IDEAS home Printed from https://ideas.repec.org/a/igg/jgee00/v7y2016i1p33-56.html
   My bibliography  Save this article

Prediction of Parameters of Soil Stratums and Earthen Dams from Free Field Acceleration Records

Author

Listed:
  • Mourad A. Khellafi

    (University Mouloud Mammeri of Tizi Ouzou and Civil Engineering Department, University of Djelfa, Djelfa, Algeria)

  • Zamila Harichane

    (Geomaterials Laboratory, University of Chlef, Chelf, Algeria)

  • Hamid Afra

    (Building Research Center, CNERIB, Algiers, Algeria)

  • Ayfer Erken

    (Civil Engineering Faculty, Istanbul Technical University, Istanbul, Turkey)

Abstract

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).

Suggested Citation

  • Mourad A. Khellafi & Zamila Harichane & Hamid Afra & Ayfer Erken, 2016. "Prediction of Parameters of Soil Stratums and Earthen Dams from Free Field Acceleration Records," International Journal of Geotechnical Earthquake Engineering (IJGEE), IGI Global, vol. 7(1), pages 33-56, January.
    • Handle: RePEc:igg:jgee00:v:7:y:2016:i:1:p:33-56
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJGEE.2016010103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jgee00:v:7:y:2016:i:1:p:33-56. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.