Education

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)

×

Field testing and calibration of EDAR Method for Estimating Embedded Depth of Pile Foundations in North Carolina

Sponsor: NC Department of Transportation

Start Date: 10/01/17

End Date: 9/30/19

Abstract

NCDOT continues to face significant challenge to ensure that the foundations of bridges are strong enough for public safety. One of the primary issues is scour around the supporting pile foundations, potentially compromising the integrity of the foundation system. Given this, combined with the fact that many foundation records are missing, there is a critical need to estimate the embedded length of pile foundations. Estimating the embedded pile depth would also cater to the need to estimate the strength of existing foundations for reuse, which is also promoted by FHWA and actively pursued by NCDOT.

Close

Pile Length Determination at Unknown Bridge Foundations

State of Alaska, Department of Transportation(9/23/15 - 9/30/19)

×

Pile Length Determination at Unknown Bridge Foundations

Sponsor: State of Alaska, Department of Transportation

Start Date: 9/23/15

End Date: 9/30/19

Abstract

This is a proposal for a two-year project for the Alaska Department of Transportation and Public Facilities (AKDOT&PF), for the development and implementation of non-destructive testing techniques to determine the length of piles supporting bridge substructures. Fifty two bridges in AKDOT&PF’s inventory have undocumented foundation characteristics (U-bridges); the most common unknown variable is pile length. This complicates evaluation of substructure vulnerability to scour, which is a mandatory evaluation at all bridges, per the Federal Highway Administration (FHWA).

Close

Improved Estimation of Embedded Pile Length for Reuse or for Pile Scour Evaluation

NC Department of Transportation(7/01/15 - 6/30/17)

×

Improved Estimation of Embedded Pile Length for Reuse or for Pile Scour Evaluation

Sponsor: NC Department of Transportation

Start Date: 7/01/15

End Date: 6/30/17

Abstract

NCDOT continues to face significant challenge to ensure that the foundations of bridges are strong enough to ensure public safety. One of the primary issues is scour around the supporting pile foundations, potentially compromising the integrity of the foundation system. This, combined with the fact that many foundation records are missing, there is a critical need to estimate the embedded length of pile foundations. Estimating the embedded pile depth would also cater to the need to estimate the strength of existing foundations for reuse, which is also actively promoted by FHWA.

Close

Fuzzy Neural Network Models for Geotechnical Problems

NC Department of Transportation(7/01/04 - 6/30/07)

×

Fuzzy Neural Network Models for Geotechnical Problems

Sponsor: NC Department of Transportation

Start Date: 7/01/04

End Date: 6/30/07

Abstract

Neural Network Models will be developed for the prediction of pile capacity and assessment of pile derivability.

Close