scholarly journals EFFECTS OF SEISMIC-SOURCE CHARACTERISTICS UNCERTAINTIES ON SEISMIC INTENSITY AND STRUCTURAL RESPONSE

2016 ◽  
Vol 81 (721) ◽  
pp. 425-435
Author(s):  
Sayaka IGARASHI ◽  
Shigehiro SAKAMOTO ◽  
Akemi NISHIDA ◽  
Ken MURAMATSU ◽  
Tsuyoshi TAKADA
2019 ◽  
Vol 280 ◽  
pp. 01005
Author(s):  
Widodo Pawirodikromo

The concept of seismic intensity measures has long beendiscussed and has been collected by researchers among whom are by [1-6]. However, the effect of earthquake duration on the structural response hasnot received attention from the researcher so it has not been seen in the listof the existing seismic intensity measures. In the spectral response, forexample, it has been accommodated peak value and earthquake frequencycontent but has not accommodated the duration of the earthquake. Theeffect of earthquake duration on a response, damage or collapse capacity ofthe structure has been done by the researchers [7-10]. The spectrallyequivalent approach/control has been used by [9,10]., while the collapsecapacity approach is cursed by [8]. The use of the classification of theearthquake frequency content as independent variables has been suggestedby [7]. In this study, the classification of earthquake frequency (lowfrequency), earthquake duration as the independent variable and peakacceleration control have been used. Single degree of Freedom (SDOF)structures excited by 15-earthquakes with effective durations varyingbetween te = 6.34 to 30.18 s have been used. The results showed that notall seismic intensity measure used had a strong relationship with effectiveduration. The earthquake effective duration has a positive relationship withthe damage index but the relationship is relatively weak


2020 ◽  
Vol 20 (3) ◽  
pp. 743-753
Author(s):  
Yu-Sheng Sun ◽  
Hsien-Chi Li ◽  
Ling-Yun Chang ◽  
Zheng-Kai Ye ◽  
Chien-Chih Chen

Abstract. Real-time probabilistic seismic hazard assessment (PSHA) was developed in this study in consideration of its practicability for daily life and the rate of seismic activity with time. Real-time PSHA follows the traditional PSHA framework, but the statistic occurrence rate is substituted by time-dependent seismic source probability. Over the last decade, the pattern informatics (PI) method has been developed as a time-dependent probability model of seismic source. We employed this method as a function of time-dependent seismic source probability, and we selected two major earthquakes in Taiwan as examples to explore real-time PSHA. These are the Meinong earthquake (ML 6.6) of 5 February 2016 and the Hualien earthquake (ML 6.2) of 6 February 2018. The seismic intensity maps produced by the real-time PSHA method facilitated the forecast of the maximum expected seismic intensity for the following 90 d. Compared with real ground motion data from the P-alert network, our seismic intensity forecasting maps showed considerable effectiveness. This result indicated that real-time PSHA is practicable and provides useful information that could be employed in the prevention of earthquake disasters.


2004 ◽  
Vol 20 (1_suppl) ◽  
pp. 65-79 ◽  
Author(s):  
Antonella Gorini ◽  
Sandro Marcucci ◽  
Paolo Marsan ◽  
Giuliano Milana

The far field radiation inferred from accelerometric data recorded by the Italian Strong Motion Network (RAN) during the October 31, 2002, Molise, Italy, earthquake indicates a strong anisotropy in PGA distribution that presents its maximum values in the eastern part of the epicentral area. This study explores an interpretation of source directivity using a stochastic approach to produce synthetic seismograms accounting for source dimensions and rupture evolution. An E-W strike-slip fault, with a dip close to 90° and a fault plane size of (8×6) km2, reproduces satisfactorily both peak accelerations and spectral shapes of the recorded data when the rupture enucleates from the western edge at a depth of about 20 km and propagates eastward. This approach allows us to put constraints on seismic source characteristics and can be used to simulate ground motion for the most damaged areas where strong motion data are not available.


2012 ◽  
Vol 171 (3-5) ◽  
pp. 507-521 ◽  
Author(s):  
Heming Xu ◽  
Arthur J. Rodgers ◽  
Ilya N. Lomov ◽  
Oleg Y. Vorobiev

2001 ◽  
Vol 158 (11) ◽  
pp. 2105-2121 ◽  
Author(s):  
J. R. Murphy ◽  
D. D. Sultanov ◽  
N. Rimer ◽  
B. W. Barker

2021 ◽  
Vol 312 ◽  
pp. 106670
Author(s):  
César Jiménez ◽  
Miguel Saavedra J. ◽  
Nick Moreno

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