【摘要】：基坑開挖會(huì)產(chǎn)生基坑變形,變形的發(fā)展又會(huì)使基坑存在安全隱患,甚至?xí)斐苫邮鹿?因此為達(dá)到對(duì)基坑事故事前控制的目的,基坑變形預(yù)測(cè)變得尤為重要。然而基坑工程復(fù)雜多樣,目前基坑的變形預(yù)測(cè)缺乏比較成熟的理論指導(dǎo),理論體系尚不健全。本論文以重慶某深基坑項(xiàng)目工程GH-HI-IA-AA'-A'B段為研究對(duì)象,該區(qū)段內(nèi)采用了三種不同的高壓旋噴水泥土樁墻復(fù)合支護(hù)結(jié)構(gòu)進(jìn)行支護(hù),結(jié)合ABAQUS有限元方法對(duì)基坑天然工況以及暴雨工況下基坑變形進(jìn)行了預(yù)測(cè),并把ABAQUS預(yù)測(cè)結(jié)果與基坑實(shí)際監(jiān)測(cè)數(shù)據(jù)的差值作為輸入因子,利用BP神經(jīng)網(wǎng)絡(luò)方法對(duì)基坑的IA-AA'段10m深處基坑側(cè)向變形進(jìn)行預(yù)測(cè),主要研究?jī)?nèi)容如下:(1)總結(jié)了目前基坑變形預(yù)測(cè)方法的利弊,指出多種方法相結(jié)合成為了目前主要的研究方向,本論文就是結(jié)合有限元分析法和系統(tǒng)分析法進(jìn)行基坑的變形預(yù)測(cè)。(2)結(jié)合重慶某深基坑項(xiàng)目工程GH-HI-IA-AA'-A'B段,利用ABAQUS有限元方法,對(duì)天然工況下的基坑周邊地表沉降、基坑底部隆起以及基坑側(cè)向變形進(jìn)行了預(yù)測(cè),對(duì)比分析了 GH-HI段加筋高壓旋噴水泥土墻+錨拉樁支護(hù)、IA-AA'段加筋高壓旋噴水泥土墻支護(hù)、A'B段加筋高壓旋噴水泥土墻+肋板式擋土墻支護(hù)三段不同支護(hù)方式的預(yù)測(cè)結(jié)果,歸納總結(jié)加筋高壓旋噴水泥土墻不同復(fù)合支護(hù)方式的基坑變形規(guī)律。(3)暴雨工況下考慮基坑的滲流作用,利用ABAQUS對(duì)基坑周邊地表沉降、基坑底部隆起以及基坑側(cè)向變形進(jìn)行了預(yù)測(cè),對(duì)比基坑天然和暴雨工況基坑的變形特征,指出了暴雨工況下基坑變形有較明顯的增大。(4)利用ABAQUS的模擬計(jì)算值與實(shí)測(cè)值的差值作為BP神經(jīng)網(wǎng)絡(luò)輸入因子,對(duì)基坑IA-AA'段10m深處進(jìn)行變形預(yù)測(cè),對(duì)比ABAQUS有限元方法與BP神經(jīng)網(wǎng)絡(luò)法,表明BP神經(jīng)網(wǎng)絡(luò)法對(duì)基坑變形預(yù)測(cè)精度高,但可預(yù)見性較差,而ABAQUS有限元方法對(duì)基坑變形預(yù)測(cè)精度較低,可預(yù)見性好。
[Abstract]:The deformation of foundation pit will occur in foundation pit excavation, and the development of deformation will make the foundation pit have hidden danger of safety and even cause foundation pit accidents. Therefore, in order to control the foundation pit accident in advance, it is particularly important to predict the deformation of foundation pit. However, the foundation pit engineering is complex and diverse, and the deformation prediction of foundation pit is lack of mature theoretical guidance, and the theoretical system is not perfect. In this paper, the GH-HI-IA-AA'-A'B section of a deep foundation pit project in Chongqing is taken as the research object, in which three different composite supporting structures of high pressure rotary jet cement pile wall are used to support the foundation pit. Combined with the ABAQUS finite element method, the deformation of the foundation pit under natural and rainstorm conditions is predicted, and the difference between the ABAQUS prediction results and the actual monitoring data of the foundation pit is taken as the input factor. The BP neural network method is used to predict the lateral deformation of the foundation pit at the depth of 10 m in the IA-AA' section of the foundation pit. The main research contents are as follows: (1) the advantages and disadvantages of the current foundation pit deformation prediction methods are summarized, and it is pointed out that the combination of various methods has become the main research direction at present. In this paper, the deformation prediction of foundation pit is carried out by combining finite element analysis and system analysis. (2) combined with the GH-HI-IA-AA'-A'B section of a deep foundation pit project in Chongqing, the surface settlement around the foundation pit, the bottom uplift of the foundation pit and the lateral deformation of the foundation pit under natural working conditions are predicted by using the ABAQUS finite element method, and the reinforced high pressure rotary jet cement-soil wall anchor and pull pile support in the GH-HI section is compared and analyzed. The prediction results of reinforced high pressure rotary spray cement-soil wall support in IA-AA' section and reinforced high pressure rotary spray cement-soil wall ribbed plate retaining wall support in section A / B are summarized. (3) considering the seepage effect of foundation pit under rainstorm condition, ABAQUS is used to settle the surface around the foundation pit. The uplift at the bottom of the foundation pit and the lateral deformation of the foundation pit are predicted. Compared with the deformation characteristics of the foundation pit under natural and rainstorm conditions, it is pointed out that the deformation of the foundation pit under the rainstorm condition is obviously increased. (4) using the difference between the simulated calculated value and the measured value of ABAQUS as the input factor of the BP neural network, the deformation prediction of the IA-AA' section of the foundation pit is carried out, and the ABAQUS finite element method and the BP neural network method are compared. It is shown that BP neural network method has high accuracy but poor predictability for foundation pit deformation prediction, while ABAQUS finite element method has low accuracy and good predictability for foundation pit deformation prediction.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU753

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