Adaptive Neuro-Fuzzy Inference Approach for Back Analysis of Workability

Abstract:

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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 et al., "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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Price:

$35.00

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