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本文基于日本KiK-Net,K-Net台网及汶川地震中6 000余条浅壳与上地幔地震竖向加速度记录,分场地类型建立了包含阻尼比和谱周期两个参数的阻尼修正系数模型,用以调整无震级和震源距信息的设计谱。基于固定效应模型对阻尼修正系数对数值及阻尼比对数值的三次多项式进行线性回归得到模型表达式,基于随机效应模型对阻尼修正系数模型的残差及残差的标准差进行分离,分析震源、路径以及场地效应对模型误差的影响。研究结果表明:高阻尼长周期震源效应引起的残差大于其他效应引起的残差;场地效应引起的残差小于其他效应引起的残差。对模型残差的标准差及阻尼比对数值进行线性回归,回归方程易于计算模型残差的标准差。 相似文献
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论述了水氡观测仪器在标定中应注意的问题,提出了在标定过程中,固体氡放射源与待标仪器的连接方式及吸源时间以多长为最佳的问题。报告建议为减少标准源的外在损失,提高K值的标定精度,在标定仪器时尽可能地采用图6的连接方式和严控或适当缩短吸源的时间。 相似文献
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Jos M. Carcione 《Geophysical Prospecting》1998,46(3):249-270
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For designing a structure to withstand the effects of strong earthquake ground motions, it is necessary to characterize the type of motion that probably affects the structure. The strong-motion accelerograms contain numerous data regarding the source, path, and receiver. Variables such as the Richter magnitude, hypocenter depth, duration of the event, and focal mechanism relate to the source. The soil parameter and distance to epicenter, relate to the path. The application of autoregressive moving average (ARMA) process in modeling an earthquake accelerogram of three different regions of Iran reveals a formulation, which relates the physical variables via a regression analysis. In order to generate time history data of a probable future earthquake, it is recommended to use the regression equations for a specific type of earthquake focal mechanism if the future earthquake mechanism and physical variables are known; otherwise, regional equations are more suitable. 相似文献
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