Paper Title:
Adaptive Neuro-Fuzzy Inference Approach for Back Analysis of Workability
  Abstract

The usual research method, on rheology of fresh self-compacting concrete, is that the regression models between rheological parameters and workability were established, and then the rheological test was operated to control fresh SCC. But, there is no rheometer used widely on site, already. So this paper developed an adaptive neuro-fuzzy inference approach of the back analysis of workability on fresh SCC rheology, and workability tests can be taken to inverse the rheological parameters, by adaptive neuro-fuzzy inference system. In order to check the correctness of this approach, a rheological problem of fresh SCC was solved by it, and the inversion results were in good agreement with the rheological parameters, and the predication accuracy of ANFIS models was quite sufficient to meet the engineering requirement.

  Info
Periodical
Edited by
Honghua Tan
Pages
1348-1355
DOI
10.4028/www.scientific.net/AMM.66-68.1348
Citation
Z. Shan, J. J. Shi, E. Xiong, X. L. Wu, "Adaptive Neuro-Fuzzy Inference Approach for Back Analysis of Workability", Applied Mechanics and Materials, Vols. 66-68, pp. 1348-1355, 2011
Online since
July 2011
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