本文選題：盾構法隧道 + 施工參數��； 參考：《石家莊鐵道大學》2015年碩士論文

【摘要】：隨著我國隧道工程進入大規(guī)模建設階段,作為先進的隧道施工技術,盾構法施工的應用也日益廣泛。在不同的地質條件下,盾構機的千斤頂壓力、推進速度、刀盤轉速、注漿量等工作參數的匹配對施工效率的影響很大,盾構機運行狀態(tài)的好壞決定了施工的質量和進度,是施工企業(yè)安全生產、提高效益、樹立形象、服務社會的重要因素�；谏鲜鲈�,本文開展了對盾構機施工參數優(yōu)化的深入而系統研究。首先,介紹了盾構法施工技術的研究背景和發(fā)展現狀,對土壓平衡盾構機的主要結構、土壓平衡盾構技術和盾構法施工引起的地表沉降機理做了較為詳細的研究,并結合工程實際,運用正交試驗法,對盾構機施工參數進行了優(yōu)化匹配和敏感度分析。然后將盾構機重要施工參數和當前沉降量作為輸入量,下一階段地表沉降量作為輸出量,分別建立了基于BP神經網絡和自適應神經模糊推理系統(ANFIS)的地表沉降預測模型,根據實時采集的盾構機施工參數和地表沉降數據,對預測模型進行了網絡訓練。訓練誤差達到期望后,對盾構施工引起的地表沉降進行了預測,預測結果與實際數據進行了比對和分析。實驗結果表明,ANFIS在預測盾構施工引起的地表沉降方面具有很好的應用價值。神經網絡和模糊推理相結合的方法在地表沉降預測方面具有廣闊前景和發(fā)展優(yōu)勢。在ANFIS沉降預測模型的基礎上,詳細討論了盾構機重要施工參數與地表沉降之間的關系。重點研究了盾構機重要施工參數分別以及共同對地表沉降的影響規(guī)律,并提出了盾構機施工參數合理的設定范圍。國內對于盾構機施工參數間關系和匹配的規(guī)律研究相對滯后,對于施工參數的匹配和地表沉降的控制仍然停留在經驗階段。本課題對于典型的地質條件和線路條件下的盾構機施工參數與地表沉降的關系進行總結分析。根據盾構施工參數狀態(tài)對地表沉降做出科學預測并通過盾構機施工參數之間的匹配優(yōu)化,保證了開挖面的穩(wěn)定,最大限度的減小地表沉降,對于盾構法施工具有較好的指導意義。
[Abstract]:As the advanced tunnel construction technology, shield method has been widely used in tunnel construction in China. Under different geological conditions, the matching of working parameters such as Jack pressure, propulsion speed, speed of cutter head and grouting quantity of shield machine has a great influence on the construction efficiency. The quality and progress of construction are determined by the running state of shield machine. Is the construction enterprise safe production, enhances the benefit, sets up the image, serves the society the important factor. Based on the above reasons, this paper carried out a thorough and systematic study on the optimization of shield machine construction parameters. Firstly, the research background and development status of shield construction technology are introduced, and the main structure of earth pressure balance shield machine, earth pressure balance shield technology and ground subsidence mechanism caused by shield construction are studied in detail. Combined with engineering practice, orthogonal test method is used to optimize matching and sensitivity analysis of shield machine construction parameters. Then taking the important construction parameters and current settlement of shield machine as input and the surface subsidence as output in the next stage, the prediction models of surface subsidence based on BP neural network and adaptive neural fuzzy inference system (ANFIS) are established, respectively. According to the real-time acquisition of shield machine construction parameters and surface subsidence data, the prediction model was trained by network. After the training error reaches the expectation, the ground subsidence caused by shield construction is forecasted, and the prediction results are compared and analyzed with the actual data. The experimental results show that ANFIS has a good application value in predicting the ground subsidence caused by shield tunneling. The combination of neural network and fuzzy reasoning has broad prospects and advantages in the prediction of surface subsidence. On the basis of ANFIS settlement prediction model, the relationship between the important construction parameters of shield machine and surface settlement is discussed in detail. The important construction parameters of shield machine and the law of common influence on surface subsidence are studied emphatically, and the reasonable setting range of construction parameters of shield machine is put forward. In China, the research on the relationship between the construction parameters and the matching law of shield machine is lagging behind, and the control of the construction parameters and the surface subsidence is still in the empirical stage. This paper summarizes and analyzes the relationship between the construction parameters of shield machine and surface subsidence under typical geological conditions and route conditions. According to the condition of shield construction parameters, the surface subsidence is predicted scientifically and optimized by matching the construction parameters of shield machine, which ensures the stability of excavating surface and minimizes the surface settlement. It has good guiding significance for shield construction.
【學位授予單位】：石家莊鐵道大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U455.39

【參考文獻】

相關期刊論文 前1條

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本文編號：1904471