Prediction of Parameters of Soil Stratums and Earthen Dams from Free Field Acceleration Records
العنوان: | Prediction of Parameters of Soil Stratums and Earthen Dams from Free Field Acceleration Records |
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المؤلفون: | Hamid Afra, Zamila Harichane, Ayfer Erken, Mourad A. Khellafi |
المصدر: | International Journal of Geotechnical Earthquake Engineering. 7:33-56 |
بيانات النشر: | IGI Global, 2016. |
سنة النشر: | 2016 |
مصطلحات موضوعية: | 021110 strategic, defence & security studies, Engineering, business.industry, 0211 other engineering and technologies, Experimental data, 02 engineering and technology, Structural engineering, Geotechnical Engineering and Engineering Geology, Accelerometer, Free field, Identification (information), Acceleration, Search algorithm, Genetic algorithm, Soil horizon, Geotechnical engineering, business, 021101 geological & geomatics engineering |
الوصف: | This paper is dedicated to the identification of parameters of soil stratums and earthen dams from accelerometer records by inverse analysis using three kinds of optimization algorithms. The first one is the Levenberg-Marquart (L-M) gradient-based method, the second one is based on a genetic algorithm (G-A) optimization process, and the third one combines the two search algorithms to complete the identification task more efficiently. The efficiency of the two first algorithms is studied by identifying the unknown parameters of a multilayer soil profile. Then, the global -local hybrid scheme is applied to identify the soil profile characteristics and determine some information gaps using experimental data recorded within the Adapazari city during the Kocaeli earthquake of August 17, 1999. Finally, the applicability of the proposed identification procedure is verified through comparison of the parameter identification results and experimental ones at Bradbury dam by using ground motions records during the 1978 Santa Barbara earthquake (in USA). |
تدمد: | 1947-8496 1947-8488 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::a94271e47050f68fad205b3aeb6b62b5 https://doi.org/10.4018/ijgee.2016010103 |
رقم الأكسشن: | edsair.doi...........a94271e47050f68fad205b3aeb6b62b5 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 19478496 19478488 |
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