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Mujib Olamide ADEAGBO
Mujib Olamide ADEAGBO
Postdoctoral Research Fellow, CNERC-Rail, The Hong Kong Polytechnic University, HKSAR
在 my.cityu.edu.hk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A Bayesian methodology for detection of railway ballast damage using the modified Ludwik nonlinear model
MO Adeagbo, HF Lam, YQ Ni
Engineering Structures 236, 112047, 2021
282021
Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters
C Fang, HJ Liu, HF Lam, MO Adeagbo, HY Peng
Engineering Structures 254, 113839, 2022
232022
Time-domain Markov chain Monte Carlo–based Bayesian damage detection of ballasted tracks using nonlinear ballast stiffness model
HF Lam, MO Adeagbo, YB Yang
Structural Health Monitoring 20 (5), 2653-2677, 2021
172021
Bayesian model updating of a 20-story office building utilizing operational modal analysis results
HF Lam, J Hu, MO Adeagbo
Advances in Structural Engineering 22 (16), 3385-3394, 2019
162019
An enhanced sequential sensor optimization scheme and its application in the system identification of a rail-sleeper-ballast system
HF Lam, MO Adeagbo
Mechanical Systems and Signal Processing 163, 108188, 2022
132022
A feasibility study on void detection of cement-emulsified asphalt mortar for slab track system utilizing measured vibration data
Q Hu, YJ Shen, HP Zhu, HF Lam, MO Adeagbo
Engineering Structures 245, 112349, 2021
82021
A feasibility study on damage detection of nonlinear railway ballast by measured vibration of in-situ sleeper
MO Adeagbo, HF Lam
ACMSM25: Proceedings of the 25th Australasian Conference on Mechanics of …, 2020
82020
On the selection of the most plausible non-linear axial stress–strain model for railway ballast under different impulse magnitudes
MO Adeagbo, HF Lam, Q Hu
Structural Health Monitoring 21 (4), 1447-1473, 2022
72022
Mineralogy and geotechnical characteristics of some pottery clay
MO ADEAGBO, SA OLA, OO OJURI
Leonardo Electronic Journal of Practices and Technologies 29, 61-78, 2016
62016
Bayesian system identification of rail–sleeper–ballast system in time and modal domains: Comparative study
MO Adeagbo, HF Lam, YJ Chu
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2022
52022
An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition
ZY Fu, MO Adeagbo, HF Lam
International Journal of Structural Stability and Dynamics, 2450141, 2023
32023
Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins
MO Adeagbo, SM Wang, YQ Ni
Advanced Engineering Informatics 61, 102450, 2024
22024
Bayesian modeling of axial strain-hardening behaviour in railway ballast
MO Adeagbo, HF Lam
EASEC16: Proceedings of The 16th East Asian-Pacific Conference on Structural …, 2021
22021
A data-driven method for real-time compaction quality evaluation of a cement-stabilized base layer
Q Wu, W Cao, HF Lam, MO Adeagbo
Advances in Structural Engineering 25 (11), 2319-2331, 2022
12022
Bayesian model updating in ballasted tracks with the consideration of non-linear ballast stiffness
MO Adeagbo, HF Lam
The 22nd Annual Conference of Hong Kong Society of Theoretical and Applied …, 2018
12018
Time-domain structural model updating following the Bayesian approach in the absence of system input information
HF Lam, ZY Fu, MO Adeagbo, JH Yang
Engineering Structures 314, 118321, 2024
2024
A Robust Bayesian Sensor Placement Scheme with Enhanced Sparsity and Useful Information for Structural Health Monitoring
MO Adeagbo, HF Lam
Proceedings of The 17th East Asian-Pacific Conference on Structural …, 2023
2023
Bayesian structural model updating of a large-span cable-stayed bridge through MCMC
C Fang, HJ Liu, HF LAM, MO ADEAGBO, P Huayi
17th East Asia-Pacific Conference on Structural Engineering and Construction …, 2022
2022
A Bayesian extended sequential sensor optimization scheme for damage detection in ballasted tracks
MO Adeagbo, HF Lam
The 24th Annual Conference of HKSTAM 2020 in conjunction with the 16th …, 2020
2020
EVALUATING THE NON-LINEARITY OF RAILWAY BALLAST USING BAYESIAN FRAMEWORK
MO Adeagbo, HF Lam
Engineering Mechanics Institute Conference 2019 (EMI 2019), 735, 2019
2019
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