Generating synthetic ground motions reaching target spectrum with the optimization approach

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@Article{TAVAKOLI:2023:istruc,

• author = "Pouya Tavakoli and Hossein Rahami",
• title = "Generating synthetic ground motions reaching target spectrum with the optimization approach",
• journal = "Structures",
• volume = "58",
• pages = "105480",
• year = "2023",
• ISSN = "2352-0124",
• DOI = "doi:10.1016/j.istruc.2023.105480",
• URL = "https://www.sciencedirect.com/science/article/pii/S2352012423015680",
• keywords = "genetic algorithms, genetic programming, Synthetic ground motion, Artificial earthquake, Artificial ground motion, Artificial accelerogram, Target spectrum, Covariance matrix adaptation evolution strategy(CMA-ES) method, Optimization algorithms, Envelope function",
• abstract = "Due to the scarcity of earthquake records and the necessity of the earthquakes matched with the predefined design response spectrum (DRS) for time history analysis, designers need to generate artificial earthquakes. The smoothness of the DRS prevents conformity in the majority of methods, and deviation happens, especially in the constant region. To overcome this condition, the present study intends to incorporate the optimization algorithm with the synthetic earthquake method to reach the ASCE DRS. Indeed, the statistical algorithm is used to explore the global optimum with more accuracy and faster convergence in comparison with other algorithms. The results demonstrate that the proposed method is ideally compatible with the DRS with trivial errors. Furthermore, the novel approach has been applied to Kobe and Tabas earthquakes in order to extract the envelope function to improve compatibility in the time domain. In essence, the proposed method is not only compatible with the DRS simply but also appropriate for simulating real earthquakes. Eventually, with regard to the recommendation of seismic regulations for applying several records in dynamic analysis, one of the robust advantages of this method is to generate various earthquakes compatible with the specific target spectrum",

}

Genetic Programming entries for Pouya Tavakoli Hossein Rahami

Citations