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Extension of Hassan and Wolff method for system reliability analysis of soil slopes

机译:Hassan和Wolff方法的扩展在土质边坡系统可靠度分析中的应用

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While a soil slope may have a large number of potential slip surfaces, its system failure probability is usually governed by a few representative slip surfaces due to the high correlation between factors of safety (FOS) of different slip surfaces. This paper shows that, despite its embedded empiricism, the Hassan and Wolff method can identify with reasonable accuracy not only the most critical slip surface, but also representative slip surface for system reliability analysis. In the Hassan and Wolff method, the assumed distribution of FOS has important effect on the calculated failure probability and it is not appropriate to always assume FOS is lognormally distributed. Whether the system effect in a slope reliability analysis is obvious can be judged easily by comparing the values of reliability index of different representative slip surfaces. Combined with the response surface method, the Hassan and Wolff method can be extended into a practical tool for system reliability analysis utilizing existing deterministic slope stability analysis programs. A simple equation is provided to estimate the bounds of system failure probability based on the most critical slip surface.
机译:尽管土质边坡可能具有大量潜在的滑动面,但由于不同滑动面的安全系数(FOS)之间的高度相关性,其系统故障概率通常由少数代表性滑动面控制。本文表明,尽管具有嵌入式经验,但Hassan和Wolff方法不仅可以合理准确地识别最关键的滑动面,而且可以识别用于系统可靠性分析的代表性滑动面。在Hassan和Wolff方法中,假设的FOS分布对计算出的失效概率有重要影响,因此始终假设FOS是对数正态分布是不合适的。通过比较不同代表滑移面的可靠度指标的值,可以容易地判断边坡可靠度分析中的系统效果是否明显。结合响应面方法,可以将Hassan和Wolff方法扩展为使用现有确定性边坡稳定性分析程序进行系统可靠性分析的实用工具。提供了一个简单的方程式,用于基于最关键的滑动面来估计系统故障概率的范围。

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