本文選題：車載探地雷達　切入點：隧道底部結(jié)構(gòu)　出處：《西南交通大學》2017年碩士論文

【摘要】：隧道底部結(jié)構(gòu)作為隧道結(jié)構(gòu)重要組成部分,隧道底部結(jié)構(gòu)的完整性對隧道的整體穩(wěn)定性以及列車行車的安全有重大影響。隨著鐵路線路運行時間的增長以及線路運輸任務(wù)的增重,多數(shù)運營時間已久的鐵路隧道底部結(jié)構(gòu)存在著道床、基床翻漿冒泥,隧道道床、基床破損,道床下沉等病害,危害著列車行駛的安全。然而,傳統(tǒng)的病害檢測多通過人工巡檢來完成,地表以下的病害和一些隱蔽性病害人工巡檢檢測不到。因此,為滿足對隧道底部結(jié)構(gòu)的健康普查,快速無損的檢測方式變得十分重要。鐵路車載探地雷達檢測系統(tǒng)具有檢測速度快、檢測效率高等優(yōu)點。本文基于鐵路車載探地雷達檢測系統(tǒng)對既有線隧道底部結(jié)構(gòu)進行正演數(shù)值模擬和實際檢測,主要工作如下:1)通過FDTD正演模擬方法對隧道底部結(jié)構(gòu)的層位,以及隧道道床、基床翻漿冒泥;隧道道床、基床破損;隧道整體道床下沉相關(guān)隧道底部病害問題進行了數(shù)值模擬,研究得出:(1)300MHz的空氣耦合天線可清晰分出道砟層、混凝土填充層和仰拱層的層位。(2)300MHz的空氣耦合天線可以檢測到隧道道床、基床的翻漿冒泥;翻漿冒泥的雷達反射圖形表現(xiàn)為一道向上的倒"V"雙曲線;當翻漿冒泥發(fā)生在隧道道床時,雷達發(fā)射圖形更明顯,更易識別。(3)300MHz的空氣耦合天線可以檢測到隧道道床、基床的破損;隧道道床、基床破損的雷達反射圖同相軸混亂,表現(xiàn)為混亂的倒"V"雙曲線;道床的破損比基床的破損更易識別;破損處充填介質(zhì)水時雷達圖像更易識別。(4)使用300MHz的空氣耦合天線模擬時,整體道床下沉的雷達反射圖能夠清晰地反應(yīng)模型的特征。2)基于西-康和陽-安兩條鐵路線的實測數(shù)據(jù),結(jié)合數(shù)值模擬結(jié)果和設(shè)計施工、養(yǎng)護資料,對比研究得出:(1)車載探地雷達檢測時,在整條線上雷達圖譜是連續(xù)的,在隧道進出口處隧道內(nèi)外隧道底部結(jié)構(gòu)的雷達圖譜有明顯的區(qū)別;隧道進出口的位置也是路基下沉多發(fā)地段,雷達圖像可以識別這種不良病害現(xiàn)象。(2)對于仰拱型底部結(jié)構(gòu)的隧道,能夠辨別出道砟層、混凝土填充層和仰拱層的厚度;對于基底型的底部結(jié)構(gòu)隧道,能夠辨別出道砟層和填充層的上表層,可根據(jù)層位特征判別出隧道底部結(jié)構(gòu)的區(qū)段類型;(3)車載探地雷達可拾取隧道道床和基床的翻漿冒泥病害、隧道道床、基床破損病害、整體道床下沉病害,雷達圖像與前述正演模擬結(jié)果基本相似,檢測結(jié)果與鐵路工務(wù)段提供的養(yǎng)護維修資料一致。鐵路車載探地雷達檢測系統(tǒng),可用于運營隧道的隧道底部結(jié)構(gòu)檢測,檢測不影響鐵路的正常行駛,檢測隨度快,檢測結(jié)果好,效率高,可以作為隧道底部結(jié)構(gòu)檢測的新方法。
[Abstract]:The bottom structure of the tunnel is an important part of the tunnel structure. The integrity of the structure at the bottom of the tunnel has a great impact on the overall stability of the tunnel and the safety of the train. Most of the long-running railway tunnel bottom structure has a road bed, the foundation bed mud, tunnel bed, bed damage, bed sinking and other diseases, endangering the safety of the train, however, In order to satisfy the general health survey of the bottom structure of the tunnel, the traditional inspection of diseases is accomplished by manual inspection, but the diseases below the surface and some hidden diseases can not be detected by manual inspection. The fast nondestructive testing method becomes very important. The railway on-board ground penetrating radar detection system has the fast detection speed, Based on the railway vehicle ground penetrating radar detection system, the forward numerical simulation and actual detection of the bottom structure of the existing railway tunnel are carried out in this paper. The main work is as follows: 1) the layer of the tunnel bottom structure is simulated by FDTD forward modeling method. And the tunnel bed, the base bed and the mud, the tunnel bed, the foundation bed damage, the tunnel overall bed sinking and the tunnel bottom disease problem are simulated. The study shows that the air coupling antenna of 1: 1 or 300 MHz can clearly separate out the ballast layer. The air-coupled antenna of concrete filling layer and inverted arch layer can detect the mud and mud of the tunnel track bed and the base bed, and the radar reflection pattern of the slurry and mud can be shown as an upward inverted "V" hyperbolic curve, and the air coupling antenna of the concrete filling layer and the inverted arch layer can detect the mud and mud of the tunnel track bed and the base bed. When the mud and mud of the tunnel occur in the tunnel bed, the radar emission pattern is more obvious, and the air-coupled antenna of 300MHz can detect the damage of the tunnel bed and the base bed, and the damaged radar reflection image of the tunnel track bed and the base bed is in the same phase axis disorder. A chaotic inverted "V" hyperbolic; the damage of the track bed is easier to identify than the breakage of the base bed; the radar image is easier to recognize when the damaged area is filled with water; and the radar image is easier to recognize using the air-coupled antenna of 300MHz. The radar reflection map of the subsidence of the whole track bed can clearly reflect the characteristics of the model. 2) based on the measured data of two railway lines, Xi-Kang and Yang-an, combined with the numerical simulation results and the design and construction, the maintenance data, The contrast study shows that the radar atlas is continuous in the whole line, and the radar atlas of the bottom structure of the tunnel inside and outside the tunnel at the entrance and exit of the tunnel is obviously different. The entrance and exit position of the tunnel is also the subgrade subsidence area, the radar image can recognize this kind of bad disease phenomenon. For the tunnel with inverted arch bottom structure, it can distinguish the thickness of the ballast layer, the concrete fill layer and the inverted arch layer. For the bottom structure tunnel of the base type, the upper surface layer of the ballast layer and the filling layer can be distinguished, and the section type of the bottom structure of the tunnel can be identified according to the layer characteristics.) the ground penetrating radar on the vehicle can pick up the mud diseases of the tunnel track bed and the foundation bed. The tunnel track bed, the foundation bed damage, the whole track bed sinking disease, the radar image and the aforementioned forward simulation result basically similar, the detection result and the railway works section provides the maintenance maintenance data. It can be used to detect the bottom structure of the tunnel, which does not affect the normal running of the railway. It can be used as a new method for the detection of the bottom structure of the tunnel.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U456

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