A Multi-Peak Evolutionary Model for Stochastic Simulation of Ground Motions Based on Time-Domain Features

Waezi, Zakariya; Rofooei, Fayaz R.; Hashemi, Javad

doi:10.1080/13632469.2018.1518279

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…The double frequency model (DFM), is a site-based filtered white noise stochastic method proposed by Waezi and Rofoeei [16,18,32], which is capable of generating both amplitude and frequency non-stationary records, with 13 model parameters. It was shown that the 13 model parameters can be regressed against source-path-site characteristics which enables the model to generate an ensemble of records conditioned on a specific scenario.…”

Section: Dfm Modelmentioning

confidence: 99%

“…, are determined according to the best fit of Arias intensity of Amin and Ang's modulating function to the target Arias intensity curve of the record. The authors have determined the range of variation of EF parameters according to the values obtained for non-pulse-like nearfield ground motions for the previous study [18,32]. It should be mentioned that, since 0 T only shifts the modulating function in time, it can be set equal to zero, and consequently 1 T and 2 T are shifted as *…”

Section: Dfm Modelmentioning

confidence: 99%

“…They also proposed a high-pass filtered, time-varying, double-frequencies model (DFM) with time-variant parameters to simulate a frequencywise non-stationary process. Moreover, they included a method for scenario-specific record simulation using DFM [18].…”

Section: Introductionmentioning

confidence: 99%

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A Semi-Analytic Method to Estimate the Response Spectrum of the Synthetic Acceleration Records with Evolutionary Spectrum

Raoof

Waezi

2021

Scientia Iranica

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In this paper, we introduce a semi-analytic procedure for deriving the response spectrum of the synthetic acceleration records generated using the Double Frequency Model (DFM). DFM is a filtered white noise method for fully non-stationarity synthetic acceleration records. The proposed semi-analytic procedure is based on the theory of the first passage problem, which precludes time and computationally extensive methods e.g. Monte Carlo simulations. Assuming a slowly-varying envelope and evolutionary transfer functions, the procedure for estimating the elastic response of a structure is implemented in both time and frequency domains. Comparing the results of our model with previous models and approximations, we conclude that for a set of 10000 realizations of the DFM model, the semi-analytic model produces less than 10% error for 92% of the realizations. The accuracy of estimations is higher in the short-period compared to the long-period ranges of the response spectrum. Comparing the accuracy of approximations used to arrive at peak factors, results show that Michaelov et al's approximation executed in the frequency domain yields the best results compared to Poisson or Vanmarcke's procedures.

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Section: Dfm Modelmentioning

confidence: 99%

Section: Dfm Modelmentioning

confidence: 99%