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以济南绕城高速老虎山超大断面隧道为工程依托,借助CAE Sirovision双目立体摄影量测系统,快速实现掌子面区域岩体结构面信息的数字化表征及其概率分布模型的获取,以蒙特卡洛方法生成大量随机数,并使之符合其对应的概率分布函数,基于《工程岩体分级标准》中各评定标准,获取对应的随机分值,经统计分析得出各岩体水平计算结果的分布概型,由此对岩体质量进行了可靠评估,研究结果对该隧道施工工法转换、支护参数优化等提供了理论支撑。
Based on the project of high-speed Tiger Mountain super-section tunnel in Jinan Ring Expressway, with CAE Sirovision binocular stereo photography measurement system, the digital characterization of rock face structure information and its probability distribution model can be quickly realized. Luo method to generate a large number of random numbers, and make it consistent with its corresponding probability distribution function, based on “Criteria for Engineering Rock Massing” in the assessment criteria to obtain the corresponding random score, the statistical analysis of the calculated results of the rock level Which can provide reliable support for the quality of rock mass. The research results provide theoretical support for the conversion of tunnel construction method and the optimization of support parameters.