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  • Prediction of maximum wave-induced liquefaction in porous seabed using multi-artificial neural network model

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    Author(s)
    Cha, Daeho Fred
    Zhang, Hong
    Blumenstein, Michael
    Griffith University Author(s)
    Zhang, Hong
    Year published
    2011
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    Abstract
    In the last few decades, considerable efforts have been devoted to the phenomenon of wave-induced liquefactions, because it is one of the most important factors for analysing the seabed and designing marine structures. Although numerous studies of wave-induced liquefaction have been carried out, comparatively little is known about the impact of liquefaction on marine structures. Furthermore, most previous researches have focused on complicated mathematical theories and some laboratory work. In the present study, a data dependent approach for the prediction of the wave-induced liquefaction depth in a porous seabed is proposed, ...
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    In the last few decades, considerable efforts have been devoted to the phenomenon of wave-induced liquefactions, because it is one of the most important factors for analysing the seabed and designing marine structures. Although numerous studies of wave-induced liquefaction have been carried out, comparatively little is known about the impact of liquefaction on marine structures. Furthermore, most previous researches have focused on complicated mathematical theories and some laboratory work. In the present study, a data dependent approach for the prediction of the wave-induced liquefaction depth in a porous seabed is proposed, based on a multi-artificial neural network (MANN) method. Numerical results indicate that the MANN model can provide an accurate prediction of the wave-induced maximum liquefaction depth with 10% of the original database. This study demonstrates the capacity of the proposed MANN model and provides coastal engineers with another effective tool to analyse the stability of the marine sediment.
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    Journal Title
    Ocean Engineering
    Volume
    38
    Issue
    7
    DOI
    https://doi.org/10.1016/j.oceaneng.2010.08.002
    Copyright Statement
    © 2010 Elsevier Inc. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Oceanography
    Civil engineering
    Maritime engineering
    Maritime engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/37529
    Collection
    • Journal articles

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