All Stories

  1. Characterization of ferrochrome slag as a controlled low-strength structural fill material

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

    Dr Sarat Kumar Das

  2. First-Order Reliability Method for Probabilistic Evaluation of Liquefaction Potential of Soil Using Genetic Programming

    Article • International Journal of Geomechanics, June 2015, American Society of Civil Engineers (ASCE)

    Dr Sarat Kumar Das

  3. Model uncertainty of SPT-based method for evaluation of seismic soil liquefaction potential using multi-gene genetic programming

    Article • SOILS AND FOUNDATIONS, April 2015, Elsevier

    Dr Sarat Kumar Das

  4. Prediction of Lateral Load Capacity of Pile in Clay Using Multivariate Adaptive Regression Spline and Functional Network

    Article • Arabian Journal for Science and Engineering, March 2015, Springer Science + Business Media

    Dr Sarat Kumar Das

  5. Lateral Load Capacity of Piles in Clay Using Genetic Programming and Multivariate Adaptive Regression Spline

    Article • Indian Geotechnical Journal, January 2015, Springer Science + Business Media

    Dr Sarat Kumar Das, swagatika senapati

  6. Prediction of lateral load capacity of piles using extreme learning machine

    Article • International Journal of Geotechnical Engineering, October 2013, Taylor & Francis

    Dr Sarat Kumar Das

  7. Uplift Capacity of Suction Caisson in Clay Using Artificial Intelligence Techniques

    Article • Marine Georesources and Geotechnology, October 2013, Taylor & Francis

    Dr Sarat Kumar Das

  8. CPT-based Seismic Liquefaction Potential Evaluation Using Multi-gene Genetic Programming Approach

    Article • Indian Geotechnical Journal, March 2013, Springer Science + Business Media

    Dr Sarat Kumar Das

  9. Artificial Neural Networks in Geotechnical Engineering

    Article • January 2013, Elsevier

    Dr Sarat Kumar Das

  10. SPT-Based Probabilistic Method for Evaluation of Liquefaction Potential of Soil Using Multi-Gene Genetic Programming

    Article • International Journal of Geotechnical Earthquake Engineering, January 2013, IGI Global

    Dr Sarat Kumar Das

  11. Lateral Displacement of Liquefaction Induced Ground Using Least Square Support Vector Machine

    Article • International Journal of Geotechnical Earthquake Engineering, June 2011, IGI Global

    Dr Sarat Kumar Das

  12. Prediction of the Dynamic Soil-Pile Interaction under Coupled Vibration Using Artificial Neural Network Approach

    Article • March 2011, American Society of Civil Engineers (ASCE)

    Dr Sarat Kumar Das

  13. Parameter Optimization of Rock Failure Criterion Using Error-in-Variables Approach

    Article • International Journal of Geomechanics, February 2011, American Society of Civil Engineers (ASCE)

    Dr Sarat Kumar Das

  14. Classification of slopes and prediction of factor of safety using differential evolution neural networks

    Article • Environmental Earth Sciences, January 2011, Springer Science + Business Media

    Dr Sarat Kumar Das

  15. Machine learning techniques applied to prediction of residual strength of clay

    Article • Open Geosciences, January 2011, De Gruyter

    Dr Sarat Kumar Das

  16. Application of Artificial Intelligence to Maximum Dry Density and Unconfined Compressive Strength of Cement Stabilized Soil

    Article • Geotechnical and Geological Engineering, November 2010, Springer Science + Business Media

    Dr Sarat Kumar Das

  17. Discussion of “Reliability-Based Economic Design Optimization of Spread Foundations” by Y. Wang

    Article • Journal of Geotechnical and Geoenvironmental Engineering, November 2010, American Society of Civil Engineers (ASCE)

    Dr Sarat Kumar Das

  18. Discussion of “Intelligent computing for modeling axial capacity of pile foundations”Appears in Canadian Geotechnical Journal, 47 (2): 230–243.

    Article • Canadian Geotechnical Journal, August 2010, Canadian Science Publishing

    Dr Sarat Kumar Das

  19. Prediction of swelling pressure of soil using artificial intelligence techniques

    Article • Environmental Earth Sciences, November 2009, Springer Science + Business Media

    Dr Sarat Kumar Das

  20. Comparison of intact rock failure criteria using various statistical methods

    Article • Acta Geotechnica, May 2009, Springer Science + Business Media

    Dr Sarat Kumar Das

  21. Utilization of self-organizing map and fuzzy clustering for site characterization using piezocone data

    Article • Computers and Geotechnics, January 2009, Elsevier

    Dr Sarat Kumar Das

  22. Application of Soft Computing Techniques to Expansive Soil Characterization

    Article • January 2009, Springer Science + Business Media

    Dr Sarat Kumar Das

  23. Prediction of residual friction angle of clays using artificial neural network

    Article • Engineering Geology, September 2008, Elsevier

    Dr Sarat Kumar Das

  24. Undrained lateral load capacity of piles in clay using artificial neural network

    Article • Computers and Geotechnics, December 2006, Elsevier

    Dr Sarat Kumar Das

  25. A simplified model for prediction of pozzolanic characteristics of fly ash, based on chemical composition

    Article • Cement and Concrete Research, October 2006, Elsevier

    Dr Sarat Kumar Das

  26. Comparison study of parameter estimation techniques for rock failure criterion models

    Article • Canadian Geotechnical Journal, July 2006, Canadian Science Publishing

    Dr Sarat Kumar Das

  27. Geotechnical Properties of Low Calcium and High Calcium Fly Ash

    Article • Geotechnical and Geological Engineering, April 2006, Springer Science + Business Media

    Dr Sarat Kumar Das

  28. Geotechnical Characterization of Some Indian Fly Ashes

    Article • Journal of Materials in Civil Engineering, October 2005, American Society of Civil Engineers (ASCE)

    Dr Sarat Kumar Das