M Rahman
Education
Ph.D. Civil Engineering University of California, Berkeley 1977
M.S. Civil Engineering Indian Institute of Technology-Kanpur 1972
B.S. Civil Engineering Bihar University 1969
Area(s) of Expertise
Dr. Rahman is interested in geomechanics, soil dynamics, numerical methods, probabilistic analysis, containment transport in groundwater.
Publications
- Evaluation of wave-induced instability of nearly saturated sandy slopes under partially undrained condition: A case study of landslide in Fraser River delta front , COMPUTERS AND GEOTECHNICS (2023)
- Response and Instability of Sloping Seabed Supporting Small Marine Structures: Wave - Structure-Soil Interaction Analysis , JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME (2022)
- Analysis of wave-induced submarine landslides in nearly saturated sediments at intermediate water depths , Marine Georesources & Geotechnology (2021)
- Impact of Underliner on the Local Deformation of HDPE Geomembranes , JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2021)
- Laboratory testing and numerical modeling of geomembrane electrical leak detection surveys , GEOSYNTHETICS INTERNATIONAL (2020)
- Response of High-Density Polyethylene Geomembrane-Sand Interfaces under Cyclic Shear Loading: Laboratory Investigation , INTERNATIONAL JOURNAL OF GEOMECHANICS (2020)
- Slope Stability Analysis Using Genetic Simulated Annealing Algorithm in Conjunction with Finite Element Method , KSCE JOURNAL OF CIVIL ENGINEERING (2020)
- Computational Geotechnics , Geo-Congress 2019 (2019)
- An Enhanced Generalized Plasticity Model for Coarse Granular Material considering Particle Breakage , ADVANCES IN CIVIL ENGINEERING (2018)
- Improved Synchronous and Alternate Vacuum Preloading Method for Newly Dredged Fills: Laboratory Model Study , International Journal of Geomechanics (2018)
Grants
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.
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).
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.
Neural Network Models will be developed for the prediction of pile capacity and assessment of pile derivability.