Saffet Yagiz
- Evaluation of Hard Rock Tunnel Boring Machine (TBM) Performance Using Stochastic Modeling. In: Geotechnical and Geological Engineering, v. 41, n. 6 (21 April 2023). (2023):
- Soft sedimentary rocks and their boreability characteristics in mechanised tunnelling projects. In: Geomechanics and Tunnelling, v. 16, n. 1 (Februar 2023). (2023):
- Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches. In: Tunnelling and Underground Space Technology, v. 118 (Dezember 2021). (2021):
- A Comprehensive Evaluation of Machine Learning Algorithms on Application to Predict TBM Performance. In: Underground Space, v. 7, n. 1 (Februar 2022). (2022):
- Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition. In: Tunnelling and Underground Space Technology, v. 63 (März 2017). (2017):
- Utilizing rock mass properties for predicting TBM performance in hard rock condition. In: Tunnelling and Underground Space Technology, v. 23, n. 3 (Mai 2008). (2008):
- Assessment of brittleness using rock strength and density with punch penetration test. In: Tunnelling and Underground Space Technology, v. 24, n. 1 (Januar 2009). (2009):