Prediction of the performance of impact hammer by adaptive neuro-fuzzy inference system modelling

KÜÇÜK K., AKSOY C. O., Basarir H., ONARGAN T., Genis M., ÖZACAR V.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, vol.26, no.1, pp.38-45, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 1
  • Publication Date: 2011
  • Doi Number: 10.1016/j.tust.2010.06.011
  • Journal Name: TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.38-45
  • Keywords: Impact hammer, Block punch strength index, Net excavation, Multiple regression modelling, Adaptive neuro-fuzzy inference system modelling, NETWORK, STRENGTH, MODULUS
  • Dokuz Eylül University Affiliated: Yes

Abstract

Impact type excavators are widely used for excavations, performed in weak-laminated-foliated-anisotropic rocks. Therefore the prediction of the performance of impact hammer is very important in many mining and civil engineering projects.