應(yīng)變變化情況,最后通過現(xiàn)有傳感器的識別精度來判斷橋梁的此類損傷是否能被監(jiān)測系統(tǒng)識別。④數(shù)據(jù)異常和溫度效應(yīng)分析。主要對新村中橋2014年6月至11月的應(yīng)變監(jiān)測數(shù)據(jù)進(jìn)行了異常分析和溫度影響分析,監(jiān)測數(shù)據(jù)異常分析的主要內(nèi)容有預(yù)警值設(shè)置、大于200με較大應(yīng)變統(tǒng)計和交通量調(diào)查;溫度影響分析首先是判斷溫度與應(yīng)變的關(guān)系,再指出傳統(tǒng)儀器溫度修正的不足,最后提出了一種基于最小二乘法的新的修正方法。
[Abstract]:With the rapid development of transportation in our country, the number of bridges is increasing day by day, in which the number of medium and small bridges accounts for more than 90% of the total number of bridges, which plays an important role in the highway transportation system. It is of great significance to promote the social and economic development. At present, the medium and small bridges mainly use manual inspection to detect and evaluate the technical situation in their operation, and the limitations of this way make the bridge safety not well guaranteed. The traditional bridge health monitoring system is expensive and difficult to be popularized on medium and small bridges, so this paper introduces cloud computing technology on the basis of traditional bridge monitoring technology, and makes use of cloud computing technology in IT resource cost and efficiency. Reduce the construction cost of small and medium-sized bridge monitoring system, improve the system deployment efficiency, The main contents of this paper are as follows: 1. Implementation of small and medium bridge group monitoring system based on cloud platform. The system architecture scheme and system software are introduced. The architecture of the system is to replace the traditional physical server with virtual machine. It has the advantages of low hardware cost, easy development of software, high efficiency of system deployment, good stability of system operation and so on. On this basis, the composition of the system software and its respective functions are briefly introduced. 2. Based on the static limited monitoring data, the evaluation technology of the operation condition of small and medium-sized bridges is introduced. Firstly, the classification, cause of formation and general position of the cracks are introduced theoretically. Then, more than 300 small and medium-sized bridges of various types are selected, and the crack position and the number of cracks are counted to find out the bridge types and their parts that are most prone to crack diseases. Finally, a multi-data source based safety assessment technique for small and medium sized bridges is proposed. The sensitivity of the sensor to the structural response is analyzed. The bridge structure under dead load is studied by finite element simulation with the real bridge Xincun bridge as an object. When the transverse connection between the main beams changes or the bearing capacity of the main beams decreases, the deflection, the strain difference between the main beams and the deflection and strain changes of the main beams are changed. Finally, the identification accuracy of the existing sensors is used to determine whether the bridge damage can be identified by the monitoring system. The strain monitoring data of Xincuanqiao from June 2014 to November are analyzed. Anomaly analysis and temperature impact analysis, The main contents of abnormal analysis of monitoring data include the setting of early warning value, the statistic of large strain greater than 200 渭 蔚 and the investigation of traffic volume, the analysis of temperature effect is to judge the relationship between temperature and strain, and the deficiency of temperature correction of traditional instrument is pointed out. Finally, a new correction method based on least square method is proposed.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U446

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本文編號：1495596