海底长周期地震动预测模型:以日本相模湾海域为例

田浩1,2,3,胡进军1,2,谭景阳1,2,靳超越3,刘名吉1,2

振动与冲击 ›› 2024, Vol. 43 ›› Issue (5) : 188-201.

PDF(7847 KB)
PDF(7847 KB)
振动与冲击 ›› 2024, Vol. 43 ›› Issue (5) : 188-201.
论文

海底长周期地震动预测模型:以日本相模湾海域为例

  • 田浩1,2,3,胡进军1,2,谭景阳1,2,靳超越3,刘名吉1,2
作者信息 +

Long-period ground motion prediction model for submarine: a case study of Sagami Bay area in Japan

  • TIAN Hao1,2,3,HU Jinjun1,2,TAN Jingyang1,2,JIN Chaoyue3,LIU Mingji1,2
Author information +
文章历史 +

摘要

地震动反应谱预测模型是地震危险性分析的基础,基于日本K-NET台网相模湾地区的892组海域地震动数据和4033组陆域地震动数据,考虑震级、震源距、震源深度以及震源类型和场地,建立了PGA和0.05~15.0 s的海域地震动加速度反应谱预测模型。通过残差分析以及相关性分析检验了模型的合理性,并分析了震源类型以及震源深度对反应谱的影响,对比了海陆地震动预测模型的差异。结果表明:震源类型以及震源深度对模型预测结果影响显著,水平向海域模型以及长周期(T>1.0 s)竖向海域模型所预测反应谱大于陆域模型所预测的反应谱值,且水平向和长周期竖向模型的场地放大系数均大于1。本模型可为长周期海域地震动模型的建立和概率地震危险性分析提供参考,为长周期海域工程的抗震设防提供依据。

Abstract

The prediction model of ground motion response spectrum is the foundation of seismic hazard analysis.Here,based on 892 sets of offshore ground motion records and 4 033 sets of onshore ground motion records from Japanese K-NET network in Sagami Bay area,considering magnitude, hypocentral distance,focal depth as well as source type and site, the prediction models of peak ground acceleration (PGA) and acceleration response spectra (SAs) at 0.05-15.0 s of offshore ground motion were established. The rationality of models was verified with residual analysis and correlation analysis,and effects of source type and focal depth on response spectra were analyzed.Differences between offshore and onshore ground motion prediction models were compared.The results show that source type and focal depth affect the models’ prediction results significantly; SAs predicted using the horizontal offshore model and the long-period (T≥10 s) vertical offshore model are larger than those predicted using the onshore model,and site amplification coefficients of the horizontal model and the long-period vertical model are both larger than 1.The established model can provide a reference for establishing long-period offshore ground motion models and probabilistic seismic hazard analyses,and provide a basis for aseismic fortification of long-period offshore engineering projects. 

关键词

海域地震动 / 长周期地震动 / 预测模型 / 随机效应模型 / 海域工程

Key words

offshore ground motions / long-period ground motion / prediction model / random effect model / marine engineering

引用本文

导出引用
田浩1,2,3,胡进军1,2,谭景阳1,2,靳超越3,刘名吉1,2. 海底长周期地震动预测模型:以日本相模湾海域为例[J]. 振动与冲击, 2024, 43(5): 188-201
TIAN Hao1,2,3,HU Jinjun1,2,TAN Jingyang1,2,JIN Chaoyue3,LIU Mingji1,2. Long-period ground motion prediction model for submarine: a case study of Sagami Bay area in Japan[J]. Journal of Vibration and Shock, 2024, 43(5): 188-201

