Abdollah Malekjafarian
Abdollah Malekjafarian
Assistant Professor at University College Dublin
Verified email at - Homepage
Cited by
Cited by
A review of indirect bridge monitoring using passing vehicles
A Malekjafarian, P McGetrick, EJ OBrien
Shock and Vibration 2015, 2015
Identification of bridge mode shapes using short time frequency domain decomposition of the responses measured in a passing vehicle
A Malekjafarian, EJ OBrien
Engineering Structures 81, 386-397, 2014
A mode shape‐based damage detection approach using laser measurement from a vehicle crossing a simply supported bridge
EJ OBrien, A Malekjafarian
Structural Control and Health Monitoring 23 (10), 1273-1286, 2016
Application of empirical mode decomposition to drive-by bridge damage detection
EJ OBrien, A Malekjafarian, A González
European Journal of Mechanics-A/Solids 61, 151-163, 2017
On the use of a passing vehicle for the estimation of bridge mode shapes
A Malekjafarian, EJ OBrien
Journal of Sound and Vibration 397, 77-91, 2017
A machine learning approach to bridge-damage detection using responses measured on a passing vehicle
A Malekjafarian, F Golpayegani, C Moloney, S Clarke
Sensors 19 (18), 4035, 2019
Drive-by scour monitoring of railway bridges using a wavelet-based approach
PC Fitzgerald, A Malekjafarian, D Cantero, EJ OBrien, LJ Prendergast
Engineering Structures 191, 1-11, 2019
Mass–stiffness change method for scaling of operational mode shapes
MM Khatibi, MR Ashory, A Malekjafarian, R Brincker
Mechanical Systems and Signal Processing 26, 34-59, 2012
Scour damage detection and structural health monitoring of a laboratory-scaled bridge using a vibration energy harvesting device
PC Fitzgerald, A Malekjafarian, B Bhowmik, LJ Prendergast, P Cahill, ...
Sensors 19 (11), 2572, 2019
A data-driven approach for drive-by damage detection in bridges considering the influence of temperature change
R Corbally, A Malekjafarian
Engineering Structures 253, 113783, 2022
A review of mobile sensing of bridges using moving vehicles: Progress to date, challenges and future trends
A Malekjafarian, R Corbally, W Gong
Structures 44, 1466-1489, 2022
On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm
MEA Ben Seghier, JAFO Corriea, J Jafari-Asl, A Malekjafarian, V Plevris, ...
Neural Computing and Applications 33 (23), 15969-15985, 2021
On the use of ensemble empirical mode decomposition for the identification of bridge frequency from the responses measured in a passing vehicle
L Zhu, A Malekjafarian
Infrastructures 4 (2), 32, 2019
Railway track monitoring using train measurements: An experimental case study
A Malekjafarian, E OBrien, P Quirke, C Bowe
Applied Sciences 9 (22), 4859, 2019
Examining changes in bridge frequency due to damage using the contact-point response of a passing vehicle
R Corbally, A Malekjafarian
Journal of Structural Integrity and Maintenance 6 (3), 148-158, 2021
Foundation damping for monopile supported offshore wind turbines: A review
A Malekjafarian, S Jalilvand, P Doherty, D Igoe
Marine Structures 77, 102937, 2021
The feasibility of using Laser Doppler Vibrometer measurements from a passing vehicle for bridge damage detection
A Malekjafarian, D Martinez, EJ OBrien
Shock and Vibration, 2018
Damage detection using curvatures obtained from vehicle measurements
EJ OBrien, D Martinez, A Malekjafarian, E Sevillano
Journal of Civil Structural Health Monitoring 7, 333-341, 2017
Experimental demonstration of a mode shape-based scour monitoring method for multi-span bridges with shallow foundations
A Malekjafarian, CW Kim, E O'Brien, L Prendergast, P Fitzgerald, ...
Journal of Bridge Engineering, 2020
Bridge health monitoring using deflection measurements under random traffic
D Martinez, A Malekjafarian, E OBrien
Structural Control and Health Monitoring 27 (9), e2593, 2020
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