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首页> 外文期刊>Bulletin of the Seismological Society of America >Accounting for Epistemic Uncertainty in Site Effects in Probabilistic Seismic Hazard Analysis
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Accounting for Epistemic Uncertainty in Site Effects in Probabilistic Seismic Hazard Analysis

机译:概率地震危害分析中现场效果的认知不确定性核算

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摘要

A probabilistic seismic hazard analysis performed for rock conditions and modified for soil conditions using deterministic site amplification factors does not account for uncertainty in site effects, which can be significant. One approach to account for such uncertainty is to compute a weighted average amplification curve using a logic tree that accounts for several possible scenarios with assigned weights corresponding to their relative likelihood or confidence. However, this approach can lead to statistical smoothing of the amplification curve and possibly to decreased computed hazard as epistemic uncertainty increases. This is against the expected trend that higher uncertainty leads to higher computed hazard, thus reducing the incentive for practitioners to characterize soil properties at a site. This study proposes a modified approach in which the epistemic uncertainty is captured in a plot of amplification factors versus period. Using a case history, the proposed method is shown to improve the issue with the weighted average method for at least two oscillator periods and to yield similar results for two other periods in which the highlighted issue is less significant.
机译:对于岩石条件进行的概率地震危险性分析,以及使用确定性场地放大系数对土壤条件进行的修改,不考虑场地效应的不确定性,这可能是非常重要的。解释此类不确定性的一种方法是使用逻辑树计算加权平均放大曲线,该逻辑树解释了几个可能的场景,并分配了与其相对可能性或置信度相对应的权重。然而,这种方法可以导致放大曲线的统计平滑,并可能随着认知不确定性的增加而降低计算风险。这与预期趋势相反,即更高的不确定性会导致更高的计算风险,从而降低从业人员描述现场土壤特性的动机。本研究提出了一种改进的方法,将认知不确定性捕捉到放大因子与周期的关系图中。通过一个案例,所提出的方法被证明在至少两个振荡器周期内改善了加权平均法的问题,并在突出显示的问题不太显著的另外两个周期产生了类似的结果。

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