Determining propeller induced erosion alongside quay walls in harbours using Artificial Neural Networks

Donal Ryan, Gerard A. Hamill, Harold T. Johnston

    Research output: Contribution to journal › Article

    12 Citations (Scopus)

    Abstract

    In shallow waters, such as those found close to berth structures, the wash from a manoeuvring ship’s propeller can cause erosion of the seabed. This erosion can be increased if the wash intersects a berth structure. A number of researchers have undertaken model studies and used regression analysis to develop predictive relationships for the scouring action. This paper presents an experimental investigation with Artificial Neural Networks (ANN’s), used to analyse the results. The purpose of using ANN’s was to examine the prediction accuracy of the Networks in comparison with previous regression analysis methods. ANN’s were found to provide a more accurate method of predicting propeller wash scour than the equations presented by previous investigators.
    LanguageEnglish
    Pages142-151
    Number of pages9
    JournalOcean Engineering
    Volume59
    Issue numbernull
    DOIs
    Publication statusPublished - 01 Feb 2013

    Fingerprint

    Quay walls
    Propellers
    Ports and harbors
    Erosion
    Neural networks
    Regression analysis
    Ship propellers
    Scour
    Water

    Cite this

    Ryan, Donal ; Hamill, Gerard A. ; Johnston, Harold T. / Determining propeller induced erosion alongside quay walls in harbours using Artificial Neural Networks. In: Ocean Engineering. 2013 ; Vol. 59, No. null. pp. 142-151.
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    abstract = "In shallow waters, such as those found close to berth structures, the wash from a manoeuvring ship’s propeller can cause erosion of the seabed. This erosion can be increased if the wash intersects a berth structure. A number of researchers have undertaken model studies and used regression analysis to develop predictive relationships for the scouring action. This paper presents an experimental investigation with Artificial Neural Networks (ANN’s), used to analyse the results. The purpose of using ANN’s was to examine the prediction accuracy of the Networks in comparison with previous regression analysis methods. ANN’s were found to provide a more accurate method of predicting propeller wash scour than the equations presented by previous investigators.",
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    Ryan, D, Hamill, GA & Johnston, HT 2013, 'Determining propeller induced erosion alongside quay walls in harbours using Artificial Neural Networks', Ocean Engineering, vol. 59, no. null, pp. 142-151. https://doi.org/10.1016/j.oceaneng.2012.10.018

    Determining propeller induced erosion alongside quay walls in harbours using Artificial Neural Networks. / Ryan, Donal; Hamill, Gerard A.; Johnston, Harold T.

    In: Ocean Engineering, Vol. 59, No. null, 01.02.2013, p. 142-151.

    Research output: Contribution to journal › Article

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    AU - Hamill, Gerard A.

    AU - Johnston, Harold T.

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    AB - In shallow waters, such as those found close to berth structures, the wash from a manoeuvring ship’s propeller can cause erosion of the seabed. This erosion can be increased if the wash intersects a berth structure. A number of researchers have undertaken model studies and used regression analysis to develop predictive relationships for the scouring action. This paper presents an experimental investigation with Artificial Neural Networks (ANN’s), used to analyse the results. The purpose of using ANN’s was to examine the prediction accuracy of the Networks in comparison with previous regression analysis methods. ANN’s were found to provide a more accurate method of predicting propeller wash scour than the equations presented by previous investigators.

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    Ryan D, Hamill GA, Johnston HT. Determining propeller induced erosion alongside quay walls in harbours using Artificial Neural Networks. Ocean Engineering. 2013 Feb 1;59(null):142-151. https://doi.org/10.1016/j.oceaneng.2012.10.018

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