Neural Analysis of Concrete Shrinkage

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


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.


Shrinkage Strain Laboratory Specimen Gaussian Membership Function Neural Network Toolbox Concrete Plate 
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    Denmuth H, Beale M (1998) Neural network toolbox for use with Matlab, User’s Guide, Version 3. The Math WorksGoogle Scholar
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    Denmuth H, Beale M (1998) Fuzzy logic toolbox for use with Matlab, User’s Guide, Version 3. The Math WorksGoogle Scholar
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    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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