機場高填方沉降變形分析與預測及數(shù)據(jù)可視化研究
發(fā)布時間:2019-06-29 11:34
【摘要】:西南地區(qū)因地形因素限制,機場建設具有挖填方工程量大及填方高度較高的特點,從而出現(xiàn)沉降量大、沉降期長的問題,嚴重影響著機場施工修建進度和投入使用后的安全。因此,針對機場高填方沉降的觀測和沉降特征的分析是十分必要的。通過對現(xiàn)場實際監(jiān)測資料的整理分析,可以分析總結(jié)高填方地基沉降變形的特征,從而分析原地基及填筑體沉降的機制。同時,根據(jù)長期的沉降監(jiān)測數(shù)據(jù),可以對工后沉降進行預測,為指導施工及相似工程的決策提供依據(jù)。本文首先對昆明新機場高填方沉降監(jiān)測資料進行了整理,根據(jù)實際監(jiān)測資料,分別從原地基和填筑體兩個方面對高填方地基沉降的主要影響因素進行了分析和總結(jié);同時,對不同時段的原地基沉降特征、填筑體沉降變形進行實測分析及沉降機制的分析總結(jié)。在沉降監(jiān)測數(shù)據(jù)的基礎(chǔ)上,分別采用雙曲線法、對數(shù)曲線法、指數(shù)曲線法、Pearl曲線法、灰色GM(1,1)模型、灰色Verhulst模型及人工神經(jīng)網(wǎng)絡法建立不同時段沉降預測模型,對各模型的參數(shù)取值和預測精度進行分析討論。然后,選取典型地基沉降監(jiān)測點,分別以三個時間段監(jiān)測數(shù)據(jù)為樣本建立預測模型,對其后期沉降進行預測,并將預測結(jié)果進行比較,對比分析各方法在不同時間段預測的優(yōu)缺點和適用情況。通過有限差分理論,采用FLAC3D有限差分軟件對昆明新機場高填方典型斷面進行三維數(shù)值模擬,模擬典型斷面的填筑過程,分析地基在填筑加載過程中的沉降變形規(guī)律,并在此過程對斷面中地基沉降監(jiān)測點進行豎向位移跟蹤記錄,得到沉降模擬曲線,與實測結(jié)果進行比較,結(jié)果顯示模擬結(jié)果與實測曲線較為吻合,表明數(shù)值模擬是高填方地基沉降計算的一種快速、較準確的方法。最后,根據(jù)昆明新機場填方施工后的地表沉降監(jiān)測點及其沉降監(jiān)測數(shù)據(jù),引入ArcGIS技術(shù),通過ArcCatalog建立機場施工后地表沉降數(shù)據(jù)庫,采用三維空間分析實現(xiàn)沉降數(shù)據(jù)的空間插值、創(chuàng)建TIN表面,通過ArcScene三維可視化功能實現(xiàn)沉降數(shù)據(jù)的三維可視化顯示和表達。
[Abstract]:Due to the limitation of topographic factors, the airport construction in southwest China has the characteristics of large quantity of digging and filling and high height of filling, which leads to the problems of large settlement and long settlement period, which seriously affects the progress of airport construction and the safety after it is put into use. Therefore, it is very necessary to observe and analyze the settlement characteristics of airport high fill settlement. Through the collation and analysis of the actual monitoring data in the field, the characteristics of settlement deformation of high fill foundation can be analyzed and summarized, and the settlement mechanism of original foundation and filling body can be analyzed. At the same time, according to the long-term settlement monitoring data, the post-construction settlement can be predicted, which provides the basis for guiding the construction and the decision-making of similar projects. In this paper, the monitoring data of high fill settlement in Kunming New Airport are sorted out, and the main influencing factors of settlement of high fill foundation are analyzed and summarized from two aspects of original foundation and filling body respectively. At the same time, the settlement characteristics of original foundation, settlement deformation of filling body and settlement mechanism are analyzed and summarized. On the basis of settlement monitoring data, hyperbolic method, logarithmic curve method, exponential curve method, Pearl curve method, grey GM (1, 1) model, grey Verhulst model and artificial neural network method are used to establish settlement prediction models in different periods, and the parameter values and prediction accuracy of each model are analyzed and discussed. Then, the typical foundation settlement monitoring points are selected, and the prediction models are established with the monitoring data of three time periods as samples, and the later settlement is predicted, and the prediction results are compared and analyzed, and the advantages, disadvantages and application of each method in different time periods are compared and analyzed. Based on the finite difference theory and FLAC3D finite difference software, the 3D numerical simulation of the typical section of the high fill in Kunming New Airport is carried out, the filling process of the typical section is simulated, the law of settlement and deformation of the foundation during filling loading is analyzed, and the vertical displacement tracking record of the settlement monitoring point in the section is carried out, and the settlement simulation curve is obtained, which is compared with the measured results. The results show that the simulation results are in good agreement with the measured curves, which indicates that the numerical simulation is a fast and accurate method for calculating the settlement of high fill foundation. Finally, according to the monitoring point of surface subsidence and its settlement monitoring data after filling construction of Kunming new airport, ArcGIS technology is introduced, the database of surface subsidence after airport construction is established by ArcCatalog, the spatial interpolation of settlement data is realized by three-dimensional spatial analysis, the TIN surface is created, and the 3D visualization display and expression of settlement data are realized by ArcScene three-dimensional visualization function.
