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Modelling Seismic Hazard in Earthquake Loss Models with Spatially Distributed Exposure

机译:具有空间分布暴露的地震损失模型中的地震危险性建模

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The prediction of possible future losses from earthquakes, which in many cases affect structures that are spatially distributed over a wide area, is of importance to national authorities, local governments, and the insurance and reinsurance industries. Generally, it is necessary to estimate the effects of many, or even all, potential earthquake scenarios that could impact upon these urban areas. In such cases, the purpose of the loss calculations is to estimate the annual frequency of exceedance (or the return period) of different levels of loss due to earthquakes: so-called loss exceedance curves. An attractive option for generating loss exceedance curves is to perform independent probabilistic seismic hazard assessment calculations at several locations simultaneously and to combine the losses at each site for each annual frequency of exceedance. An alternative method involves the use of multiple earthquake scenarios to generate ground motions at all sites of interest, defined through Monte–Carlo simulations based on the seismicity model. The latter procedure is conceptually sounder but considerably more time-consuming. Both procedures are applied to a case study loss model and the loss exceedance curves and average annual losses are compared to ascertain the influence of using a more theoretically robust, though computationally intensive, procedure to represent the seismic hazard in loss modelling.
机译:对地震可能造成的未来损失的预测,在许多情况下会影响在较大范围内空间分布的结构,对于国家主管部门,地方政府以及保险和再保险行业而言,这一点至关重要。通常,有必要估计可能影响这些城市地区的许多甚至所有潜在地震场景的影响。在这种情况下,损失计算的目的是估计由于地震造成的不同损失水平的年度超出频率(或返回期):所谓的损耗超出曲线。生成损失超标曲线的一种有吸引力的选择是在多个位置同时执行独立的概率地震灾害评估计算,并针对每个年度超标频率将每个站点的损失进行合并。一种替代方法涉及使用多个地震场景在所有感兴趣的地点生成地震动,这是通过基于地震活动度模型的蒙特卡罗模拟定义的。从概念上讲,后一种过程更合理,但更耗时。两种方法都应用于案例研究损失模型,并比较损失超额曲线和年平均损失,以确定使用理论上更强健但计算量大的方法来代表损失建模中的地震危险的影响。

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