Shamim Rahman


  • 919-515-7633
  • Mann Hall 408


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.


An Enhanced Generalized Plasticity Model for Coarse Granular Material considering Particle Breakage
Cen, W. J., Luo, J. R., Zhang, W. D., & Rahman, M. S. (2018), ADVANCES IN CIVIL ENGINEERING.
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.
Uplift capacity of plate anchors in saturated clays: Analyses with different constitutive models
Ardebili, Z. A., Gabr, M. A., & Rahman, M. S. (2016), International Journal of Geomechanics, 16(2).
Constitutive models in simulating low-cycle fatigue and ratcheting responses of elbow
Hassan, T., & Rahman, M. (2015), Journal of Pressure Vessel Technology, 137(3).
Low-cycle fatigue and ratcheting responses of elbow piping components
Hassan, T., Rahman, M., & Bari, S. (2015), Journal of Pressure Vessel Technology, 137(3).
Evaluation of plate anchors capacity in saturated soils using different constitutive models
Aghazadeh, Z., Rahman, M. S., & Gabr, M. A. (2014),
Preliminary structural design of OCAES vessel
Xiao, J. F., Gabr, M., & Rahman, M. S. (2014),
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.
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.
Standing wave-induced dynamic response and instability of seabed under a caisson breakwater
Ulker, M. B. C., Rahman, M. S., & Guddati, M. N. (2010), (pp. 737–746).

View all publications via NC State Libraries


Field testing and calibration of EDAR Method for Estimating Embedded Depth of Pile Foundations in North Carolina
NC Department of Transportation(10/01/17 - 9/30/19)
Pile Length Determination at Unknown Bridge Foundations
State of Alaska, Department of Transportation(9/23/15 - 9/30/19)
Improved Estimation of Embedded Pile Length for Reuse or for Pile Scour Evaluation
NC Department of Transportation(7/01/15 - 6/30/17)
Fuzzy Neural Network Models for Geotechnical Problems
NC Department of Transportation(7/01/04 - 6/30/07)