Shamim Rahman

Professor

  • 919-515-7633
  • Mann Hall 408

Education

Ph.D. 1977

Civil Engineering

University of California, Berkeley

M.S. 1972

Civil Engineering

Indian Institute of Technology-Kanpur

B.S. 1969

Civil Engineering

Bihar University

Research Description

Dr. Rahman is interested in geomechanics, soil dynamics, numerical methods, probabilistic analysis, containment transport in groundwater.

Publications

Improvement of very soft ground by a high-efficiency vacuum preloading method: A case study
Zheng, G., Liu, J. J., Lei, H. Y., Rahman, M. S., & Tan, Z. K. (2017), Marine Georesources & Geotechnology, 35(5), 631-642.
Low-cycle fatigue and ratcheting responses of elbow piping components
Hassan, T., Rahman, M., & Bari, S. (2015), Journal of Pressure Vessel Technology, 137(3).
Constitutive models in simulating low-cycle fatigue and ratcheting responses of elbow
Hassan, T., & Rahman, M. (2015), Journal of Pressure Vessel Technology, 137(3).
Preliminary structural design of OCAES vessel
Xiao, J. F., Gabr, M., & Rahman, M. S. (2014), (33rd International Conference on Ocean, Offshore and Arctic Engineering, 2014, vol 9B: Ocean Renewable Energy, ).
Evaluation of plate anchors capacity in saturated soils using different constitutive models
Aghazadeh, Z., Rahman, M. S., & Gabr, M. A. (2014), (33rd International Conference on Ocean, Offshore and Arctic Engineering, 2014, vol 3, ).
Application of artificial neural networks to predict the bond strength of FRP-to-concrete joints
Mashrei, M. A., Seracino, R., & Rahman, M. S. (2013), Construction & Building Materials, 40, 812-821.
Standing wave-induced dynamic response and instability of seabed under a caisson breakwater
Ulker, M. B. C., Rahman, M. S., & Guddati, M. N. (2010), (Proceedings of the ASME 29th International Conference on Ocean, Offshore and Arctic Engineering, 2010, vol 1, ) (pp. 737-746).
Wave-induced dynamic response and instability of seabed around caisson breakwater
Ulker, M. B. C., Rahman, M. S., & Guddati, M. N. (2010), Ocean Engineering, 37(17-18), 1522-1545.
Neural networks model and adaptive neuro-fuzzy inference system for predicting the moment capacity of ferrocement members
Mashrei, M. A., Abdulrazzaq, N., Abdalla, T. Y., & Rahman, M. S. (2010), Engineering Structures, 32(6), 1723-1734.
Wave-induced response of seabed: Various formulations and their applicability
Ulker, M. B. C., Rahman, M. S., & Jeng, D. S. (2009), Applied Ocean Research, 31(1), 12-24.

View all publications via NC State Libraries

Grants

Pile Length Determination at Unknown Bridge Foundations
State of Alaska, Department of Transportation(9/23/15 - 9/30/17)
Improved Estimation of Embedded Pile Length for Reuse or for Pile Scour Evaluation
NC Department of Transportation(7/01/15 - 12/31/16)
Fuzzy Neural Network Models for Geotechnical Problems
NC Department of Transportation(7/01/04 - 6/30/07)