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Evaluation of a novel application of earthquake HVSR in site-specific amplification estimation

机译:评估地震HVSR在特定于特特异性扩增估计中的应用

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Ground response analyses (GRA) model the vertical propagations of SH waves through flat-layered media (1DSH) and are widely carried out to evaluate local site effects in practice. Horizontal-to-vertical spectral ratio (HVSR) technique is a cost-effective approach to extract certain site-specific information, e.g., site fundamental frequency (f(0)), but HVSR values cannot be directly used to approximate the levels of S-wave amplifications. Motivated by the work of Kawase et al. (2019), we propose a procedure to correct earthquake HVSR amplitudes for direct amplification estimations. The empirical correction compensates HVSR by generic vertical amplification spectra categorized by the vertical fundamental frequency (f(0v)) via kappa-means clustering. In this investigation, we evaluate the effectiveness of the corrected HVSR in approximating observed linear amplifications in comparison with 1DSH modellings. We select a total of 90 KiK-net (Kiban Kyoshin network) surface-downhole sites which are found to have no velocity contrasts below their boreholes and thus of which surface-to-borehole spectral ratios (SBSRs) can be taken as their empirical transfer functions (ETFs). 1DSH-based theoretical transfer functions (TTFs) are computed in the linear domain considering uncertainties in Vs profiles through randomizations. Five goodness-of-fit metrics are adopted to gauge the closeness between observed (ETF) and predicted (i.e., TTF and corrected HVSR) amplifications in both amplitude and spectral shape over frequencies from f(0) to 25 Hz. We find that the empirical correction to HVSR is highly effective and achieves a "good match" in both spectral shape and amplitude at the majority of the 90 KiK-net sites, as opposed to less than one-third for the 1DSH modelling. In addition, the empirical correction does not require a velocity model, which GRAs require, and thus has great potentials in seismic hazard assessments.
机译:地面响应分析(GRA)通过平面层介质(1DSH)模型SH波的垂直传播,并广泛地进行以评估实践中的局部场地效果。横向垂直光谱比(HVSR)技术是提取特定站点特定信息的经济有效方法,例如,站点基频(F(0)),但是HVSR值不能直接用于近似S的水平。 - 波扩增。 kawase等人的工作。 (2019),我们提出了一种方法来纠正地震HVSR幅度以进行直接扩增估计。经验校正通过垂直基频(F(0V)分类的通用垂直放大光谱通过Kappa-Means群集来补偿HVSR。在这项研究中,我们评估了校正的HVSR在与1DSH发动机的比较中近似观察到的线性放大的有效性。我们选择总共90 kik-net(kiban kyoshin网络)表面井下部位,该井下位点未在它们的钻孔下方没有速度对比,因此可以将表面上钻孔谱比(SBSRS)作为其经验转移来进行功能(ETF)。基于1SH的理论传递函数(TTF)在线域计算,考虑通过随机化的VS配置文件中的不确定性。采用五个拟合优良度量来衡量观察到的(ETF)和预测(即,TTF和校正的HVSR)在幅度和光谱形状中的幅度和频率从F(0)到25Hz的频率之间的频率。我们发现对HVSR的实证校正非常有效,并且在大多数90千克网站的频谱形状和幅度中实现了“良好匹配”,而不是1DSH建模的小于三分之一。此外,经验校正不需要GRAS所需的速度模型,因此具有巨大的地震危害评估潜力。

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