Majid Mirahmadi
- Predicting Friction Capacity of Driven Piles Using New Combinations of Neural Networks and Metaheuristic Optimization Algorithms. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023). (2023):
- Application of the Cohesion Softening–Friction Softening and the Cohesion Softening–Friction Hardening Models of Rock Mass Behavior to Estimate the Specific Energy of TBM, Case Study: Amir–Kabir Water Conveyance Tunnel in Iran. Dans: Geotechnical and Geological Engineering, v. 37, n. 1 (16 juillet 2018). (2018):