本文選題：地鐵工程 + 盾構(gòu)隧道施工�。� 參考：《華中科技大學(xué)》2015年碩士論文

【摘要】：盾構(gòu)在始發(fā)、穿越風(fēng)井、接收、聯(lián)絡(luò)通道等重要區(qū)段的施工會(huì)造成管片受力的變化,進(jìn)而引起管片的變形,嚴(yán)重時(shí)會(huì)出現(xiàn)裂縫,導(dǎo)致隧道內(nèi)涌水涌砂現(xiàn)象,發(fā)生災(zāi)難性的后果。目前管片結(jié)構(gòu)應(yīng)力監(jiān)測(cè)技術(shù)日趨成熟,施工安全在一定程度上得到了保障,但在風(fēng)險(xiǎn)應(yīng)對(duì)機(jī)制還不是十分完善的情況下,利用預(yù)測(cè)模型來(lái)爭(zhēng)取到更多的風(fēng)險(xiǎn)應(yīng)對(duì)時(shí)間,可以更好地保證施工安全,減少事故造成的損失。本文以武漢地鐵四號(hào)線盾構(gòu)隧道工程實(shí)測(cè)數(shù)據(jù)為基礎(chǔ),通過(guò)數(shù)據(jù)的初步處理,指出了管片結(jié)構(gòu)應(yīng)力時(shí)序變化的一般規(guī)律。對(duì)管片結(jié)構(gòu)應(yīng)力的影響因素進(jìn)行分析,從定性的角度說(shuō)明了在盾構(gòu)掘進(jìn)過(guò)程中,管片結(jié)構(gòu)應(yīng)力變化具有混沌性。結(jié)合混沌理論與BP神經(jīng)網(wǎng)絡(luò),構(gòu)建了混沌時(shí)間序列預(yù)測(cè)模型,將工程實(shí)測(cè)數(shù)據(jù)代入模型,分析了數(shù)據(jù)的混沌性,并進(jìn)行管片結(jié)構(gòu)應(yīng)力預(yù)測(cè)分析。隨機(jī)選取一個(gè)2000組的管片結(jié)構(gòu)應(yīng)力時(shí)序段作為混沌時(shí)序預(yù)測(cè)的樣本,基于MATLAB軟件,完成管片結(jié)構(gòu)應(yīng)力混沌時(shí)序重要參數(shù)的計(jì)算。其中C-C法算得的嵌入維數(shù)m?5和延遲時(shí)間??3,將算得參數(shù)結(jié)合坐標(biāo)延遲法,實(shí)現(xiàn)相空間的重構(gòu)。Wolf法算得的混沌時(shí)序的最大Lyapunov指數(shù)λ=0.64870,驗(yàn)證了時(shí)間序列的混沌性。重構(gòu)后的相空間為BP神經(jīng)網(wǎng)絡(luò)提供了輸入層、輸出層數(shù)據(jù)和輸入層節(jié)點(diǎn)數(shù)。根據(jù)嵌入維數(shù)初始化BP神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)。進(jìn)行神經(jīng)網(wǎng)絡(luò)訓(xùn)練,得出預(yù)測(cè)結(jié)果,利用MSE(均方誤差)、MPE(平均百分比誤差)、最大最小絕對(duì)誤差、最大最小誤差百分比來(lái)衡量預(yù)測(cè)結(jié)果的準(zhǔn)確度,其中MSE=0.03130.05,MPE=0.042%0.1%,衡量結(jié)果表明混沌時(shí)間序列預(yù)測(cè)模型對(duì)于管片結(jié)構(gòu)應(yīng)力的預(yù)測(cè)能保證較好的精度。
[Abstract]:The construction of shield machine in the beginning, passing through the air well, receiving, connecting channel and other important sections will cause the change of the stress of the segment, and then cause the deformation of the segment, and when it is serious, the cracks will appear, which will lead to the phenomenon of water gushing and sand gushing in the tunnel, which will have disastrous consequences. At present, the stress monitoring technology of segment structure is maturing day by day, and the construction safety is guaranteed to a certain extent, but under the condition that the risk response mechanism is not very perfect, the prediction model is used to gain more risk response time. Can better guarantee the construction safety, reduce the loss caused by the accident. Based on the measured data of shield tunneling project of Wuhan Metro Line 4, this paper points out the general law of stress time series change of segment structure through the preliminary processing of the data. The influencing factors of segment structure stress are analyzed and the chaos of segment structure stress variation in shield tunneling process is explained qualitatively. Based on the chaos theory and BP neural network, the chaotic time series prediction model is constructed, the engineering measured data is substituted into the model, the chaos of the data is analyzed, and the stress prediction of the segment structure is analyzed. A random 2000 group of segment structural stress time series was selected as the sample of chaotic time series prediction. Based on MATLAB software, the important parameters of segment structure stress chaotic time series were calculated. The embedding dimension m5 and the delay time are calculated by C-C method. The maximum Lyapunov exponent 位 _ (0.64870) of the chaotic time series calculated by the reconstruction of phase space. Wolf method is realized by combining the parameters with the coordinate delay method, which verifies the chaos of the time series. The reconstructed phase space provides input layer, output layer data and input layer node points for BP neural network. The BP neural network structure is initialized according to the embedding dimension. Neural network training is carried out to obtain the prediction results. The accuracy of the prediction results is measured by MSE (mean square error) MPE (mean percentage error), maximum and minimum absolute error, maximum and minimum error percentage. Among them, MSE 0.03130.05 MPEG 0.0420.1, the measured results show that the prediction model of chaotic time series can ensure a good accuracy for the prediction of segment structure stress.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U455.43

