Generation of fully non-stationary random processes consistent with target seismic accelerograms. Issue 141 (February 2021)
- Record Type:
- Journal Article
- Title:
- Generation of fully non-stationary random processes consistent with target seismic accelerograms. Issue 141 (February 2021)
- Main Title:
- Generation of fully non-stationary random processes consistent with target seismic accelerograms
- Authors:
- Muscolino, G.
Genovese, F.
Biondi, G.
Cascone, E. - Abstract:
- Abstract: In this paper, a method for generating samples of a fully non-stationary zero-mean Gaussian process, having a target acceleration time-history as one of its own samples, is presented. The proposed method requires the following steps: i) divide the time axis of the target accelerogram in contiguous time intervals in which a uniformly modulated process is introduced as the product of a deterministic modulating function per a stationary zero-mean Gaussian sub-process, whose power spectral density ( PSD ) function is filtered by two Butterworth filters; ii) estimate, in the various time intervals, the parameters of modulating functions by least-square fitting the expected energy of the proposed model to the energy of the target accelerogram; iii) estimate the parameters of the PSD function of the stationary sub-process, once the occurrences of maxima and of zero-level up-crossings of the target accelerogram, in the various intervals, are counted; iv) obtain the evolutionary spectral representation of the fully non-stationary process by adding the various contribution evaluated in the various intervals. Highlights: The generation of artificial accelerograms consistent with real seismic records is addressed. Main characteristics of target accelerograms are used to define fully non-stationary processes. The target accelerogram is considered a sample of the fully non-stationary process. The proposed method is suitable for selecting input motion for dynamic analyses ofAbstract: In this paper, a method for generating samples of a fully non-stationary zero-mean Gaussian process, having a target acceleration time-history as one of its own samples, is presented. The proposed method requires the following steps: i) divide the time axis of the target accelerogram in contiguous time intervals in which a uniformly modulated process is introduced as the product of a deterministic modulating function per a stationary zero-mean Gaussian sub-process, whose power spectral density ( PSD ) function is filtered by two Butterworth filters; ii) estimate, in the various time intervals, the parameters of modulating functions by least-square fitting the expected energy of the proposed model to the energy of the target accelerogram; iii) estimate the parameters of the PSD function of the stationary sub-process, once the occurrences of maxima and of zero-level up-crossings of the target accelerogram, in the various intervals, are counted; iv) obtain the evolutionary spectral representation of the fully non-stationary process by adding the various contribution evaluated in the various intervals. Highlights: The generation of artificial accelerograms consistent with real seismic records is addressed. Main characteristics of target accelerograms are used to define fully non-stationary processes. The target accelerogram is considered a sample of the fully non-stationary process. The proposed method is suitable for selecting input motion for dynamic analyses of structural and geotechnical systems. The proposed procedure is characterised by accuracy and computational efficiency. … (more)
- Is Part Of:
- Soil dynamics and earthquake engineering. Issue 141(2021)
- Journal:
- Soil dynamics and earthquake engineering
- Issue:
- Issue 141(2021)
- Issue Display:
- Volume 141, Issue 141 (2021)
- Year:
- 2021
- Volume:
- 141
- Issue:
- 141
- Issue Sort Value:
- 2021-0141-0141-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Artificial accelerograms -- Fully non-stationary stochastic process -- Evolutionary power spectral density function -- Real ground motion records -- Simulation
Soil dynamics -- Periodicals
Earthquake engineering -- Periodicals
Sols -- Dynamique -- Périodiques
Génie parasismique -- Périodiques
624.176205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02677261 ↗
http://www.sciencedirect.com/science/journal/02617277 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.soildyn.2020.106467 ↗
- Languages:
- English
- ISSNs:
- 0267-7261
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8322.225000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23514.xml