本文選題：巖體質(zhì)量　切入點(diǎn)：均質(zhì)區(qū)劃分　出處：《南京理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：工程巖體質(zhì)量是影響高放廢物地質(zhì)處置工程長(zhǎng)期穩(wěn)定性和安全性的關(guān)鍵性因素,本文以甘肅北山預(yù)選區(qū)花崗巖巖體為研究對(duì)象,基于現(xiàn)場(chǎng)不連續(xù)面調(diào)查和實(shí)驗(yàn)資料,對(duì)北山芨芨槽塊段各測(cè)區(qū)的巖體質(zhì)量空間分布特征進(jìn)行了研究。本文的主要研究?jī)?nèi)容與結(jié)論如下：(1)對(duì)原始不連續(xù)面采樣數(shù)據(jù)進(jìn)行了必要的前期預(yù)處理,然后基于Miller法原理,采用改進(jìn)的91格大數(shù)目塊網(wǎng)實(shí)現(xiàn)了對(duì)不滿足Lancaster準(zhǔn)則的情形的自適應(yīng)分析與處理,從而得到了與實(shí)際地質(zhì)條件及空間分布特征相吻合的均質(zhì)區(qū)劃分結(jié)果。(2)在總結(jié)已有產(chǎn)狀分組聚類分析方法的基礎(chǔ)上,對(duì)傳統(tǒng)快速聚類算法進(jìn)行了優(yōu)化：根據(jù)最大密點(diǎn)原則對(duì)初始聚類中心進(jìn)行了有效地確定；利用隸屬度概念對(duì)產(chǎn)狀矩陣進(jìn)行了合理地優(yōu)化；結(jié)合Xie-Beni指標(biāo)對(duì)最優(yōu)分組數(shù)進(jìn)行了科學(xué)地判別；依據(jù)隸屬度差異對(duì)隨機(jī)離散裂隙進(jìn)行了實(shí)時(shí)地剔除。以上優(yōu)化算法進(jìn)一步減小了聚類分析過(guò)程中可能存在的誤差,從而保證了北山各測(cè)區(qū)產(chǎn)狀優(yōu)勢(shì)分組結(jié)果的科學(xué)性與可靠性。(3)針對(duì)節(jié)理裂隙圖像的特點(diǎn),對(duì)傳統(tǒng)Canny算法中的圖像濾波、梯度計(jì)算、非極大值抑制及雙閩值檢測(cè)分別進(jìn)行了優(yōu)化,從而實(shí)現(xiàn)了對(duì)節(jié)理裂隙圖像邊緣信息的有效提��；在此基礎(chǔ)上,根據(jù)量規(guī)法分維數(shù)計(jì)算原理,編程實(shí)現(xiàn)了對(duì)節(jié)理裂隙表面輪廓曲線分形維數(shù)的自動(dòng)化計(jì)算,并建立了此分形維數(shù)與Barton粗糙度系數(shù)JRC間的量化關(guān)系。(4)以Q系統(tǒng)分級(jí)法為基礎(chǔ),結(jié)合北山地區(qū)的現(xiàn)場(chǎng)實(shí)測(cè)數(shù)據(jù)資料,對(duì)影響巖體質(zhì)量的各主要參數(shù)進(jìn)行了統(tǒng)計(jì)分析,并基于貝葉斯網(wǎng)絡(luò)原理,利用Netica軟件構(gòu)建了相應(yīng)的巖體質(zhì)量評(píng)價(jià)風(fēng)險(xiǎn)分析模型,并對(duì)所建模型進(jìn)行了應(yīng)用和驗(yàn)證。
[Abstract]:The quality of engineering rock mass is the key factor to affect the long-term stability and safety of the geological disposal project of high-level radioactive waste. In this paper, the granite rock mass in Beishan preelection area of Gansu Province is taken as the research object, based on the field discontinuous surface investigation and experimental data. The spatial distribution characteristics of rock mass quality in each area of Beishan Jiji trough block are studied. The main contents and conclusions of this paper are as follows: 1) the necessary pre-processing of the original discontinuous surface sampling data is carried out, and then based on the principle of Miller method, An improved 91-lattice block network is used to realize adaptive analysis and processing for cases which do not satisfy the Lancaster criterion. Thus, the results of homogeneous area division consistent with the actual geological conditions and spatial distribution characteristics are obtained. Based on the conclusion of the existing cluster analysis methods of occurrence, The traditional fast clustering algorithm is optimized: the initial clustering center is effectively determined according to the maximum dense point principle, and the production matrix is reasonably optimized by using the concept of membership degree. Based on the Xie-Beni index, the optimal grouping number is scientifically judged, and the random discrete cracks are eliminated in real time according to the membership degree difference. The above optimization algorithm further reduces the possible errors in the clustering analysis process. Therefore, the scientific and reliability of the predominance grouping results of occurrence in the Beishan area are ensured. According to the characteristics of the joint fracture image, the image filtering, gradient calculation, non-maximum suppression and double threshold detection in the traditional Canny algorithm are optimized respectively. On the basis of this, according to the principle of fractal dimension calculation of gauge method, the automatic calculation of fractal dimension of joint fracture surface contour curve is realized by programming. The quantitative relationship between the fractal dimension and the Barton roughness coefficient (JRC) is established. Based on the Q system classification method and the field measured data in Beishan area, the main parameters affecting the rock mass quality are statistically analyzed. Based on the principle of Bayesian network, the corresponding risk analysis model of rock mass quality evaluation is constructed by using Netica software, and the model is applied and verified.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU45

【引證文獻(xiàn)】

相關(guān)會(huì)議論文 前1條

1 王岐;;用伸長(zhǎng)率R確定巖石節(jié)理粗糙度系數(shù)的研究[A];地下工程經(jīng)驗(yàn)交流會(huì)論文選集[C];1982年

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本文編號(hào)：1633472