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Scalable multicase urban earthquake simulation method for stochastic earthquake disaster estimation

机译:随机地震灾害估算的可扩展多种城市地震仿真方法

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High-resolution urban earthquake simulations are expected to be useful for improving the reliability of the estimates of damage due to future earthquakes. However, current high-resolution simulation models involve uncertainties in their inputs. An alternative is to apply stochastic analyses using multicase simulations with varying inputs. In this study, we develop a method for simulating the responses of ground and buildings to many earthquakes. By a suitable mapping of computations among computation cores, the developed program attains 97.4% size-up scalability using 320,000 processes (40,000 nodes) on the K computer. This enables the computation of more than 1,000 earthquake scenarios for 0.25 million structures in central Tokyo.
机译:预计高分辨率城市地震模拟将有助于提高由于未来地震因损坏估计的可靠性有用。然而,目前的高分辨率仿真模型涉及其输入中的不确定性。替代方案是使用具有不同输入的多个模拟应用随机分析。在这项研究中,我们开发了一种模拟地面和建筑物对许多地震的响应的方法。通过适当的计算核心之间的计算映射,开发的程序在K计算机上使用320,000个进程(40,000个节点)来获得97.4%的大小可扩展性。这使得在东京中部的0.25亿结构中计算超过1,000个地震场景。

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