Prediction of the performance of impact hammer by adaptive neuro-fuzzy inference system modelling
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, cilt.26, sa.1, ss.38-45, 2011 (SCI-Expanded, Scopus)
- 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
- 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.