建筑结构学报2017，Vol.38Issue(12)：57-67,11.DOI:10.14006/j.jzjgxb.2017.12.007
适用于我国抗震设计规范的天然强震记录选取
Ground motion recordings selection for seismic design code
摘要
Abstract
With a large number of strong motion records captured over the world every year,the records selection work is often required in structural dynamic analysis nowadays.First,the recordings from U.S.PEER NGA-West1 dataset and Chinese national strong motion observation network system (2007-2015) are collated to construct the dataset for records selection of Chinese seismic design code.The earthquake parameter and scale factor range for each seismic design group in Chinese seismic code are given based on the earthquake data distribution.Then a method is proposed to improve the performance of whole period range matching method by modification of the weight function based on its own error function.The whole procedure of records selection is proposed including the earthquake parameter range,scaling method and results verification.One 12 story and one 3 story 2D RC frame are selected for dynamic time history analysis validation using recordings from the ATC-63 far filed dataset (44 recordings).The maximum inter-story drift ratios of these two structures under different earthquake intensities prediction equations are established.The predicted maximum inter-story drift ratios are compared with the results using different recording selection methods.Considering the proposed method has closer median value and less variability in final results than tradition selection methods.Finally,the selected ground motion recordings for design earthquake spectrum in Chinese seismic code are given for reference considering the commonly used 7,8 and 9 earthquake intensity level,Ⅱ site.关键词
强震记录选取/地震信息/全周期匹配/权重函数优化/抗震规范目标谱Key words
strong ground motion selection/earthquake information/whole period matching/weight function modification/seismic design code target spectrum分类
建筑与水利引用本文复制引用
冀昆,温瑞智,任叶飞..适用于我国抗震设计规范的天然强震记录选取[J].建筑结构学报,2017,38(12):57-67,11.基金项目
国家自然科学基金项目(51308515),公益性地震行业科研专项(201508005),黑龙江省科技基金项目(LC2015022). （51308515）
