scholarly journals A Study on Evaluation Method for Spatial Variation of Ground Motions Based on the Ground Heterogeneity

2017 ◽  
Vol 17 (2) ◽  
pp. 2_38-2_61
Author(s):  
Genyuu KOBAYASHI ◽  
Yutaka MAMADA
Keyword(s):  
Spatial Variation ◽  
Evaluation Method ◽  
Ground Motions

Simulation of Palu IV Bridge Collapse using Near-Fault Ground Motions

2019 ◽  
Author(s):  
Iswandi Imran ◽  
Budi Santoso ◽  
Ary Pramudito ◽  
Muhammad Kadri Zamad
Keyword(s):  
Spatial Variation ◽  
Ground Motions ◽  
Time History ◽  
Seismic Demand ◽  
Fault Line ◽  
Near Fault ◽  
Failure Simulation ◽  
Bridge Collapse ◽  
Pulse Type ◽  
Bridge Bearing

<p>The earthquake near Palu, Sulawesi (Indonesia) on September 28, 2018 with a magnitude of M7.4 was caused by a shallow strike-slip of Palu-Koro fault. The earthquake and the subsequent tsunami have caused the collapse of the Ponulele Bridge (Palu IV Bridge). The steel box bowstring arch bridge was located near-fault regions (within 1,5 km from fault line) that have not been identified during the design process. This bridge may have been damaged by the presence of fling-step pulses in the near-fault pulse-type ground motions that increases the damaging potential of such ground motions. This paper presents the failure simulation of the bridge subjected to the near fault pulse type time history with spatial variation ground motions applied on multiple bridge supports. From the simulation, it is concluded that the near fault effects and the spatial variation of the ground motion have increased significantly the seismic demand on the bridge. This increase causes the failure in the anchorage of the bridge bearing system.</p>

Spatial variation of seismic ground motions: An overview

2002 ◽  
Vol 55 (3) ◽  
pp. 271-297 ◽  
Author(s):  
Aspasia Zerva ◽  
Vassilios Zervas
Keyword(s):  
Spatial Variation ◽  
Seismic Response ◽  
Ground Motions ◽  
Review Article ◽  
Stochastic Description ◽  
Simulation Techniques ◽  
Alternative Approach ◽  
Recorded Data ◽  
Semi Empirical ◽  
Spatial Coherency

This study addresses the topic of the spatial variation of seismic ground motions as evaluated from data recorded at dense instrument arrays. It concentrates on the stochastic description of the spatial variation, and focuses on spatial coherency. The estimation of coherency from recorded data and its interpretation are presented. Some empirical and semi-empirical coherency models are described, and their validity and limitations in terms of physical causes discussed. An alternative approach that views the spatial variation of seismic motions as deviations in amplitudes and phases of the recorded data around a coherent approximation of the seismic motions is described. Simulation techniques for the generation of artificial spatially variable seismic ground motions are also presented and compared. The effect of coherency on the seismic response of extended structures is highlighted. This review article includes 133 references.

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