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Neural Analysis of Concrete Shrinkage

  • Anna Urbańska
  • Zenon Waszczyszyn
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Abstract

Results of tests on laboratory specimens were selected from the data bank described in [4]. The tests on concrete plates concerning the shrinkage strains up to 435 days at nearly stationary humidity and temperatures were accepted as a data to compare the experimental results with the Eurocode 2 recommendations [3]. The comparison was made by means of three neural networks: BPNN-Rprop, RBFNN and ANFIS. It was stated that the RBFNN approximation is close to EC curves.

Keywords

Shrinkage Strain Laboratory Specimen Gaussian Membership Function Neural Network Toolbox Concrete Plate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Denmuth H, Beale M (1998) Neural network toolbox for use with Matlab, User’s Guide, Version 3. The Math WorksGoogle Scholar
  2. [2]
    Denmuth H, Beale M (1998) Fuzzy logic toolbox for use with Matlab, User’s Guide, Version 3. The Math WorksGoogle Scholar
  3. [3]
    ENV 1992–1–1: (1992) Eurocode 2, Design of concrete structures, P.1: General rules and rules for buildingsGoogle Scholar
  4. [4]
    Ligeza W, (2002) Redistribution of internal forces in braced concrete plate elements (in Polish), Dept. Civil Eng., Cracow Univ. of Technology, Monograph No 277.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Anna Urbańska
    • 1
  • Zenon Waszczyszyn
    • 2
  1. 1.Department of Civil and Environmental EngineeringUniversity of Zielona GóraZielona GóraPoland
  2. 2.Institute of computer Methods in Civil EngineeringCracow University of TechnologyKrakówPoland

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