Stochastic Non-Stationary Model for Ground Motion Simulation Based on Higher-Order Crossing of Linear Time Variant Systems

Waezi, Zakariya; Rofooei, Fayaz R.

doi:10.1080/13632469.2016.1149894

Cited by 17 publications

(12 citation statements)

References 33 publications

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“…min./neg. max [38]. Even though the simulations were satisfactory for the low-period region of the response spectrum, the outcome does not indicate such a proper long-period spectral compatibility.…”

Section: Simulation and Resultsmentioning

confidence: 88%

“…Waezi and Rofooei [38] used the NSTMKT model along with only acceleration record's zero crossing and pos. min./neg.…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…are the total number of zerocrossing for velocity record and its PSD, respectively. The forgoing procedure of estimating velocity and displacement zero-crossing for LTV systems was applied to the DFM, and Non-Stationary Modi ed KanaiTajimi (NSMKT) model was introduced by Waezi and Rofooei [38]. Figure 3 displays the di erence between the zero-crossing of the Monte Carlo simulations and those estimated by Rice (Eq.…”

Section: Velocity and Displacement Zero-crossingmentioning

confidence: 99%

“…c are the correlation coe cient of the process with its time-derivative and the central frequency of the signal, respectively. Waezi and Rofooei [38] recommended the following relation for ZC + count of signals with non-stationary power spectrum S(! ; ), ignoring the e ect of Y _ Y due to its negligible e ect on the nal results and only considering the slowly-varying system parameters:…”

Section: Ltv Systemsmentioning

confidence: 99%

“…Waezi and Rofooei used the following EPSD along with Eq. (15) to de ne an LTV compatible system for the better simulation of the near-eld pulseless records [38]:…”

Section: Ltv Systemsmentioning

confidence: 99%

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On the Evolutionary Characteristics of the Acceleration Records Generated From Linear Time-Variant Systems

Waezi

Rofooei

2017

Scientia Iranica

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Abstract. This paper discusses the time-varying characteristics of the output signals resulted from Linear Time Variant (LTV) systems using level-crossing properties. These systems, used for generating synthetic records based on a target record, contain two identi cation processes: 1) amplitude modulating function; and 2) time-varying Impulse Response Function (IRF) parameters. To track the IRF parameters e ciently, the zerocrossing and positive minima/negative maxima cumulative curves are usually utilized as the measures of the instantaneous spectral power. Using spectral moments, analytic relations for zero-crossing and positive minima/negative maxima cumulative count are developed with respect to the IRF's evolutionary power spectrum. In order to investigate the low-frequency components of the output records e ciently, the zero-crossing rate of the velocity and the displacement records are tracked and rigorous analytic equations for their descriptions are developed. Some of the issues concerning application of the developed equations are explored using two LVT models, and the limitations of the proposed procedures are explained. Through introduction of new compatibility measures, the necessity of implementing Monte Carlo simulations would no longer be needed, and it would be possible to generate synthetic acceleration records with desirable evolutionary characteristics with much shorter computation time.

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Section: Simulation and Resultsmentioning

confidence: 88%

“…Waezi and Rofooei [38] used the NSTMKT model along with only acceleration record's zero crossing and pos. min./neg.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Section: Velocity and Displacement Zero-crossingmentioning

confidence: 99%

Section: Ltv Systemsmentioning

confidence: 99%

“…Waezi and Rofooei used the following EPSD along with Eq. (15) to de ne an LTV compatible system for the better simulation of the near-eld pulseless records [38]:…”

Section: Ltv Systemsmentioning

confidence: 99%

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