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An equation-discovery approach to earthquake-ground-motion prediction

机译:地震地震动预测的方程发现方法

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In active seismic regions an earthquake's peak ground acceleration (PGA) is required information when designing a building. In this study we employ the state-of-the-art, Lagramge, equation-discovery system to induce an equation that is suitable for modeling the PGA and investigate its applicability. In contrast to traditional modeling techniques the Lagramge system does not presume the structure of the equation and then identify the parameter values; instead, it finds the equation's structure as well. From the large amount of background knowledge on earthquake engineering we formalize a context-free grammar, which is then used as a guideline for the equation-building procedure. The PF-L data set used for the experiments is taken from the study of Perus and Fajfar (2010), which is based on the data sets of Chiou et al. (2008) in the project Next Generation Attenuation of Ground Motion and the study of Akkar and Bommer (2010). The best model derived from the grammar is then quantitatively and qualitatively evaluated and compared. The presented results support the proposal to use an equation-discovery tool as an aid to the PGA modeling work and to potentially contribute new knowledge to the field of earthquake engineering.
机译:在活动的地震区域中,设计建筑物时需要提供地震的峰值地面加速度(PGA)。在这项研究中,我们采用最先进的Lagramge方程发现系统来推导适用于PGA建模的方程,并研究其适用性。与传统的建模技术相比,Lagramge系统不假定方程式的结构,而是识别参数值。相反,它也找到方程的结构。从大量的地震工程学背景知识中,我们将无上下文语法正式化,然后将其用作方程式构建过程的指南。实验中使用的PF-L数据集取自Perus和Fajfar(2010)的研究,该研究基于Chiou等人的数据集。 (2008年)在下一代地面运动衰减研究中以及Akkar和Bommer的研究(2010年)中。然后对从语法中得出的最佳模型进行定量和定性评估和比较。提出的结果支持使用方程发现工具作为PGA建模工作的辅助手段,并有可能为地震工程领域贡献新知识。

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