scholarly journals Probabilistic sensitivity analysis of two suspension bridges in Istanbul, Turkey to near- and far-fault ground motion

2012 ◽  
Vol 12 (2) ◽  
pp. 459-473 ◽  
Author(s):  
Ö. Çavdar
Keyword(s):  
Ground Motion ◽  
Dynamic Responses ◽  
Suspension Bridges ◽  
Near Fault ◽  
Internal Forces ◽  
Ground Motion Records ◽  
Far Fault ◽  
Sensitivity Method ◽  
Mcs Method ◽  
Strong Ground

Abstract. The aim of this paper is to compare the near-fault and far-fault ground motion effects on the probabilistic sensitivity dynamic responses of two suspension bridges in Istanbul. Two different types of suspension bridges are selected to investigate the near-fault (NF) and far-fault (FF) ground motion effects on the bridge sensitivity responses. NF and FF strong ground motion records, which have approximately identical peak ground accelerations, of the Kocaeli (1999) earthquake are selected for the analyses. Displacements and internal forces are determined using the probabilistic sensitivity method (PSM), which is one type of stochastic finite element method. The efficiency and accuracy of the proposed algorithm are validated by comparison with results of the Monte Carlo Simulation (MCS) method. The displacements and internal forces obtained from the analyses of suspension bridges subjected to each fault effect are compared with each other. It is clearly seen that there is more seismic demand on displacements and internal forces when suspension bridges are subjected to NF and FF ground motion.

Comparison of near-fault and far-fault ground motion effects on geometrically nonlinear earthquake behavior of suspension bridges

2012 ◽  
Vol 64 (1) ◽  
pp. 593-614 ◽  
Author(s):  
Süleyman Adanur ◽  
Ahmet Can Altunişik ◽  
Alemdar Bayraktar ◽  
Mehmet Akköse
Keyword(s):  
Ground Motion ◽  
Suspension Bridges ◽  
Geometrically Nonlinear ◽  
Near Fault ◽  
Far Fault

Study on Long-Period Inelastic Spectra of near-Fault Pulse-Like Strong Ground Modeled Using Analytical Model

2011 ◽  
Vol 374-377 ◽  
pp. 2316-2319
Author(s):  
Chun Feng Li ◽  
Wei Xin Tian ◽  
Zhuo Lin
Keyword(s):  
Ground Motion ◽  
Analytical Model ◽  
Ground Motions ◽  
Near Field ◽  
Near Fault ◽  
Long Period ◽  
Acceleration Time Histories ◽  
Long Period Ground Motion ◽  
Ground Motion Records ◽  
Strong Ground

Because the parameters of Mavroeidis analytical model of pulse-like strong ground motion have an unambiguous physical meaning, the analytical model has been calibrated using a large number of actual near-field ground-motion records, and It can successfully simulate available near-fault pulse-like acceleration time histories, in this paper, we synthesize ground motions using the model to investigate elasto-plastic earthquake responses of long period single-degree-of-freedom system to the pulse-like ground motions, revealing the elasto-plastic long-period ground motion characteristics of pulse-like ground motion.

Identification of Near-Field Pulse-Like Ground Motions Recorded at Bajiao Station during the Mainshock of the Great Wenchuan Earthquake

2011 ◽  
Vol 250-253 ◽  
pp. 2546-2553 ◽  
Author(s):  
Chun Feng Li ◽  
Yong Bo Li
Keyword(s):  
Wenchuan Earthquake ◽  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motions ◽  
Near Field ◽  
Velocity Pulse ◽  
Field Pulse ◽  
Near Fault ◽  
Ground Motion Records ◽  
Strong Ground

When earthquake occurs, it is in near-fault that the most serious damage happens and velocity pulse appears. Velocity pulse could have huge potential to destroy the structure in near-fault. The set of records at Bajiao Station is one of the three famous near-field sets of strong ground motion records whose PGAs are the largest in all the sets of records obtained from the mainshock of the Great Wenchuan Earthquake. Our research is to identify the pulse-like characteristics from the set of records at Bajiao Station. It is found that velocity pulses in the records are “hidden pulses”.

Strong Ground Motion and Pulse‐Like Velocity Observations in the Near‐Fault Region of the 2018 Mw 6.4 Hualien, Taiwan, Earthquake

2018 ◽  
Vol 90 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Chun‐Hsiang Kuo ◽  
Jyun‐Yan Huang ◽  
Che‐Min Lin ◽  
Ting‐Yu Hsu ◽  
Shu‐Hsien Chao ◽  
...  
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Near Fault ◽  
Fault Region ◽  
Taiwan Earthquake ◽  
Strong Ground

Too-Late Warnings by Estimating Mw: Earthquake Early Warning in the Near-Fault Region

2020 ◽  
Vol 110 (3) ◽  
pp. 1276-1288
Author(s):  
Mitsuyuki Hoshiba
Keyword(s):  
Real Time ◽  
Ground Motion ◽  
Early Warning ◽  
Strong Motion ◽  
Earthquake Early Warning ◽  
Motion Generation ◽  
Near Fault ◽  
Time Gap ◽  
Fault Region ◽  
Strong Ground

ABSTRACT Earthquake early warning (EEW) systems aim to provide advance warnings of impending strong ground shaking. Many EEW systems are based on a strategy in which precise and rapid estimates of source parameters, such as hypocentral location and moment magnitude (Mw), are used in a ground-motion prediction equation (GMPE) to predict the strength of ground motion. For large earthquakes with long rupture duration, the process is repeated, and the prediction is updated in accordance with the growth of Mw during the ongoing rupture. However, in some regions near the causative fault this approach leads to late warnings, because strong ground motions often occur during earthquake ruptures before Mw can be confirmed. Mw increases monotonically with elapsed time and reaches its maximum at the end of rupture, and ground motion predicted by a GMPE similarly reaches its maximum at the end of rupture, but actual generation of strong motion is earlier than the end of rupture. A time gap between maximum Mw and strong-motion generation is the first factor contributing to late warnings. Because this time gap exists at any point of time during the rupture, a late warning is inherently caused even when the growth of Mw can be monitored in real time. In the near-fault region, a weak subevent can be the main contributor to strong ground motion at a site if the distance from the subevent to the site is small. A contribution from a weaker but nearby subevent early in the rupture is the second factor contributing to late warnings. Thus, an EEW strategy based on rapid estimation of Mw is not suitable for near-fault regions where strong shaking is usually recorded. Real-time monitoring of ground motion provides direct information for real-time prediction for these near-fault locations.

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