Development of New Ground Motion Prediction Equation for the North and Central Himalayas Using Recorded Strong Motion Data

被引:25
作者
Ramkrishnan, R. [1 ]
Sreevalsa, Kolathayar [2 ]
Sitharam, T. G. [3 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Civil Engn, Coimbatore 641112, Tamil Nadu, India
[2] VIT, Sch Civil Engn, Vellore, Tamil Nadu, India
[3] Indian Inst Sci, Dept Civil Engn, Bangalore, Karnataka, India
关键词
GMPE; Attenuation Relations; Himalayas; Regression; Peak Ground Acceleration; SEISMIC HAZARD ANALYSIS; PEAK HORIZONTAL ACCELERATION; ATTENUATION RELATION; SIKKIM HIMALAYA; NW HIMALAYA; INDIA; PGV; EARTHQUAKES; SPECTRA; REGION;
D O I
10.1080/13632469.2019.1605318
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A new region-specific Ground Motion Prediction Equation (GMPE) was developed for the North and Central Himalayas purely based on recorded strong motion data. The GMPE was generated using multiple-regression, considering ground acceleration, magnitude, and hypocentral distance. An updated larger dataset was used in the present study, making the new equation applicable to a larger magnitude range of 4.1 to 7.8 and distance range up to 1560 kms, thus overcoming a major limitation of currently available region-specific GMPEs. The new GMPE was validated and observed to predict ground acceleration more accurately with noticeably less residuals as compared to existing GMPEs.
引用
收藏
页码:1903 / 1926
页数:24
相关论文
共 50 条
  • [31] Extracting rotational components of earthquake ground motion using data recorded at multiple stations
    Basu, Dhiman
    Whittaker, Andrew S.
    Constantinou, Michael C.
    EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2013, 42 (03) : 451 - 468
  • [32] Validation of strong-motion stochastic model using observed ground motion records in north-east India
    Bora, Dipok K.
    Sokolov, Vladimir Yu
    Wenzel, Friedemann
    GEOMATICS NATURAL HAZARDS & RISK, 2016, 7 (02) : 565 - 585
  • [33] Regionally Adjustable Generic Ground-Motion Prediction Equation Based on Equivalent Point-Source Simulations: Application to Central and Eastern North America
    Yenier, Emrah
    Atkinson, Gail M.
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2015, 105 (04) : 1989 - 2009
  • [34] Ground-Motion Prediction Equations for Central and Eastern North America Using the Hybrid Empirical Method and NGA-West2 Empirical Ground-Motion Models
    Pezeshk, Shahram
    Zandieh, Arash
    Campbell, Kenneth W.
    Tavakoli, Behrooz
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2018, 108 (04) : 2278 - 2304
  • [35] Prediction of near-fault strong ground motion field
    Wang Hai-Yun
    Xie Li-Li
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2009, 52 (03): : 703 - 711
  • [36] Neural network-based hybrid ground motion prediction equations for Western Himalayas and North-Eastern India
    J. Dhanya
    S. T. G. Raghukanth
    Acta Geophysica, 2020, 68 : 303 - 324
  • [37] Testing Ground-Motion Prediction Equations against Moderate Magnitude Earthquake Data Recorded in Korea
    Nizamani, Zubair Ahmed
    Park, Duhee
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2021, 111 (01) : 321 - 338
  • [38] Development of an offshore ground motion prediction equation for peak ground acceleration considering path effects based on S-net data
    Nakanishi, Ryo
    Takemura, Shunsuke
    EARTH PLANETS AND SPACE, 2024, 76 (01):
  • [39] A ground motion prediction equation for novel peak ground fractional order response intensity measures
    Kale, Ozkan
    Padgett, Jamie E.
    Shafieezadeh, Abdollah
    BULLETIN OF EARTHQUAKE ENGINEERING, 2017, 15 (09) : 3437 - 3461
  • [40] Site-dependent ground-motion data recorded by German taskforce in Turkey
    Schwarz, J
    Ende, C
    Lang, DH
    Directions in Strong Motion Instrumentation, 2005, 58 : 223 - 239