• DocumentCode
    1791754
  • Title

    Evaluating structural engineering finite element analysis data using multiway analysis

  • Author

    Radovic, Matija ; McConnell, Jennifer

  • Author_Institution
    Civil Eng. Dept., Univ. of Delaware, Newark, DE, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    The scope of this paper is to introduce multiway analysis into structural engineering research and to outline methodology used in tensor decomposition of finite element analysis (FEA) data. More specifically, the example evaluated herein evaluates the stress distribution of two different highway bridge structural components (girders and cross frames), being subjected to incrementally increasing forces. Additionally, the paper shows potential advantages of using multiway methods in interpretation of FEA data and makes recommendations for future investigations on the use of multiway methods in FEA postprocessing of structural engineering data.
  • Keywords
    beams (structures); bridges (structures); finite element analysis; structural engineering computing; supports; tensors; FEA data; cross frames; girders; highway bridge structural components; multiway analysis; stress distribution; structural engineering finite element analysis data evaluation; tensor decomposition; Bridges; Finite element analysis; Flanges; Loading; Structural beams; Tensile stress; Multiway analysis; Tucker3 model; bridge engineering; finite element analysis; structural engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004433
  • Filename
    7004433