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Generation and verification of three-dimensional network of fractured rock masses stochastic discontinuities based on digitalization

机译:基于数字化的裂隙岩体随机不连续性三维网络的生成与验证

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摘要

Accuracy of seepage simulation in rock masses is directly influenced by related geometrical parameters of DFN (discrete fracture network) models. In this paper a well-planned investigation of rock mass discontinuities was conducted on well-exposed outcrops in Beishan (Gansu province), one of the main candidate sites for the Chinese high-level radioactive waste repository using digital techniques, e.g. global positioning system, close range digital photogrammetry and geographical information system. This allows for very efficient collection of large volumes of data, over 10,000 discontinuities were obtained at the study site (Jijicao block), based on statistical parameters two homogeneities were identified, and the dominant sets were also delineated, which suggested that two sets exist in homogeneity I, while three sets in homogeneity II. In homogeneity I, The optimal fracture diameter probability distributions of both sets were lognormal. Three-dimensional stochastic DFN models were established for both homogeneities based on stochastic process as well as statistical parameters. The reliability of the model was validated by both graphical and numerical methods. Results showed that: digital techniques used in this study can overcome the problem of sample size and precision restriction posed by traditional methods, which leads to a more effective application of DFN model, and are thus suitable for tasks such as detailed mapping of rock masses in large area. It is believed that this verified DFN model is more appropriate for subsequent calculations of mechanical properties and seepage of fractured rock masses.
机译:岩体中渗流模拟的准确性直接受到DFN(离散裂缝网络)模型的相关几何参数的影响。本文对北山(甘肃省)暴露良好的露头进行了精心计划的岩体不连续性调查,这是中国高放废物处置库使用数字技术的主要候选地点之一,例如全球定位系统,近距离数字摄影测量和地理信息系统。这样可以非常有效地收集大量数据,在研究现场(集极草区块)获得了10,000个以上的不连续性,并根据统计参数确定了两个同质性,并确定了优势集,这表明存在两个集。同质性I,而同质性II中有三套。在同质性I中,两组的最佳断裂直径概率分布均为对数正态分布。建立了基于随机过程和统计参数的均匀性的三维随机DFN模型。该模型的可靠性通过图形和数值方法进行了验证。结果表明:本研究中使用的数字技术可以克服传统方法带来的样本量大和精度受限的问题,从而可以更有效地应用DFN模型,因此适合于岩体的详细测绘等工作。大面积。可以相信,这种经过验证的DFN模型更适合于随后的力学性能和裂隙岩体渗流的计算。

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