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(lái)，我國(guó)大規(guī)�；A(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(lái)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(duì)TBM選型設(shè)計(jì)、施工工期和施工成本預(yù)估有重要意義。 本論文以采用開(kāi)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(guò)程并在現(xiàn)場(chǎng)收集掘進(jìn)測(cè)試數(shù)據(jù)；基于現(xiàn)場(chǎng)大量實(shí)際數(shù)據(jù)，利用數(shù)理統(tǒng)計(jì)原理和方法，并通過(guò)MATLAB、EXCEL等軟件對(duì)這些數(shù)據(jù)進(jìn)行統(tǒng)計(jì)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(cè)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(pán)扭矩、推力之間的公式，最后通過(guò)模型驗(yàn)證得出結(jié)果與TBM實(shí)際掘進(jìn)速度有很好的吻合。此外，本文還對(duì)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(duì)后期工程的施工和維護(hù)具有很好的借鑒意義。 與國(guó)內(nèi)外TBM掘進(jìn)性能的研究模型相比，，本論文是以現(xiàn)場(chǎng)機(jī)器實(shí)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(cè)模型，研究不僅對(duì)國(guó)內(nèi)類似地質(zhì)情況工程的性能分析預(yù)測(cè)具有指導(dǎo)和借鑒價(jià)值，并且對(duì)掘進(jìn)機(jī)國(guó)產(chǎn)化設(shè)計(jì)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(hào)：1964403