本文選題：巖體工程 + 輸水隧洞　； 參考：《東華理工大學(xué)》2017年碩士論文

【摘要】：隨著工程建設(shè)的發(fā)展,越來越多的重大工程在深部和強(qiáng)烈構(gòu)造活動(dòng)區(qū)興建,給工程的安全建設(shè)提出了重大挑戰(zhàn)。由于初始地應(yīng)力是分析圍巖的穩(wěn)定性并實(shí)現(xiàn)工程開挖設(shè)計(jì)和科學(xué)決策的重要條件。因此,準(zhǔn)確測量和反演初始地應(yīng)力是進(jìn)行工程災(zāi)害風(fēng)險(xiǎn)評(píng)估、災(zāi)害預(yù)警以及可靠防控的前提和關(guān)鍵。針對(duì)目前地應(yīng)力反演方法中的反演精度問題,本文以蘭州水源地建設(shè)工程為工程背景,基于工程現(xiàn)場初始地應(yīng)力實(shí)測資料,提出了一種結(jié)合多元線性回歸方法和PSO-BP神經(jīng)網(wǎng)絡(luò)方法的巖體初始地應(yīng)力場反演的新方法。本文的主要研究工作如下:(1)對(duì)初始地應(yīng)力的研究背景進(jìn)行了介紹,并歸納總結(jié)了國內(nèi)外地應(yīng)力測量方法和技術(shù)的適用性及發(fā)展趨勢;闡述了目前各種地應(yīng)力場反演分析方法及各自的優(yōu)缺點(diǎn),同時(shí)并介紹了初始地應(yīng)力場反演的基本原理。(2)介紹了蘭州水源地工程區(qū)域的工程概況與地質(zhì)條件,并基于現(xiàn)場地應(yīng)力的實(shí)測數(shù)據(jù),使用多元線性回歸、非線性回歸等反分析方法對(duì)蘭州水源地工程區(qū)域的初始地應(yīng)力場進(jìn)行反演分析。(3)提出了基于線性回歸的PSO-BP神經(jīng)網(wǎng)絡(luò)反演新方法,即基于多元線性回歸地應(yīng)力反演結(jié)果重新構(gòu)造樣本數(shù)據(jù),以此開展基于PSO-BP神經(jīng)網(wǎng)絡(luò)模型的地應(yīng)力反演,使用該方法對(duì)蘭州市水源地建設(shè)工程區(qū)域的初始地應(yīng)力場進(jìn)行反演分析。同時(shí),為驗(yàn)證新方法的合理性,采用工程經(jīng)驗(yàn)類比法構(gòu)造了經(jīng)驗(yàn)樣本數(shù)據(jù),并進(jìn)行了初始地應(yīng)力的神經(jīng)網(wǎng)絡(luò)反演。(4)將上述四種地應(yīng)力場反演方法得到的工程區(qū)域初始地應(yīng)力計(jì)算值分別與實(shí)測值對(duì)比分析可得到:相對(duì)其他方法,本文所提新方法不論在地應(yīng)力量值還是方向性方面均能與實(shí)測地應(yīng)力數(shù)據(jù)很好吻合,尤其在地應(yīng)力方向性方面具備更好的準(zhǔn)確性。本文提出的基于線性回歸方法的PSO-BP神經(jīng)網(wǎng)絡(luò)新方法在初始地應(yīng)力場反演中能夠考慮多種地質(zhì)構(gòu)造作用的荷載或位移作用模式和自重的影響,避免現(xiàn)有方法中構(gòu)造樣本時(shí)因?yàn)榻?jīng)驗(yàn)不足而導(dǎo)致的錯(cuò)誤,此外,通過回歸與回代過程,避免了試算法受人為因素影響和隨意性較大的缺點(diǎn)并有效地保證工程區(qū)域初始地應(yīng)力場的準(zhǔn)確反演。本文研究成果可以為相似工程的初始地應(yīng)力場反演提供重要參考。
[Abstract]:With the development of engineering construction, more and more important projects are built in deep and strong tectonic active areas, which brings great challenges to the safety construction of engineering. The initial in-situ stress is an important condition for analyzing the stability of surrounding rock and realizing engineering excavation design and scientific decision. Therefore, accurate measurement and inversion of initial in-situ stress is the prerequisite and key for engineering disaster risk assessment, disaster early warning and reliable prevention and control. Aiming at the problem of inversion accuracy in the present inversion method of in-situ stress, this paper takes Lanzhou water source construction project as the engineering background, and based on the measured data of the initial in-situ stress in the engineering site. A new method for inversion of initial geostress field of rock mass by combining multiple linear regression method and PSO-BP neural network method is proposed. The main research work of this paper is as follows: (1) the research background of initial in-situ stress is introduced, and the applicability and development trend of in-situ stress measurement methods and techniques at home and abroad are summarized. This paper expounds various methods of inversion and analysis of in-situ stress field and their advantages and disadvantages, and introduces the basic principle of inversion of initial in-situ stress field.) it also introduces the engineering situation and geological conditions of Lanzhou water source engineering area. Based on the measured data of in-situ stress, multivariate linear regression is used. A new inversion method of PSO-BP neural network based on linear regression is proposed for inversion analysis of initial in-situ stress field in Lanzhou water source engineering area by nonlinear regression and other inverse analysis methods. In other words, the sample data are reconstructed based on the results of multiple linear regression geostress inversion, and the in-situ stress inversion based on PSO-BP neural network model is carried out, and the initial in-situ stress field of the water source construction project in Lanzhou City is analyzed by using this method. At the same time, in order to verify the rationality of the new method, the empirical sample data are constructed by using the engineering empirical analogy method. The neural network inversion of initial in-situ stress is also carried out. (4) the calculated values of the initial in-situ stress obtained by the four methods mentioned above are compared with the measured values, and the results are as follows: compared with other methods, The new method proposed in this paper is in good agreement with the measured in-situ stress data in terms of both the in-situ stress value and the directionality, especially in the directionality of the in-situ stress. In this paper, a new PSO-BP neural network method based on linear regression method is proposed, which can take into account the influence of load or displacement modes and deadweight of various geological structures in the inversion of initial geostress field. To avoid errors caused by inexperience in constructing samples in existing methods, in addition, through regression and retrogeneration processes, The disadvantages of artificial factors and randomness of the trial algorithm are avoided and the accurate inversion of the initial geostress field in the engineering area is effectively ensured. The results of this paper can provide an important reference for the inversion of initial geostress field of similar engineering.
【學(xué)位授予單位】：東華理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TV223

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