The effect of material and ground motion uncertainty on the seismic vulnerability curves of RC structure

Kwon, O’Dae; Elnashai, Amr S.

doi:10.1016/j.engstruct.2005.07.010

Cited by 335 publications

(197 citation statements)

References 14 publications

Supporting

Mentioning

174

Contrasting

Unclassified

Order By: Relevance

“…A preliminary estimation of the frequency content of the records may be inferred by the PGA/PGV ratio (Zhu et al 1988;Sawada et al 1992;Kwon and Elnashai 2006). Low PGA/PGV ratios generally indicate earthquakes with low predominant frequencies, broader response spectra, and longer duration.…”

Section: Strong-motion Intensity Measuresmentioning

confidence: 99%

Engineering Characterization of Earthquake Ground Motions

Pacor

Luzi

2014

Encyclopedia of Earthquake Engineering

View full text Add to dashboard Cite

Section: Strong-motion Intensity Measuresmentioning

confidence: 99%

Engineering Characterization of Earthquake Ground Motions

Pacor

Luzi

2014

Encyclopedia of Earthquake Engineering

View full text Add to dashboard Cite

“…By [6] The different distribution substations are supplying power to a virtual community, composed of residential buildings, industrial facilities, businesses and critical infrastructure (schools and hospitals), grouped together in several cities, villages and industrial zones situated close to the distribution nodes of the network. 8 different building types are considered and each building type's vulnerability is represented by its own fragility functions [13,14,15,16,17,18]. Three damage states are considered for each building type: no damage (DS1), slight/moderate damage (DS2) and extensive damage/collapse (DS3).…”

Section: Modeling Of the Vulnerability Of The Epss And The Virtual Comentioning

confidence: 99%

Post-Earthquake Recovery of a Community and Its Electrical Power Supply System

Didier¹,

Sun²,

Ghosh³

et al. 2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

View full text Add to dashboard Cite

show abstract

“…A rough estimation of the frequency content of the records may be inferred by the PGA/PGV ratio (Kwon and Elnashai, 2006), which is equal to 0:58 0:11 g=ms 1 , considering the mean ratio for data in Table 3. Following the classification by Zhu et al (1988) and Kwon and Elnashai (2006), the 1980 Irpinia near-fault ground motions can be classified as high velocity-low acceleration (HV-LA) records.…”

Section: Simulation Methodsmentioning

confidence: 99%

“…Following the classification by Zhu et al (1988) and Kwon and Elnashai (2006), the 1980 Irpinia near-fault ground motions can be classified as high velocity-low acceleration (HV-LA) records. Low PGA/PGV ratios signify earthquakes with low predominant frequencies, broader response spectra, and longer duration (Kwon and Elnashai, 2006). Other earthquakes in different tectonic environments (e.g., the M w 7.4 1999 Chi-Chi earthquake) show similar HV-LA behavior.…”

Section: Simulation Methodsmentioning

confidence: 99%

Ground-Motion Simulations for the 1980 M 6.9 Irpinia Earthquake (Southern Italy) and Scenario Events

Ameri

Emolo

Pacor

et al. 2011

Bulletin of the Seismological Society of America

View full text Add to dashboard Cite

In this paper, we adopt three ground-motion simulation techniques (the stochastic finite-fault simulation code from Motazedian and Atkinson, 2005; the hybrid deterministic-stochastic approach with approximated Green's functions from Pacor et al., 2005; and the broadband hybrid integral-composite technique with full-wavefield Green's functions from Gallovič and Brokešová, 2007), with the aim of investigating the different performances in near-fault strong-motion modeling and prediction from past and future events. The test case is the 1980 M 6.9 Irpinia earthquake, the strongest event recorded in Italy in the last 30 years. First, we simulate the recorded strong-motion data and validate the model parameters by computing spectral acceleration and peak amplitude residual distributions. The validated model is then used to investigate the influence of site effects and to compute synthetic ground motions around the fault. Afterward, we simulate the expected ground motions from scenario events on the Irpinia fault, varying the hypocenters, the rupture velocities, and the slip distributions. We compare the median ground motions and related standard deviations from all scenario events with empirical ground-motion prediction equations (GMPEs). The synthetic median values are included in the median 1 standard deviation of the considered GMPEs. Synthetic peak ground accelerations show median values smaller and with a faster decay with distance than the empirical ones. The synthetics total standard deviation is of the same order or smaller than the empirical one, and it shows considerable differences from one simulation technique to another. We decomposed the total standard deviation into its between-scenario and within-scenario components. The larger contribution to the total sigma comes from the latter, while the former is found to be smaller and in good agreement with empirical interevent variability.Online Material: Comparison of observed and simulated waveforms and spectra.

show abstract

The effect of material and ground motion uncertainty on the seismic vulnerability curves of RC structure

Cited by 335 publications

References 14 publications

Engineering Characterization of Earthquake Ground Motions

Engineering Characterization of Earthquake Ground Motions

Post-Earthquake Recovery of a Community and Its Electrical Power Supply System

Ground-Motion Simulations for the 1980 M 6.9 Irpinia Earthquake (Southern Italy) and Scenario Events

Contact Info

Product

Resources

About