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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/84396


    Title: 水力內寬不確定性:影響因子與現地資料分析方法之探討
    Authors: 林怡君;Lin, Yi-Chun
    Contributors: 應用地質研究所
    Keywords: 人工合成水力內寬;現地水力內寬量測;不確定性;統計分析;Barton-Bandis 模式;深度;岩性;位態;不連續面粗糙係數;不連續面壁面強度;synthetic hydraulic aperture;in-situ measurement;uncertainty;statistical analysis;Barton-Bandis model;depth;lithology;orientation;JRC;JCS
    Date: 2020-07-24
    Issue Date: 2020-09-02 19:17:34 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 不連續面水力內寬為評估岩盤中流體傳輸能力的重要參數,然而工程實務中對於現地不連續面水力內寬的量測值卻不多,因此,放射性廢棄物最終處置安全評估之地下水流場分析即具有不確定性。為了解不同資料統計分析方法對水力內寬不確定性之影響,本研究根據特定場址(砂岩與硬頁岩出露地區)蒐集所得資料,假設岩盤不連續面之合理參數統計分布條件,隨機生成不同岩性不連續面的位態、不連續面粗糙係數(Joint Roughness Coefficient, JRC)及不連續面壁面強度(Joint Compressive Strength, JCS),並採Barton-Bandis模式,在合理現地應力條件下,生成力學內寬資料組後,再藉由經驗式將力學內寬轉換成水力內寬,進而完成人工合成案例之水力內寬資料生成;本研究亦蒐集一現地案例之水力內寬量測資料進行不確定性分析研究。
    根據人工合成案例及現地案例測試結果,水力內寬之機率密度分布符合對數常態分布,工程實務不宜直接假設水力內寬為常態分布進行資料統計。分析資料時若不考慮影響因子(如:深度、岩性、裂隙特性…),水力內寬的標準差最大,隨著考慮不同岩性分開統計、水力內寬隨深度減小,統計所得標準差也逐漸下降,而多變量分析中,同時考慮岩性、深度、不連續面之傾角、JRC與JCS時,統計所得標準差會降至最小,根據立方律,其導水係數標準差為不考慮任何影響因子標準差的0.56%。在現地案例的分析結果中,當考慮水力內寬隨著深度變深而減小的趨勢時,同樣顯示出不確定性的顯著降低。
    ;Hydraulic aperture of joints is an important parameter for estimating the fluid flow capability of rock mass. However, the measurements of hydraulic apertures are not common and uncertainty encountered accordingly in the groundwater flow modelling for safety assessment of the radioactive waste final disposal. A synthetic hydraulic aperture dataset was used to evaluate the statistical characteristics of hydraulic apertures via different analysis methods. First of all, reasonable statistical distributions of different parameters of joints (joint roughness coefficient JRC, joint compressive strength JCS, and joint orientation) are assumed according to the data collected from specific sites where the sandstone and argillite outcropped. Secondly, the joints with different orientation, JRC and JCS are randomly generated on the basis of different lithology (sandstone and argillite) at different depth. Thirdly, the Barton-Bandis model was used to calculate the mechanical apertures of each joint under assigned in-situ stresses. Finally, synthetic hydraulic aperture dataset can be obtained according to the mechanical aperture and empirical function described the relation between hydraulic and mechanical apertures. In addition to the synthetic case, we collected a real case where the hydraulic apertures at different depth are available.
    According to the testing results of synthetic case and real case, the probability density distribution of the hydraulic aperture conforms to the lognormal distribution. In engineering practice, a normal distribution assumption of hydraulic apertures could be problematic. The standard deviations of the hydraulic apertures are largest when the influence of depth, lithology, and joint characteristics (joint orientation, JRC and JCS) is neglected. When the hydraulic apertures of different lithology were separately analyzed, the uncertainty dropped. If the decreasing trend of hydraulic apertures with depth was considered, the uncertainty dropped further. When the multivariate regression analysis model considering the depth and joint characteristics was used to analysis the synthetic hydraulic apertures of sandstone and argillite separately, the standard deviation is the lowest among others. According to the cubic law, the standard deviation of the joint transmissivity can be reduced to 0.56% of the one where neglecting all of the influential factors when making statistical analysis of the synthetic hydraulic fracture. The analysis result of real case also shows a significant reduced uncertainty when the decreasing trend of hydraulic apertures with increasing depth was considered.
    Appears in Collections:[應用地質研究所] 博碩士論文

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