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
Link To Document :
بازگشت