【學位授予單位】:成都理工大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TU433
本文編號:2507785
[Abstract]:Due to the limitation of topographic factors, the airport construction in southwest China has the characteristics of large quantity of digging and filling and high height of filling, which leads to the problems of large settlement and long settlement period, which seriously affects the progress of airport construction and the safety after it is put into use. Therefore, it is very necessary to observe and analyze the settlement characteristics of airport high fill settlement. Through the collation and analysis of the actual monitoring data in the field, the characteristics of settlement deformation of high fill foundation can be analyzed and summarized, and the settlement mechanism of original foundation and filling body can be analyzed. At the same time, according to the long-term settlement monitoring data, the post-construction settlement can be predicted, which provides the basis for guiding the construction and the decision-making of similar projects. In this paper, the monitoring data of high fill settlement in Kunming New Airport are sorted out, and the main influencing factors of settlement of high fill foundation are analyzed and summarized from two aspects of original foundation and filling body respectively. At the same time, the settlement characteristics of original foundation, settlement deformation of filling body and settlement mechanism are analyzed and summarized. On the basis of settlement monitoring data, hyperbolic method, logarithmic curve method, exponential curve method, Pearl curve method, grey GM (1, 1) model, grey Verhulst model and artificial neural network method are used to establish settlement prediction models in different periods, and the parameter values and prediction accuracy of each model are analyzed and discussed. Then, the typical foundation settlement monitoring points are selected, and the prediction models are established with the monitoring data of three time periods as samples, and the later settlement is predicted, and the prediction results are compared and analyzed, and the advantages, disadvantages and application of each method in different time periods are compared and analyzed. Based on the finite difference theory and FLAC3D finite difference software, the 3D numerical simulation of the typical section of the high fill in Kunming New Airport is carried out, the filling process of the typical section is simulated, the law of settlement and deformation of the foundation during filling loading is analyzed, and the vertical displacement tracking record of the settlement monitoring point in the section is carried out, and the settlement simulation curve is obtained, which is compared with the measured results. The results show that the simulation results are in good agreement with the measured curves, which indicates that the numerical simulation is a fast and accurate method for calculating the settlement of high fill foundation. Finally, according to the monitoring point of surface subsidence and its settlement monitoring data after filling construction of Kunming new airport, ArcGIS technology is introduced, the database of surface subsidence after airport construction is established by ArcCatalog, the spatial interpolation of settlement data is realized by three-dimensional spatial analysis, the TIN surface is created, and the 3D visualization display and expression of settlement data are realized by ArcScene three-dimensional visualization function.
【學位授予單位】:成都理工大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TU433
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,本文編號:2507785
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