参考文献

[1] Cabinet Office, Government of Japan. White paper on disaster management 2019 [R]. Tokyo: 2019. [2] 胡进军, 刁红旗, 谢礼立. 海底强地震动观测及其特征的研究进展[J]. 地震工程与工程振动, 2013, 33(6): 1-8. Hu Jinjun, Diao Hongqi, Xie Lili. Review of observation and characteristics of seafloor strong motion [J]. Journal of Earthquake Engineering and Engineering Vibration, 2013, 33(6): 1-8. [3] 胡进军, 田浩, 谭景阳, 等. 海域和陆域地震动输入能量与强度指标相关性[J/OL].哈尔滨工业大学学报, 2022 Hu Jinjun, Tian Hao, Tan Jingyan, et al. Correlation between input energy and intensity measures of offshore and onshore ground motions [J/OL]. Journal of Harbin Institute of Technology, 2022. [4] Nakamura T, Takenaka H, Okamoto T, et al. Long-period ocean-bottom motions in the source areas of large subduction earthquakes [J]. Scientific Reports, 2015, 5, 1–2. [5] Diao H Q, Hu J J, Xie L L. Effect of seawater on incident plane P and SV waves at ocean bottom and engineering characteristics of offshore ground motion records off the coast of southern California, USA [J]. Earthquake Engineering and Engineering Vibration, 2014, 13(2), 181–194. [6] Koketsu K, Miyake H. A seismological overview of long-period ground motion [J]. Journal of Seismology, 2008, 12(2), 133–143. [7] Dhakal Y P, Kunugi T, Suzuki W, et al. Strong motions on land and ocean bottom: Comparison of horizontal PGA, PGV, and 5% damped acceleration response spectra in northeast japan and the japan trench area [J]. Bulletin of the Seismological Society of America, 2021, 111(6), 3237–3260. [8] Zhang Q, Zheng X Y. Offshore earthquake ground motions: Distinct features and influence on the seismic design of marine structures [J]. Marine Structures, 2019, 65(August 2018), 291–307. [9] Chen B K, Wang D S, Li H N, et al. Vertical-to-horizontal response spectral ratio for offshore ground motions: Analysis and simplified design equation [J]. Journal of Central South University, 2017, 24(1), 203–216. [10] Chen B K, Wang D S, Li H N, et al. Characteristics of earthquake ground motion on the seafloor [J]. Journal of Earthquake Engineering, 2015, 19(6), 874–904. [11] Dhakal Y P, Aoi S, Kunugi T, et al. Assessment of nonlinear site response at ocean bottom seismograph sites based on S-wave horizontal-to-vertical spectral ratios: A study at the Sagami Bay area K-NET sites in Japan [J]. Earth, Planets and Space, 2017, 69(1):1-7. [12] 谭景阳,胡进军,谢礼立. 海域地震动长周期特性及其强度指标研究[J].振动与冲击,2021,40(03):1-9+27. Tan Jingyang, Hu Jinjun, Xie Lili. Long-period characteristics of offshore ground motion and its and intensity index [J]. Journal of Vibration and Shock, 2021,40(03):1-9+27. [13] Kubo H, Nakamura T, Suzuki W, et al. Ground-motion characteristics and nonlinear soil response observed by donet1 seafloor observation network during the 2016 southeast off-Mie, Japan, Earthquake [J]. Bulletin of the Seismological Society of America, 2019, 109(3), 976–986. [14] 陈苏, 周越, 李小军, 等. 近海域地震动的时频特征与工程特性 [J]. 振动与冲击, 2018, 37(16): 227-233. Chen Su, Zhou Yue, Li Xiaojun, et al. Time-frequency and engineering characteristics on offshore ground motion [J]. Journal of Vibration and Shock, 2018, 37(16): 227-233. [15] Todoriki M, Furumura T, Maeda T. Effects of sea water on elongated duration of ground motion as well as variation in its amplitude for offshore earthquakes [J]. Geophysical Journal International, 2017, 208(1), 226–233. [16] Bradley B A. Empirical correlation of PGA, spectral accelerations and spectrum intensities from active shallow crustal earthquakes [J]. Earthquake Engineering and Structural Dynamics, 2011, 40(15), 1707–1721. [17] Wang, G., Du, W. Q., 2012 Empirical correlations between cumulative absolute velocity and spectral accelerations from NGA ground motion database [J]. Soil Dynamics and Earthquake Engineering, 43, 229–236. [18] Bradley B A. A generalized conditional intensity measure approach