A hybrid computational approach to derive new ground-motion prediction equations
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Gandomi2011717,
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author = "Amir Hossein Gandomi and Amir Hossein Alavi and
Mehdi Mousavi and Seyed Morteza Tabatabaei",
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title = "A hybrid computational approach to derive new
ground-motion prediction equations",
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journal = "Engineering Applications of Artificial Intelligence",
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volume = "24",
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number = "4",
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pages = "717--732",
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year = "2011",
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ISSN = "0952-1976",
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DOI = "doi:10.1016/j.engappai.2011.01.005",
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URL = "http://www.sciencedirect.com/science/article/B6V2M-52C83TR-1/2/0e8d2ec5097e6a0e7eef643a7e26d527",
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keywords = "genetic algorithms, genetic programming, Time-domain
ground-motion parameters, Prediction equations,
Orthogonal least squares, Nonlinear modelling",
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abstract = "A novel hybrid method coupling genetic programming and
orthogonal least squares, called GP/OLS, was employed
to derive new ground-motion prediction equations
(GMPEs). The principal ground-motion parameters
formulated were peak ground acceleration (PGA), peak
ground velocity (PGV) and peak ground displacement
(PGD). The proposed GMPEs relate PGA, PGV and PGD to
different seismic parameters including earthquake
magnitude, earthquake source to site distance, average
shear-wave velocity, and faulting mechanisms. The
equations were established based on an extensive
database of strong ground-motion recordings released by
Pacific Earthquake Engineering Research Center (PEER).
For more validity verification, the developed equations
were employed to predict the ground-motion parameters
of the Iranian plateau earthquakes. A sensitivity
analysis was carried out to determine the contributions
of the parameters affecting PGA, PGV and PGD. The
sensitivity of the models to the variations of the
influencing parameters was further evaluated through a
parametric analysis. The obtained GMPEs are effectively
capable of estimating the site ground-motion
parameters. The equations provide a prediction
performance better than or comparable with the
attenuation relationships found in the literature. The
derived GMPEs are remarkably simple and straightforward
and can reliably be used for the pre-design purposes.",
- }
Genetic Programming entries for
A H Gandomi
A H Alavi
Mehdi Mousavi
Seyed Morteza Tabatabaei
Citations