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, cilt.26, sa.1, ss.38-45, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 1
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.tust.2010.06.011
  • Dergi Adı: TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.38-45
  • Anahtar Kelimeler: Impact hammer, Block punch strength index, Net excavation, Multiple regression modelling, Adaptive neuro-fuzzy inference system modelling, NETWORK, STRENGTH, MODULUS
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.