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Reliability Analysis of Tailings Dams: A Case Study in Jiangxi Province, China

机译:尾矿坝的可靠性分析-以江西省为例

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A tailings dam is an artificial embankment made of special soil materials derived mainly from mine tailings. Because of the artificial and unique distribution of the soil layers with significant uncertainties of physical-mechanical properties, stability assessments by routine deterministic methods are inadequate. To better assess the stability of tailings dams, a new reliability analysis model combined with support vector machine (SVM) and shear strength reduction (SSR) techniques is proposed. First, an orthogonal design is applied to generate high-quality training samples according to the variability of soil layers. Second, the factors of safety for these samples are obtained by SSR techniques based on the numerical modeling code, FLAC3D. Third, the SVM is applied to deduce the explicit solution of the response surface for reliability analysis. Fourth, a Monte Carlo Simulation (MCS) is performed based on the explicit performance function. The Yongpin tailings dam in Jiangxi Province, China is used as a case history to demonstrate the effectiveness and promise of the proposed methodology.
机译:尾矿大坝是由主要来自矿山尾矿的特殊土壤材料制成的人造堤。由于土壤层的人工和独特分布,具有实际机械性能的显着不确定性,常规确定方法的稳定性评估不足。为了更好地评估尾矿坝的稳定性,提出了一种新的可靠性分析模型,与支持向量机(SVM)和剪切强度减小(SSR)技术相结合。首先,应用正交设计以根据土层的可变性来产生高质量的训练样本。其次,基于数值建模代码,FLAC3D,SSR技术获得了这些样本的安全因素。第三,应用SVM以推导响应面的显式解,以便进行可靠性分析。第四,基于显式性能函数执行蒙特卡罗模拟(MCS)。中国江西省永子尾矿大坝被用作履行拟议方法的有效性和承诺的案例历史。

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