All Stories

  1. Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance

    Article • Natural Resources Research, July 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  2. Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

    Article • Engineering With Computers, July 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  3. A new hybrid method for predicting ripping production in different weathering zones through in-situ tests

    Article • Measurement, July 2019, Elsevier

    Mohammadreza Koopialipoor

  4. A new approach for estimation of rock brittleness based on non-destructive tests

    Article • Nondestructive Testing And Evaluation, June 2019, Taylor & Francis

    Mohammadreza Koopialipoor

  5. Application of deep neural networks in predicting the penetration rate of tunnel boring machines

    Article • Bulletin of Engineering Geology and the Environment, May 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  6. Application of several optimization techniques for estimating TBM advance rate in granitic rocks

    Article • Journal of Rock Mechanics and Geotechnical Engineering, May 2019, Elsevier

    Mohammadreza Koopialipoor

  7. Investigation of Seismic Reliability Index in Shallow Underground Tunnels by Combining Three Methods of Surface Response, Hasofer–Lind and Finite Element Method

    Article • Geotechnical and Geological Engineering, March 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  8. A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network

    Article • Engineering With Computers, March 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  9. Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN

    Article • Environmental Earth Sciences, February 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  10. A new methodology for optimization and prediction of rate of penetration during drilling operations

    Article • Engineering With Computers, January 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor, Dr. Aydin Azizi

  11. Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques

    Article • Engineering With Computers, January 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  12. The use of new intelligent techniques in designing retaining walls

    Article • Engineering With Computers, January 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  13. Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance

    Article • Engineering With Computers, January 2019, Springer Science + Business Media

    Mohammadreza Koopialipoor

  14. Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique

    Article • IEEE Access, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Mohammadreza Koopialipoor

  15. Overbreak prediction and optimization in tunnel using neural network and bee colony techniques

    Article • Engineering With Computers, October 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  16. Estimation of Rock Mass Squeezing Potential in Tunnel Route (Case Study: Kerman Water Conveyance Tunnel)

    Article • Geotechnical and Geological Engineering, October 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  17. Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques

    Article • Engineering With Computers, September 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  18. Predicting tunnel boring machine performance through a new model based on the group method of data handling

    Article • Bulletin of Engineering Geology and the Environment, July 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  19. Various effective factors on peak uplift resistance of pipelines in sand: a comparative study

    Article • International Journal of Geotechnical Engineering, June 2018, Taylor & Francis

    Mohammadreza Koopialipoor

  20. A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls

    Article • Engineering With Computers, June 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  21. Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

    Article • Soft Computing, May 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  22. Determination of the Racking Reduction Factor in a Horseshoe Shaped Tunnel Section Considering the Soil-Structure Interaction

    Article • Geotechnical and Geological Engineering, May 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  23. Three hybrid intelligent models in estimating flyrock distance resulting from blasting

    Article • Engineering With Computers, March 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor, Dr. Aydin Azizi

  24. Numerical Investigation of Closed-Form Solutions for Seismic Design of a Circular Tunnel Lining (by Quasi-Static Method)

    Article • Civil Engineering Journal, February 2018, Italian Journal of Science and Engineering

    Mohammadreza Koopialipoor

  25. A Risk-Based Technique to Analyze Flyrock Results Through Rock Engineering System

    Article • Geotechnical and Geological Engineering, January 2018, Springer Science + Business Media

    Mohammadreza Koopialipoor

  26. A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels

    Article • Bulletin of Engineering Geology and the Environment, July 2017, Springer Science + Business Media

    Mohammadreza Koopialipoor