By using the technique for evolutionary power spectrum proposed by Nakayama and with reference to the Kameda formula, an evolutionary spectrum prediction model for given earthquake magnitude and distance is establishe...By using the technique for evolutionary power spectrum proposed by Nakayama and with reference to the Kameda formula, an evolutionary spectrum prediction model for given earthquake magnitude and distance is established based on the 80 near-source acceleration records at rock surface with large magnitude from the ground motion database of western U.S.. Then a new iteration method is developed for generation of random accelerograms non-stationary both in amplitude and frequency which are compatible with target evolutionary spectrum. The phase spectra of those simulated accelerograms are also non-stationary in time and frequency domains since the interaction between amplitude and phase angle has been considered during the generation. Furthermore, the sign of the phase spectrum increment is identified to accelerate the iteration. With the proposed statistical model for predicting evolutionary power spectra and the new method for generating compatible time history, the artificial random earthquake accelerograms non-stationary both in amplitude and frequency for certain magnitude and distance can be provided.展开更多
Google Earth(GE)作为一款流行的三维虚拟地球软件,可以方便直观地显示电网地理信息系统(GIS)信息。针对基于GE进行电力系统GIS建设的问题,阐述了GE这款软件的特点,详细介绍了它应用于电力GIS的优势。基于GE支持的数据格式为KML的情况,...Google Earth(GE)作为一款流行的三维虚拟地球软件,可以方便直观地显示电网地理信息系统(GIS)信息。针对基于GE进行电力系统GIS建设的问题,阐述了GE这款软件的特点,详细介绍了它应用于电力GIS的优势。基于GE支持的数据格式为KML的情况,把电力系统GIS相关数据转化为KML格式。研究结果表明:基于GE能够实现电网地理信息、电网调度信息,以及电网规划信息的可视化显示。展开更多
基金Key Program of the National Natural Science Foundation of China (90510017)
文摘By using the technique for evolutionary power spectrum proposed by Nakayama and with reference to the Kameda formula, an evolutionary spectrum prediction model for given earthquake magnitude and distance is established based on the 80 near-source acceleration records at rock surface with large magnitude from the ground motion database of western U.S.. Then a new iteration method is developed for generation of random accelerograms non-stationary both in amplitude and frequency which are compatible with target evolutionary spectrum. The phase spectra of those simulated accelerograms are also non-stationary in time and frequency domains since the interaction between amplitude and phase angle has been considered during the generation. Furthermore, the sign of the phase spectrum increment is identified to accelerate the iteration. With the proposed statistical model for predicting evolutionary power spectra and the new method for generating compatible time history, the artificial random earthquake accelerograms non-stationary both in amplitude and frequency for certain magnitude and distance can be provided.
