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


DİLMAÇ H., DEMİR F.

NEURAL COMPUTING & APPLICATIONS, vol.23, 2013 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23
  • Publication Date: 2013
  • Doi Number: 10.1007/s00521-013-1489-5
  • Journal Name: NEURAL COMPUTING & APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded, Scopus

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.