本文選題：TBM + 掘進(jìn)性能��； 參考：《石家莊鐵道大學(xué)》2014年碩士論文

【摘要】：進(jìn)入新世紀(jì)以來，我國大規(guī)模基礎(chǔ)設(shè)施建設(shè)得到了極大的發(fā)展，引水隧道、城市地鐵、水電工程等重大工程需要修建，并且越來越多的隧道工程采取TBM施工方法。TBM的掘進(jìn)性能研究已經(jīng)成為必要的研究課題，該課題研究對TBM選型設(shè)計、施工工期和施工成本預(yù)估有重要意義。 本論文以采用開敞式硬巖TBM施工的西藏旁多輸水洞工程為背景，從機(jī)器組裝到試掘進(jìn)期間，記錄了機(jī)器選型、組裝過程并在現(xiàn)場收集掘進(jìn)測試數(shù)據(jù)；基于現(xiàn)場大量實際數(shù)據(jù)，利用數(shù)理統(tǒng)計原理和方法，并通過MATLAB、EXCEL等軟件對這些數(shù)據(jù)進(jìn)行統(tǒng)計分析，得到了掘進(jìn)參數(shù)和掘進(jìn)速度的相關(guān)規(guī)律，建立了Ⅳ類圍巖下的TBM掘進(jìn)性能預(yù)測多元回歸分析的數(shù)學(xué)模型，得出了TBM掘進(jìn)速度與貫入度、刀盤扭矩、推力之間的公式，最后通過模型驗證得出結(jié)果與TBM實際掘進(jìn)速度有很好的吻合。此外，本文還對TBM的試掘進(jìn)期間的作業(yè)利用率和設(shè)備完好率進(jìn)行了分析，找出了影響TBM掘進(jìn)速度的參數(shù)。這對后期工程的施工和維護(hù)具有很好的借鑒意義。 與國內(nèi)外TBM掘進(jìn)性能的研究模型相比，，本論文是以現(xiàn)場機(jī)器實際數(shù)據(jù)的采集分析和處理為基礎(chǔ)，找到掘進(jìn)參數(shù)和掘進(jìn)速度的規(guī)律，建立一種新的預(yù)測模型，研究不僅對國內(nèi)類似地質(zhì)情況工程的性能分析預(yù)測具有指導(dǎo)和借鑒價值，并且對掘進(jìn)機(jī)國產(chǎn)化設(shè)計提供有益的指導(dǎo)。
[Abstract]:Since the beginning of the new century, large-scale infrastructure construction in China has been greatly developed. Major projects such as diversion tunnels, urban subways and hydropower projects need to be built. And more tunnel engineering adopt TBM construction method. TBM tunneling performance research has become a necessary research topic, this research is of great significance for TBM selection design, construction duration and construction cost prediction. In this paper, based on the open hard rock TBM construction of Xizang Bian multi-water conveyance tunnel project, from machine assembly to trial tunneling, the paper records the machine selection, assembly process and collection of tunneling test data on the spot, based on a large number of actual data on the spot. By using mathematical statistics principle and method, and through statistical analysis of these data by MATLAB excel software, the related laws of tunneling parameters and tunneling speed are obtained, and the mathematical model of multivariate regression analysis of TBM tunneling performance prediction under class 鈪

本文編號：1964403