New Predictive Models for the v max/a max Ratio of Strong Ground Motions using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{Kermani:2009:IJCE,

• author = "E. Kermani and Y. Jafarian and M. H. Baziar",
• title = "New Predictive Models for the v max/a max Ratio of Strong Ground Motions using Genetic Programming",
• journal = "International Journal of Civil Engineering",
• year = "2009",
• volume = "7",
• number = "4",
• pages = "236--247",
• month = dec,
• keywords = "genetic algorithms, genetic programming, earthquake, v max/a max ratio, predictive equation",
• ISSN = "1735-0522",
• broken = "http://ijce.iust.ac.ir/browse.php?a_code=A-10-3-237&slc_lang=en&sid=1",
• URL = "http://ijce.iust.ac.ir/IJCE-v7n4p236.pdf",
• size = "12 pages",
• abstract = "Although there is enough knowledge indicating on the influence of frequency content of input motion on the deformation demand of structures, state-of-the-practice seismic studies use the intensity measures such as peak ground acceleration (PGA) which are not frequency dependent. The v max/a max ratio of strong ground motions can be used in seismic hazard studies as the representative of frequency content of the motions. This ratio can be indirectly estimated by the attenuation models of PGA and PGV which are functions of earthquake magnitude, source to site distance, faulting mechanism, and local site conditions. This paper presents new predictive equations for v max/a max ratio based on genetic programming (GP) approach. The predictive equations are established using a reliable database released by Pacific Earthquake Engineering Research Center (PEER) for three types of faulting mechanisms including strikeslip, normal and reverse. The proposed models provide reasonable accuracy to estimate the frequency content of site ground motions in practical projects. The results of parametric study demonstrate that v max/a max increases through increasing earthquake moment magnitude and source to site distance while it decreases with increasing the average shear-wave velocity over the top 30m of the site.",

}

Genetic Programming entries for Elnaz Kermani Yaser Jafarian Mohammad Hassan Baziar

Citations