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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
A fully parametric non-stationary spectral-based stochastic ground motion model Vlachos, Christos; Deodatis, George; Papakonstantinou, Konstantinos G.
Abstract
A novel strong ground motion stochastic model is formulated in association with physically interpretable parameters that are capable of efficiently characterizing the complex evolutionary nature of the phenomenon. A multi-modal, analytical, fully non-stationary spectral version of the Kanai-Tajimi model is introduced achieving a realistic description of the evolutionary spectral energy distribution of the seismic ground motions. The functional forms describing the temporal evolution of the model parameters can effectively model complex highly non-stationary power spectral characteristics. The analysis space, where the analytical forms describing the evolution of the model parameters are established, is the energy domain instead of the typical use of the time domain. The Spectral Representation Method facilitates the simulation of sample model realizations.
Item Metadata
Title |
A fully parametric non-stationary spectral-based stochastic ground motion model
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
A novel strong ground motion stochastic model is formulated in association with physically
interpretable parameters that are capable of efficiently characterizing the complex evolutionary nature of
the phenomenon. A multi-modal, analytical, fully non-stationary spectral version of the Kanai-Tajimi
model is introduced achieving a realistic description of the evolutionary spectral energy distribution of the
seismic ground motions. The functional forms describing the temporal evolution of the model parameters
can effectively model complex highly non-stationary power spectral characteristics. The analysis space,
where the analytical forms describing the evolution of the model parameters are established, is the energy
domain instead of the typical use of the time domain. The Spectral Representation Method facilitates the
simulation of sample model realizations.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076060
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty; Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada