Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.engappai.2011.01.005 | Eng. Appl. of AI |
Keywords | Field | DocType |
nonlinear modeling,strong ground-motion recording,genetic programming,site ground-motion parameter,principal ground-motion parameter,peak ground acceleration,peak ground displacement,orthogonal least squares,peak ground velocity,ground-motion parameter,time-domain ground-motion parameters,iranian plateau earthquake,new ground-motion prediction equation,proposed gmpes,hybrid computational approach,prediction equations,time domain,sensitivity analysis,strong ground motion,parametric analysis | Magnitude (mathematics),Applied mathematics,Orthogonal least squares,Mathematical optimization,Coupling,Ground motion,Computer science,Simulation,Genetic programming,Peak ground acceleration,Attenuation,Earthquake engineering | Journal |
Volume | Issue | ISSN |
24 | 4 | Engineering Applications of Artificial Intelligence |
Citations | PageRank | References |
19 | 1.49 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Hossein Gandomi | 1 | 1836 | 110.25 |
| Amir Hossein Alavi | 2 | 1016 | 45.59 |
| Mehdi Mousavi | 3 | 24 | 2.76 |
| Seyed Morteza Tabatabaei | 4 | 19 | 1.49 |