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

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. https://doi.org/10.1155/2018/7242936
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. https://doi.org/10.1080/1064119x.2016.1215363
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). https://doi.org/10.1061/(asce)gm.1943-5622.0000518
Constitutive models in simulating low-cycle fatigue and ratcheting responses of elbow
Hassan, T., & Rahman, M. (2015), Journal of Pressure Vessel Technology, 137(3). https://doi.org/10.1115/1.4029069
Low-cycle fatigue and ratcheting responses of elbow piping components
Hassan, T., Rahman, M., & Bari, S. (2015), Journal of Pressure Vessel Technology, 137(3). https://doi.org/10.1115/1.4029068
Evaluation of plate anchors capacity in saturated soils using different constitutive models
Aghazadeh, Z., Rahman, M. S., & Gabr, M. A. (2014), In 33rd International Conference on Ocean, Offshore and Arctic Engineering, 2014, vol 3. https://doi.org/10.1115/omae2014-24226
Preliminary structural design of OCAES vessel
Xiao, J. F., Gabr, M., & Rahman, M. S. (2014), In 33rd International Conference on Ocean, Offshore and Arctic Engineering, 2014, vol 9B: Ocean Renewable Energy. https://doi.org/10.1115/omae2014-24053
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. https://doi.org/10.1016/j.conbuildmat.2012.11.109
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. https://doi.org/10.1016/j.engstruct.2010.02.024
Standing wave-induced dynamic response and instability of seabed under a caisson breakwater
Ulker, M. B. C., Rahman, M. S., & Guddati, M. N. (2010), In Proceedings of the ASME 29th International Conference on Ocean, Offshore and Arctic Engineering, 2010, vol 1 (pp. 737–746). https://doi.org/10.1115/omae2010-20524

View all publications via NC State Libraries

Grants

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)