scholarly journals RELATIONSHIPS BETWEEN RESPONSE SPECTRA AND ENERGY SPECTRA BASED ON STRONG GROUND MOTION DATA INCLUDING LONG-PERIOD AND LONG-DURATION GROUND MOTIONS

2017 ◽  
Vol 82 (740) ◽  
pp. 1559-1569 ◽  
Author(s):  
Atsuko OANA ◽  
Haruyuki KITAMURA ◽  
Toshiaki SATO ◽  
Kazuo DAN
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motions ◽  
Response Spectra ◽  
Energy Spectra ◽  
Motion Data ◽  
Long Period ◽  
Long Duration ◽  
Strong Ground

scholarly journals A technique for simulating strong ground motion using hybrid Green's function

1998 ◽  
Vol 88 (2) ◽  
pp. 357-367 ◽  
Author(s):  
Katsuhiro Kamae ◽  
Kojiro Irikura ◽  
Arben Pitarka
Keyword(s):  
Green’S Function ◽  
Ground Motion ◽  
Green's Function ◽  
Green's Functions ◽  
Strong Ground Motion ◽  
Green’S Functions ◽  
Ground Motions ◽  
Large Earthquake ◽  
Long Period ◽  
Strong Ground

Abstract A method for simulating strong ground motion for a large earthquake based on synthetic Green's function is presented. We use the synthetic motions of a small event as Green's functions instead of observed records of small events. Ground motions from small events are calculated using a hybrid scheme combining deterministic and stochastic approaches. The long-period motions from the small events are deterministically calculated using the 3D finite-difference method, whereas the high-frequency motions from them are stochastically simulated using Boore's method. The small-event motions are synthesized summing the long-period and short-period motions after passing them through a pair of matched filters to follow the omega-squared source model. We call the resultant time series “hybrid Green's functions” (HGF). Ground motions from a large earthquake are simulated by following the empirical Green's function (EGF) method. We demonstrate the effectiveness of the method at simulating ground motion from the 1995 Hyogo-ken Nanbu earthquake (Mw 6.9).

scholarly journals Strong ground motion observations of engineering interest from the 14 November 2016 Mw7.8 Kaikōura, New Zealand earthquake

2017 ◽  
Vol 50 (2) ◽  
pp. 85-93 ◽  
Author(s):  
Brendon A. Bradley ◽  
Hoby N.T. Razafindrakoto ◽  
M. Ahsan Nazer
Keyword(s):  
New Zealand ◽  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motions ◽  
Source Region ◽  
Vertical Direction ◽  
Response Spectra ◽  
Ground Motion Modelling ◽  
Kaikoura Earthquake ◽  
Strong Ground

This paper provides a brief discussion of observed strong ground motions from the 14 November 2016 Mw7.8 Kaikōura earthquake. Specific attention is given to examining observations in the near-source region where several ground motions exceeding 1.0g horizontal are recorded, as well as up to 2.7g in the vertical direction at one location. Ground motion response spectra in the near-source, North Canterbury, Marlborough and Wellington regions are also examined and compared with design levels. Observed spectral amplitudes are also compared with predictions from empirical and physics-based ground motion modelling.

Characteristics of strong ground motion data recorded in the Gubbio sedimentary basin (Central Italy)

2006 ◽  
Vol 5 (1) ◽  
pp. 27-43 ◽  
Author(s):  
F. Pacor ◽  
D. Bindi ◽  
L. Luzi ◽  
S. Parolai ◽  
S. Marzorati ◽  
...  
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Sedimentary Basin ◽  
Central Italy ◽  
Motion Data ◽  
Strong Ground

Verification of attenuation models based on strong ground motion data in Northern Thailand

2020 ◽  
Vol 133 ◽  
pp. 106145
Author(s):  
Weeradetch Tanapalungkorn ◽  
Lindung Zalbuin Mase ◽  
Panon Latcharote ◽  
Suched Likitlersuang
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Northern Thailand ◽  
Motion Data ◽  
Attenuation Models ◽  
Strong Ground

Significance of Ground Motion Scaling Parameters on Amplitude of Scale Factors and Seismic Response of Short- and Long-Period Structures

2019 ◽  
Vol 35 (4) ◽  
pp. 1663-1688 ◽  
Author(s):  
Esengul Cavdar ◽  
Gokhan Ozdemir ◽  
Beyhan Bayhan
Keyword(s):  
Seismic Response ◽  
Ground Motion ◽  
Ground Motions ◽  
Response Spectra ◽  
Scaling Method ◽  
Period Range ◽  
Long Period ◽  
Scale Factors ◽  
Short Period ◽  
Response History Analysis

In this study, an ensemble of ground motions is selected and scaled in order to perform code-compliant bidirectional Nonlinear Response History Analysis for the design purpose of both short- and long-period structures. The followed scaling method provides both the requirements of the Turkish Earthquake Code regarding the scaling of ground motions and compatibility of response spectra of selected ground motion pairs with the target spectrum. The effects of four parameters, involved in the followed scaling method, on both the amplitude of scale factors and seismic response of structures are investigated. These parameters are the number of ground motion records, period range, number of periods used in the related period range, and distribution of weight factors at the selected periods. In the analyses, ground motion excitations were applied to both fixed-base and seismically isolated structure models representative of short- and long-period structures, respectively. Results revealed that both the amplitudes of scale factors and seismic response of short-period structures are more prone to variation of investigated parameters compared to those of long-period structures.

The Simulation of Strong Ground Motion Using Empirical Green Function and Stochastic Method for Southern Taiwan Area

2018 ◽  
Author(s):  
Tsung-Jen Teng ◽  
Pei-Ting Chen ◽  
Ting-Wei Chang ◽  
Yuan-Sen Yang ◽  
Chien-Kuo Chiu ◽  
...  
Keyword(s):  
Green Function ◽  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motions ◽  
Large Earthquake ◽  
Green Function Method ◽  
Strong Ground Motions ◽  
Empirical Green Function ◽  
Southern Taiwan ◽  
Strong Ground

This study presents strong ground motion simulation methods for the future fragility study of a power plant in Southern Taiwan. The modified stochastic method and empirical Green function method are utilized to synthesize the strong ground motions of specific events. A modified physical random function model of strong ground motions for specific sites and events is presented in this study with verification of sample level. Based on the special models of the source, path, and local site, the random variables of the physical random function of strong ground motions is obtained. The inverse Fourier transform is used to simulate strong ground motions. For the empirical Green function method, the observed site records from small earthquake events occurring around the source area of a large earthquake are collected to simulate the broadband strong ground motion from a large earthquake event. Finally, an application of proposed two simulated methods of this study for simulating the ground motion records of Nishi-Akashi Station at 1995 Kobe earthquake and 2006 Southern Taiwan PingDong earthquake are presented.

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