论文部分内容阅读
0引言获得一个含时的全面可靠的预期地震动特征,对于制定有效的减灾对策和提高备灾能力至关重要。然而预测地震和相关的地面震动不是一件容易的事情,它需要对有限大小和不同精度的数据集小心地使用统计学方法来确定。如今被工程界公认的方法是单独使用标准危险指数估计[例如,地震动峰值加速度(PGA)],这对于特定建筑和基础设施的针对性设计是不够的。并且,对于任何一个地震危险性分析(SHA)的有效工具,
0 INTRODUCTION Achieving a comprehensive, reliable and predictable seismic response with timeliness is essential for developing effective disaster mitigation strategies and improving disaster preparedness. However, predicting earthquakes and related ground vibrations is not an easy task, and it requires careful statistical methods to determine data sets of finite size and different accuracies. Today’s accepted method in the industry is to use a standard risk index estimate alone (for example, peak ground motion acceleration (PGA)], which is not sufficient for a targeted design for a particular building and infrastructure. And, for any effective seismic hazard analysis (SHA) tool,