Engineering random ground motion database for recorded and simulated ground motions
DING Yanqiong1, LI Jie2,3, PENG Yongbo4
1.College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China;
2.College of Civil Engineering, Tongji University, Shanghai 200092, China;
3.State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China;
4.Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China
Abstract:Seven thousand seven hundred and seventy eight recorded horizontal accelerations from one hundred and fifty six earthquakes were collected and analyzed. The recorded ground motions are divided into twelve groups using the method of cluster analysis, based on energy distribution and magnitude-distance, respectively. The grouped ground motions are used to build the database of recorded ground motions. The superposition method of narrow-band wave groups is used to simulate stochastic ground motions. Twenty four groups of ground motions, including twelve small groups and twelve large groups, which are different in site type, magnitude and propagation distance, are simulated based on the physical model of stochastic earthquake ground motions for engineering purpose. There are one hundred simulated ground motions in each group of small groups, and three hundred simulated ground motions in each group of large groups. The four thousand eight hundred simulated ground motions are used to build the database of simulated ground motions. The Windows-based database of stochastic earthquake ground motions for engineering purpose is developed using the recorded ground motions and simulated ground motions. The database achieves the following functions: searching ground motions, visualization and downloading of ground motion time histories, response spectra and related information of the earthquake ground motion.
丁艳琼1,李杰2,3,彭勇波4. 面向地震动记录和模拟地震动的工程随机地震动数据库研究[J]. 振动与冲击, 2021, 40(5): 143-148.
DING Yanqiong1, LI Jie2,3, PENG Yongbo4. Engineering random ground motion database for recorded and simulated ground motions. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(5): 143-148.
[1] 李杰, 李国强. 地震工程学导论 [M]. 北京: 地震出版社, 1992.
LI Jie, LI Guo-qiang. Introduction to earthquake engineering [M]. Beijing: Seismological Press,1992.
[2] CHIOU B, DARRAGH R, GREGOR N, et al. NGA project strong-motion database [J]. Earthquake Spectra, 2008, 24(1): 23-44.
[3] Power M, Chiou B, Abrahamson N, et al. An overview of the NGA project [J]. Earthquake spectra, 2008, 24(1): 3-21.
[4] Bozorgnia Y, Abrahamson N A, Atik L A, et al. NGA-West2 research project [J]. Earthquake Spectra, 2014, 30(3): 973-987.
[5] Ancheta T D, Darragh R B, Stewart J P, et al. NGA-West2 database. Earthquake Spectra, 2014, 30(3): 989-1005.
[6] Okada Y, Kasahara K, Hori S, et al. Recent progress of seismic observation networks in Japan—Hi-net, F-net, K-NET and KiK-net [J]. Earth, Planets and Space, 2004, 56(8): xv-xxviii.
[7] Aoi S, Kunugi T, Nakamura H, et al. Deployment of new strong motion seismographs of K-NET and KiK-net. Earthquake data in engineering seismology [M]. Springer, Dordrecht, 2011: 167-186.
[8] 丁艳琼,李杰. 基于能量分布的地震动聚类与反应谱特征周期的确定 [J]. 同济大学学报(自然科学版), 2017, 45(10): 1415-1420.
DING Yan-qiong, LI Jie. Ground motion clustering method based on energy distribution and determination of characteristic periods [J]. Journal of Tongji University (Natural Science), 2017, 45(10): 1415-1420.
[9] 丁艳琼,李杰. 工程随机地震动物理模型的参数识别与统计建模 [J]. 中国科学:技术科学, 2018, 48(12): 1422-1432.
DING Yan-qiong, LI Jie. Parameters identification and statistical modelling of physical stochastic model of seismic ground motion for engineering purposes[J]. Scientia Sinica Technologica., 2018, 48(12):1422-1432.
[10] 建筑抗震设计规范: GB50011-2010 [S]. 北京: 中国建筑工业出版社, 2016.
Code for seismic design of buildings: GB 50011—2010 [S]. Beijing: China Architecture & Building Press,2010.
[11] Ding Y, Peng Y, Li J. Cluster analysis of earthquake ground-motion records and characteristic period of seismic response spectrum [J]. Journal of Earthquake Engineering, 2018: 1-22.
[12] Wang D, Li J. Physical random function model of ground motions for engineering purposes [J]. Science China Technological Sciences, 2011, 54(1): 175-182.
[13] 宋萌. 工程随机地震动物理模型研究 [D]. 上海: 同济大学, 2013.
SONG Meng. Studying random function model of seismic ground motion for engineering purposes [D]. Shanghai: Tongji University, 2013.
[14] Ding Y, Peng Y, Li J. A stochastic semi-physical model of seismic ground motions in time domain [J]. Journal of Earthquake and Tsunami, 2018, 12(03): 1850006.
[15] Trifunac M D. Response envelope spectrum and interpretation of strong earthquake ground motion [J]. Bulletin of the Seismological Society of America, 1971, 61(2): 343-356.
[16] 廖振鹏. 工程波动理论导论 [M]. 北京: 科学出版社, 2002.
LIAO Zhen-peng. Introduction to wave motion theories in engineering [M]. Beijing: Science press, 2002.
[17] Chen J, Yang J, Li J. A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters [J]. Structural Safety, 2016, 59: 20-31.
[18] 中国地震动参数区划图: GB18306-2015 [S]. 北京: 中国建筑工业出版社, 2015.
Seismic ground motion parameters zonation map of China: GB 18306-2015 [S]. Beijing: China Architecture & Building Press,2010.