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Neural Computing and Applications

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01.12.2013 | Original Article

Stress–strain modeling of high-strength concrete by the adaptive network-based fuzzy inference system (ANFIS) approach

verfasst von: Hakan Dilmaç, Fuat Demir

Erschienen in: Neural Computing and Applications | Sonderheft 1/2013

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Abstract

In this study, an adaptive network-based fuzzy inference system (ANFIS) approach is presented for modeling of high-strength concrete under uniaxial loading. The ANFIS approach applied to test the data of concrete cylinder test is available in the literature. In this paper, the stress–strain behavior of high-strength concrete subjected to axial load is obtained by using the ANFIS model. It is shown that the present model can predict the stress–strain behavior of concrete accurately by taking into account the effective parameters. The advantage of the proposed approach is that the stress–strain behavior of high-strength concrete can be predicted easily. The results of ANFIS approach are compared with the analytical models given in various studies concerning cylinder tests. The ANFIS approach results given show a good agreement with the experimental results.

Vorheriger Artikel ENSO effect investigation on total monthly precipitation in northern coasts of the Oman Gulf based on fuzzy analysis

Nächster Artikel Observer-based fuzzy adaptive control of nonlinear systems with actuator faults and unmodeled dynamics

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Titel: Stress–strain modeling of high-strength concrete by the adaptive network-based fuzzy inference system (ANFIS) approach
verfasst von: Hakan Dilmaç
Fuat Demir
Publikationsdatum: 01.12.2013
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe Sonderheft 1/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-013-1489-5

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