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 何春;張栲;周誠(chéng);;地鐵盾構(gòu)隧道管片結(jié)構(gòu)應(yīng)力可視化監(jiān)測(cè)技術(shù)[J];鐵道工程學(xué)報(bào);2014年11期

2 袁昌茂;文鴻雁;;變形監(jiān)測(cè)數(shù)據(jù)的混沌現(xiàn)象分析[J];現(xiàn)代測(cè)繪;2011年05期

3 張偉;儲(chǔ)冬冬;余新洲;;RBF神經(jīng)網(wǎng)絡(luò)在大壩應(yīng)變預(yù)報(bào)中的應(yīng)用[J];人民黃河;2011年02期

4 張偉;吳丹;李小奇;胡曉雨;;基于最小二乘支持向量機(jī)的大壩應(yīng)力預(yù)測(cè)模型[J];水利與建筑工程學(xué)報(bào);2011年01期

5 任旺瑜;王建秀;;基于混沌理論和模糊控制理論的深基坑變形預(yù)測(cè)研究[J];災(zāi)害學(xué);2010年S1期

6 程霄翔;韓曉林;繆長(zhǎng)青;畢磊;;基于灰色理論懸臂施工中連續(xù)梁橋的應(yīng)力預(yù)測(cè)與控制[J];世界橋梁;2009年04期

7 唐孟雄;陳如桂;陳偉;;廣州地鐵盾構(gòu)隧道施工中管片受力監(jiān)測(cè)與分析[J];土木工程學(xué)報(bào);2009年03期

8 賈程;琚宏昌;陳國(guó)榮;;基于灰色BP神經(jīng)網(wǎng)絡(luò)的混凝土連續(xù)剛構(gòu)橋應(yīng)力預(yù)測(cè)[J];三峽大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年01期

9 叢培江;鄭東健;仲琳;;大壩應(yīng)力應(yīng)變監(jiān)測(cè)的多因素時(shí)變分析模型[J];武漢大學(xué)學(xué)報(bào)(信息科學(xué)版);2008年09期

10 李合軍;陳拂曉;楊永順;楊正海;董文杰;;基于BP神經(jīng)網(wǎng)絡(luò)的鋁青銅超塑性流變應(yīng)力預(yù)測(cè)模型[J];熱加工工藝;2007年05期

相關(guān)會(huì)議論文 前1條

1 許建生;盛立東;;基于改進(jìn)的支持向量機(jī)和BP神經(jīng)網(wǎng)絡(luò)的識(shí)別算法[A];第八屆全國(guó)漢字識(shí)別學(xué)術(shù)會(huì)議論文集[C];2002年

相關(guān)博士學(xué)位論文 前1條

1 劉詠梅;基于混沌時(shí)間序列分析的測(cè)井曲線識(shí)別研究[D];哈爾濱工程大學(xué);2005年

相關(guān)碩士學(xué)位論文 前6條

1 王尚昆;混沌時(shí)間序列預(yù)測(cè)模型研究[D];安徽農(nóng)業(yè)大學(xué);2013年

2 張秀麗;地鐵隧道施工實(shí)時(shí)監(jiān)測(cè)系統(tǒng)及應(yīng)用研究[D];東北大學(xué);2013年

3 胡正威;基于混沌理論的基坑工程監(jiān)測(cè)數(shù)據(jù)分析與預(yù)測(cè)研究[D];華中科技大學(xué);2013年

4 畢龍珠;混沌時(shí)間序列在建筑物變形預(yù)測(cè)中的應(yīng)用研究[D];長(zhǎng)安大學(xué);2009年

5 何四祥;混沌在結(jié)構(gòu)工程中的應(yīng)用研究[D];同濟(jì)大學(xué);2007年

6 胡玉霞;基于模糊神經(jīng)網(wǎng)絡(luò)的混沌時(shí)間序列預(yù)測(cè)[D];鄭州大學(xué);2005年

，

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