本文選題：變形監(jiān)測　切入點(diǎn)：變形分析　出處：《昆明理工大學(xué)》2013年碩士論文

【摘要】：近年來我國經(jīng)濟(jì)騰飛,各地都在加快城市化的進(jìn)程,高大建筑物如雨后春筍般不斷增加。為了保證建筑物可以正常使用及其安全性,對其建設(shè)及使用、維護(hù)過程中進(jìn)行系統(tǒng)的監(jiān)測是十分必要的。變形監(jiān)測的目的是對變形體的形變趨勢作出預(yù)測,依據(jù)為觀測積累的變形數(shù)據(jù),方法是分析并掌握變形體的變形規(guī)律和特點(diǎn)。經(jīng)多年的實(shí)踐與研究,現(xiàn)在對變形監(jiān)測數(shù)據(jù)的處理和分析,已經(jīng)形成了相對成熟的理論體系,建立了較多的預(yù)測預(yù)報(bào)模型,如回歸模型、卡爾曼濾波模型、時(shí)間序列模型、人工神經(jīng)網(wǎng)絡(luò)模型以及灰色GM模型等。 灰色系統(tǒng)理論的研究對象是“不完全確定”系統(tǒng),在這個(gè)系統(tǒng)中的元素“部分信息已知,部分信息未知”,已知部分信息經(jīng)過特殊的方法處理與挖掘之后,使得整個(gè)系統(tǒng)得到確切描述和認(rèn)識。變形監(jiān)測的累積觀測數(shù)據(jù)作為變形體的離散序列,本身就具有灰色的性質(zhì),因此灰色系統(tǒng)理論可以理想而有效地應(yīng)用于變形監(jiān)測的分析預(yù)報(bào)工作中。 本文針對這一應(yīng)用需求,以灰色系統(tǒng)理論為基礎(chǔ),并對對傳統(tǒng)GM(1,1)模型加以改進(jìn),將灰色模型應(yīng)用于某大型橋梁施工監(jiān)測的分析與預(yù)報(bào)中,主要的研究工作有： (1)對現(xiàn)有變形分析和預(yù)報(bào)的主要技術(shù)手段進(jìn)行分析,闡述了灰色系統(tǒng)理論應(yīng)用在變形監(jiān)測工作中的優(yōu)勢。以此為基礎(chǔ),對灰色系統(tǒng)理論進(jìn)行了研究與分析。 (2)從灰色建模與灰色預(yù)測的原理入手,分析了傳統(tǒng)GM(1,1)模型的缺點(diǎn)與局限性,并在此基礎(chǔ)之上,對模型背景值的確定進(jìn)行了修改,對初始值的確定做了改進(jìn)。 (3)本文結(jié)合某大型橋梁施工監(jiān)測的實(shí)例,以Visual Studio2007為工具,將本文中改進(jìn)后GM(1,1)模型對某大型橋梁施工監(jiān)測數(shù)據(jù)進(jìn)行模擬與分析,并對改進(jìn)前后的模型進(jìn)行對比與分析,其結(jié)論驗(yàn)證了改進(jìn)后GM(1,1)的可靠性與優(yōu)越性。
[Abstract]:In recent years, with the rapid development of economy in our country, the process of urbanization has been quickened.In order to ensure the normal use and safety of buildings, it is necessary to carry out systematic monitoring in the process of construction, use and maintenance.The purpose of deformation monitoring is to predict the trend of deformation of deformable bodies. The method is to analyze and master the deformation laws and characteristics of deformable bodies based on the accumulated deformation data.After many years of practice and research, a relatively mature theoretical system has been formed for the processing and analysis of deformation monitoring data, and more prediction models, such as regression model, Kalman filter model, time series model, have been established.Artificial neural network model and grey GM model.The research object of grey system theory is "incomplete determination" system. The elements in the system are "part information is known, part information is unknown", and the known part information is processed and mined by special methods.So that the whole system is accurately described and understood.As the discrete sequence of deformation monitoring, the accumulated observation data of deformation monitoring have grey properties, so the grey system theory can be applied to the analysis and prediction of deformation monitoring.In this paper, based on the grey system theory and the improvement of the traditional GM-1) model, the grey model is applied to the analysis and forecast of a large bridge construction monitoring. The main research work is as follows:1) the main technical means of deformation analysis and prediction are analyzed, and the advantages of grey system theory in deformation monitoring are expounded.On this basis, the grey system theory is studied and analyzed.2) based on the principle of grey modeling and grey prediction, the shortcomings and limitations of the traditional GM-1) model are analyzed. On the basis of this, the determination of the background value of the model is modified, and the determination of the initial value is improved.3) combining with the example of a large bridge construction monitoring, using Visual Studio2007 as a tool, this paper simulates and analyzes the monitoring data of a large bridge construction with the improved model, and makes a comparison and analysis of the model before and after the improvement.The conclusion verifies the reliability and superiority of the improved GMX 1 / 1).
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TU196.2

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本文編號：1720099