- Estimating the Wear Rate of Diamond Cutting Wire Bead in Building Stone Cutting Using SVR and GA_MLP System. Dans: Geotechnical and Geological Engineering, v. 40, n. 12 (24 juillet 2022). (2022):
- Prediction of Rock Abrasivity Index (RAI) and Uniaxial Compressive Strength (UCS) of Granite Building Stones Using Nondestructive Tests. Dans: Geotechnical and Geological Engineering, v. 40, n. 6 (31 mars 2022). (2022):
- Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree. Dans: Geotechnical and Geological Engineering, v. 35, n. 4 (21 février 2017). (2017):
- Development of a new test method for evaluating the abrasivity of granite building stones during polishing process based on weight loss of abrasive tool. Dans: Construction and Building Materials, v. 303 (octobre 2021). (2021):
- The Dangerous Condition of Ground during High Overburden Tunneling (A Case Study in Iran). Dans: Periodica Polytechnica Civil Engineering, v. 60, n. 1 ( 2016). (2016):
- Experimental study on the influence of the different percentage of nanoparticles on strength and freeze–thaw durability of shotcrete. Dans: Construction and Building Materials, v. 256 (septembre 2020). (2020):
- Application of bacterial nanocellulose fibers as reinforcement in cement composites. Dans: Construction and Building Materials, v. 241 (avril 2020). (2020):
- Analytical and numerical investigations of dynamic crack propagation in brittle rocks under mixed mode loading. Dans: Construction and Building Materials, v. 222 (octobre 2019). (2019):
- Numerical simulation of methane distribution in development zones of underground coal mines equipped with auxiliary ventilation. Dans: Tunnelling and Underground Space Technology, v. 89 (juillet 2019). (2019):
- Application of carbonate precipitating bacteria for improving properties and repairing cracks of shotcrete. Dans: Construction and Building Materials, v. 148 (septembre 2017). (2017):
- Stability assessment of hard rock pillars using two intelligent classification techniques: A comparative study. Dans: Tunnelling and Underground Space Technology, v. 68 (septembre 2017). (2017):