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Moving Load Identification in Time Domain Using a Coupled Genetic Algorithm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 338))

Abstract

This study deals with a method to identify moving loads on bridge decks using the finite element method (FEM) and a coupled genetic algorithm(c-GA). We developed the inverse technique using a coupled genetic algorithm which can make global solution searches possible as opposed to classical gradient-based optimization techniques. The technique described in this paper may allow us not only to detect the weight of moving vehicles but also to find their moving velocities. 1-D and 3-D finite element models are simulated to study the influence of measurement errors and model uncertainty between numerical and real structures.

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© 2012 Springer-Verlag Berlin Heidelberg

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Noh, MH., Lee, SY. (2012). Moving Load Identification in Time Domain Using a Coupled Genetic Algorithm. In: Cho, Hs., Kim, Th., Mohammed, S., Adeli, H., Oh, Mk., Lee, KW. (eds) Green and Smart Technology with Sensor Applications. ICTSM SIA GST 2011 2012 2012. Communications in Computer and Information Science, vol 338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35251-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-35251-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35250-8

  • Online ISBN: 978-3-642-35251-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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