2021
DOI: 10.3311/ppci.15276
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Seismic Fragility Analysis of Base Isolated Structure Subjected to Near-fault Ground Motions

Abstract: In order to better evaluate the performance of the base isolated structure under the near-fault earthquakes, this paper takes into consideration an existing engineering case study in China as the prototype, and uses OpenSEES platform to establish the nonlinear finite element model of the base isolated structure. The nonlinear response of the isolated structure under the near-fault earthquake is analyzed. The incremental dynamic analysis (IDA) method is used to calculate the damage probability of the structure … Show more

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Cited by 10 publications
(10 citation statements)
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“…The array of models was iterated and interpolated within 95% confidence interval, the R 2 and modified R 2 were both above 0.99, and the established matrix was favourable diagonal. Among Equations 1-4, Sd stands for the sample size or fragility parameters of seismic damage to bridge, Rd for the grade of seismic damage (as the fragility model for the surveyed areas that was numbered between integer one and five, and these integers corresponded to the five seismic damage grades), n0, n1, n2, n3 and n4 for polynomial regression parameters, c1, c2, d1, d2, m1 and m2 for Gaussian regression parameters, a1, a2, b1 and b2 for exponential regression parameters, and f, g1, g2, g3, g4, p1 and p2 for Fourier regression parameters [6][7][8][9][10][11].…”
Section: Typical Non-linear Model For Bridgesmentioning
confidence: 99%
“…The array of models was iterated and interpolated within 95% confidence interval, the R 2 and modified R 2 were both above 0.99, and the established matrix was favourable diagonal. Among Equations 1-4, Sd stands for the sample size or fragility parameters of seismic damage to bridge, Rd for the grade of seismic damage (as the fragility model for the surveyed areas that was numbered between integer one and five, and these integers corresponded to the five seismic damage grades), n0, n1, n2, n3 and n4 for polynomial regression parameters, c1, c2, d1, d2, m1 and m2 for Gaussian regression parameters, a1, a2, b1 and b2 for exponential regression parameters, and f, g1, g2, g3, g4, p1 and p2 for Fourier regression parameters [6][7][8][9][10][11].…”
Section: Typical Non-linear Model For Bridgesmentioning
confidence: 99%
“…It takes place at the beginning of the record. Consequently, rupture directivity effects can lead to strong pulse-like ground motions [150][151][152][153][154][155][156][157][158][159] that are detrimental for seismically isolated structures. Such pulses lead to an increase in earthquake demand parameters.…”
Section: Evaluation Of Ground Motion Characteristics For Seismic Isol...mentioning
confidence: 99%
“…Earthquake and scours are two common natural disasters that easily lead to bridge damage and destruction [6,7]. Several procedures for seismic analysis of bridges have been developed in recent years to realize the seismic risk evaluation and damage control [8][9][10].…”
Section: Introductionmentioning
confidence: 99%