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勝利露天礦邊坡變形監(jiān)測(cè)與有限元分析

發(fā)布時(shí)間:2018-04-13 02:04

  本文選題:露天礦 + 邊坡 ; 參考:《遼寧工程技術(shù)大學(xué)》2015年碩士論文


【摘要】:我國(guó)是煤炭資源開(kāi)采大國(guó),煤炭資源豐富,開(kāi)采方式多樣化,其中露天開(kāi)采是重要的開(kāi)采方式。在露天開(kāi)采過(guò)程中會(huì)形成邊坡,由于不斷的開(kāi)采邊坡會(huì)逐漸加大,同時(shí)會(huì)產(chǎn)生邊坡的失穩(wěn)問(wèn)題,導(dǎo)致地址災(zāi)害的發(fā)生。嚴(yán)重的威脅到生產(chǎn)安全與人身財(cái)產(chǎn)安全。所以,針對(duì)露天礦邊坡進(jìn)行變形監(jiān)測(cè),是一項(xiàng)非常重要而又意義的工作。本文研究的主要內(nèi)容如下:本文敘述了露天礦邊坡的特點(diǎn),并依據(jù)其特點(diǎn)提出了適合露天礦邊坡的變形監(jiān)測(cè)網(wǎng)的布網(wǎng)方案,應(yīng)用GPS一機(jī)多天線的方法對(duì)邊坡進(jìn)行變形監(jiān)測(cè),并獲取監(jiān)測(cè)點(diǎn)位的位移變化的數(shù)據(jù)。對(duì)數(shù)據(jù)的預(yù)處理。由于信號(hào)受到多種因素影響,所以信號(hào)就會(huì)產(chǎn)生噪聲,我們就要對(duì)信號(hào)進(jìn)行分析處理。本文利用小波理論對(duì)信號(hào)進(jìn)行時(shí)頻局部化分析,很好的監(jiān)測(cè)出信號(hào)的奇異分布。實(shí)例驗(yàn)證。以勝利露天煤礦的邊坡為研究對(duì)象,采用GPS一機(jī)多天線的技術(shù)和方法采集數(shù)據(jù),運(yùn)用小波包理論對(duì)監(jiān)測(cè)數(shù)據(jù)進(jìn)行降噪處理,利用Midas GTS軟件建立邊坡三維模型,進(jìn)行有限元分析,將實(shí)測(cè)數(shù)據(jù),降噪后數(shù)據(jù)和模擬數(shù)據(jù)進(jìn)行對(duì)比,最終得出結(jié)論。
[Abstract]:Our country is a big country of coal resource mining, which is rich in coal resources and diversified in mining methods, among which open-pit mining is an important mining method.In the process of open-pit mining, the slope will be formed, because the continuous mining slope will gradually increase, at the same time will produce the problem of slope instability, resulting in the occurrence of address disasters.Serious threat to production safety and personal and property safety.Therefore, monitoring the slope deformation is a very important and significant work.The main contents of this paper are as follows: the characteristics of open-pit slope are described in this paper, and according to its characteristics, the scheme of netting suitable for deformation monitoring network of open-pit slope is put forward, and the deformation monitoring of slope is carried out by using the method of GPS and multi-antenna.The data of monitoring the displacement of the points are obtained.The preprocessing of data.Because the signal is affected by many factors, the signal will produce noise, so we must analyze and process the signal.In this paper, the wavelet theory is used to analyze the time-frequency localization of the signal, and the singular distribution of the signal is well monitored.Example verification.Taking the slope of Shengli opencast coal mine as the research object, the technique and method of GPS machine and multiple antennas are used to collect data, the wavelet packet theory is used to deal with the monitoring data, the Midas GTS software is used to establish the 3D model of slope, and the finite element analysis is carried out.The measured data, the noise reduction data and the simulated data are compared, and the final conclusion is drawn.
【學(xué)位授予單位】:遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TD824.7;TD326

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