Rapid tsunami force prediction by mode-decomposition-based surrogate modeling
Rapid tsunami force prediction by mode-decomposition-based surrogate modeling
复制标题
通过基于模式分解的代理建模快速预测海啸力量
DOI：
10.5194/nhess-22-1267-2022
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发表时间：
2022
影响因子：
4.6
通讯作者：
Hiromu Yokosu
中科院分区：
文献类型：
--
作者：
K. Tozato;S. Takase;Shuji Moriguchi;K. Terada;Y. Otake;Y. Fukutani;K. Nojima;M. Sakuraba;Hiromu Yokosu
抽象的。这项研究提出了一个框架，通过应用基于模式分解的代理建模和2D-3D耦合数值模拟来快速预测海啸威力。对故障参数变化的选择情景进行有限数量的大规模数值分析，以捕捉目标风险指标的分布趋势。然后对分析结果进行本征正交分解(POD)，提取代表海啸力时空特征的主振型。然后，通过这些模式的线性组合来构建代理模型，其系数被定义为所选输入参数的函数。通过一个数值算例，验证了该框架对2011年日本东部大地震海啸灾区的适用性。结合二维和三维版本的稳定有限元方法，对不同输入参数进行了一系列高精度的数值分析，得到了一组海啸作用于建筑物和淹没深度的时程数据。POD被应用于数据集，以构建能够几乎即时地提供与模拟结果等价的预测的代理模型。基于所得结果的可接受精度，证实了所提出的框架是用于评估作用于建筑物的水动力时间序列数据的有用工具。
Abstract. This study presents a framework for rapid tsunami force predictions by the application of mode-decomposition-based surrogate modeling with 2D–3D coupled numerical simulations. A limited number of large-scale numerical analyses are performed for selection scenarios with variations in fault parameters to capture the distribution tendencies of the target risk indicators. Then, the proper orthogonal decomposition (POD) is applied to the analysis results to extract the principal modes that represent the temporal and spatial characteristics of tsunami forces. A surrogate model is then constructed by a linear combination of these modes, whose coefficients are defined as functions of the selected input parameters. A numerical example is presented to demonstrate the applicability of the proposed framework to one of the tsunami-affected areas during the Great East Japan Earthquake of 2011. Combining 2D and 3D versions of the stabilized finite element method, we carry out a series of high-precision numerical analyses with different input parameters to obtain a set of time history data of the tsunami forces acting on buildings and the inundation depths. POD is applied to the data set to construct the surrogate model that is capable of providing the predictions equivalent to the simulation results almost instantaneously. Based on the acceptable accuracy of the obtained results, it was confirmed that the proposed framework is a useful tool for evaluating time-series data of hydrodynamic force acting on buildings.
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DOI：
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发表时间：
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期刊：
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发表时间：
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影响因子：
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