and holistic ground-motion selection [J]. Earthquake Engineering and Structural Dynamics, 2010, 39(12): 1321-1342. [19] Ji K, Wen R Z, Zong C C, et al. Genetic algorithm-based ground motion selection method matching target distribution of generalized conditional intensity measures [J]. Earthquake Engineering and Structural Dynamics, 2021, 50(6), 1497–1516. [20] Zhao J X, Zhou S L, Gao P J, et al. An earthquake classification scheme adapted for Japan determined by the goodness of fit for ground-motion prediction equations [J]. Bulletin of the Seismological Society of America, 2015, 105(5), 2750–2763. [21] Zhao J X, Liang X, Jiang F, et al. Ground-motion prediction equations for subduction interface earthquakes in Japan using site class and simple geometric attenuation functions [J]. Bulletin of the Seismological Society of America, 2016, 106(4), 1518–1534. [22] Hu J J, Tan J Y, Zhao J X. New GMPEs for the sagami bay region in japan for moderate magnitude events with emphasis on differences on site amplifications at the seafloor and land seismic stations of k-net [J]. Bulletin of the Seismological Society of America, 2020, 110(5), 2577–2597. [23] Zhao J X, Zhang J, Asano A, et al. Attenuation relations of strong ground motion in Japan using site classification based on predominant period [J]. Bulletin of the Seismological Society of America, 2006, 96(3), 898–913. [24] Si H, Midorikawa S. New attenuation relationships for peak ground acceleration and velocity considering effects of fault type andsite condition [J]. Journal of Structural and Construction Engineering (Transactions of AIJ) , 1999, 64(523), 63–70. [25] Abrahamson N A, Silva W J, Kamai R. Summary of the ASK14 ground motion relation for active crustal regions [J]. Earthquake Spectra, 2014, 30(3), 1025–1055. [26] Boore D M, Stewart J P, Seyhan E, et al. NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes [J]. Earthquake Spectra, 2014, 30(3), 1057–1085. [27] Campbell K W, Bozorgnia Y. NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra [J]. Earthquake Spectra, 2014, 30(3), 1087–1114. [28] Chiou B S J, Youngs R R. Update of the Chiou and Youngs NGA model for the average horizontal component of peak ground motion and response spectra [J]. Earthquake Spectra, 2014, 30(3), 1117–1153. [29] Abrahamson N, Gregor N, Addo K. BC Hydro Ground Motion Prediction Equations for Subduction Earthquakes [J]. Earthquake Spectra, 2016, 32(1), 23–44. [30] Boore D M. Comments on Baseline Correction of Digital Strong-Motion Data: Examples from the 1999 Hector Mine, California, Earthquake [J]. Bulletin of the Seismological Society of America, 2002, 92(4), 1543–1560. [31] Boore D M, Bommer J J. Processing of strong-motion accelerograms: Needs, options and consequences [J]. Soil Dynamics and Earthquake Engineering, 2005, 25(2), 93–115. [32] Boore D M, Akkar S. Effect of causal and acausal filters on elastic and inelastic response spectra [J]. Earthquake Engineering and Structural Dynamics, 2003, 32(11), 1729–1748. [33] Boore D M. On pads and filters: Processing strong-motion data. Bulletin of the Seismological Society of America, 2005, 95(2), 745–750. [34] Hu J J, Tan J Y. GMPEs for elastic input energy spectra of horizontal and vertical offshore ground motions based on the ETMC database in Japan. Soil Dynamics and Earthquake Engineering, 2022, 155(October 2021), 107198. [35] Abrahamson N A, Youngs R R. A stable algorithm for regression analyses using the random effects model. Bulletin of the Seismological Society of America, 1992, 82(1), 505–510. [36] Kanno T, Narita A, Morikawa N, et al. A new attenuation relation for strong ground motion in Japan based on recorded data. Bulletin of the Seismological Society of America ,2006, 96(3): 879-897.

PDF(7847 KB)

Accesses

Citation

Detail

段落导航
相关文章

/