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


DİLMAÇ H. , DEMİR F.

NEURAL COMPUTING & APPLICATIONS, cilt.23, 2013 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 23
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1007/s00521-013-1489-5
  • Dergi Adı: NEURAL COMPUTING & APPLICATIONS

Özet

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.