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Title

COMPARING GEN ETIC ALGORITHM AND PARTIC LESWARM OPTIMAIZA TION APPROACHES IN INVERSION O F SURFACE WAVE DATA

Year: 1394
COI: SEE07_163
Language: EnglishView: 181
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Authors

Rashed POORMIRZAEE - PhD Candidate, Sahand University of Technology, Tabriz, Iran
Ahmad ZAREAN - Assistance Prof., Islamic Azad University, ShabestarBranch, Shabestar , Iran
Rasoul HAMIDZADEH MOGHADAM - Assistance Prof., Sahand University of Technology, Tabriz, Iran

Abstract:

Shear-wave velocity (Vs) is an important parameter for site characterization in geotechnical and earthquake engineering studies.Shear-wave velocity is in situ measured by various methods including borehole tests, shear-wave refraction and reflection studies and surface-wave techniques. In recent years, surface waves have been increasingly used for d eriving Vsas a function of depth. But, inversio n is the key problem in processing surface wave data for estimating velocity of S-waves. In present study we applied two metaheuristic optimization approac hes, Genetic algorithm (GA) and particle swarm optimization (PSO), for inversion of Rayleigh wave dispersi on curves. GA and PSO are the global optimizat ion methods that belong to metaheuristic searching algorithm s. In geophysical surveys, the application of me taheuristic techniques is novel. After programming the GA and PSO in MATLAB, its efficiency was investigated by a synthetic model. At the end, GA and PSO inversion algorithms were tested on an experrimental Rayleigh wave dispersion curve data which was co llected for seismic hazard assessment in an area of city of Tabriz in the northwest of Iran. Real datasets we re obtained from one stations in south part of Tabriz (near Elgoli Road) that contain Miocene –Pliocene a nd pyroclastic bedrocks. The results proved a pplicability of proposed inversion algorithms in Rayleigh wave dispersion curve inversion. Also, asses sment of two inversion algorithms showed that PSO invers ion algorithm, because of few parameters to ad just, is fast and easy to implement compared to GA inversioon algorithm.

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This Paper COI Code is SEE07_163. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1132364/

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POORMIRZAEE, Rashed and ZAREAN, Ahmad and HAMIDZADEH MOGHADAM, Rasoul,1394,COMPARING GEN ETIC ALGORITHM AND PARTIC LESWARM OPTIMAIZA TION APPROACHES IN INVERSION O F SURFACE WAVE DATA,7th International Conference on Seismology and Earthquake Engineering,Tehran,https://civilica.com/doc/1132364

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Type of center: دانشگاه دولتی
Paper count: 4,318
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