Use of a Neural Network for Damage Detection and Location in a Steel Member

Poul Henning Kirkegaard, A. Rytter

    Publikation: Bog/antologi/afhandling/rapportRapportForskning

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    Abstract

    The paper explores the potential of using a Multilayer Perceptron (MLP) network trained with the Backpropagation algorithm for damage assessment of free-free cracked straight steel beam based on vibration measurements. The problem of damage assessment, i.e. detecting, locating and quantifying a damage, is essentially a pattern recognition problem.
    OriginalsprogEngelsk
    UdgivelsesstedAalborg
    ForlagDept. of Building Technology and Structural Engineering, Aalborg University
    StatusUdgivet - 1992
    NavnFracture and Dynamics
    Nummer41
    Vol/bindR9245
    ISSN0902-7513

    Bibliografisk note

    Presented at the "Third International Conference on the Application of Artificial Intelligence of Civil and Structural Engineering", Edingburgh, 17th-19th August, 1993

    PDF for print: 15 pp.

    Emneord

    • Neural Networks
    • Damage Detection
    • Damage Locating
    • Pattern Recognition

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