Mujib Olamide Adeagbo 
- (2024): Time-domain structural model updating following the Bayesian approach in the absence of system input information. Dans: Engineering Structures, v. 314 (septembre 2024).
- : An Efficient Dynamic Response Reconstruction Methodology Based on Model Condensation and Modal Decomposition. Dans: International Journal of Structural Stability and Dynamics.
- (2022): A data-driven method for real-time compaction quality evaluation of a cement-stabilized base layer. Dans: Advances in Structural Engineering, v. 25, n. 11 (mai 2022).
- (2022): Bayesian System Identification of Rail–Sleeper–Ballast System in Time and Modal Domains: Comparative Study. Dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 3 (septembre 2022).
- (2022): Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters. Dans: Engineering Structures, v. 254 (mars 2022).
- (2022): On the selection of the most plausible non-linear axial stress–strain model for railway ballast under different impulse magnitudes. Dans: Structural Health Monitoring, v. 21, n. 4 (janvier 2022).
- (2021): A Bayesian methodology for detection of railway ballast damage using the modified Ludwik nonlinear model. Dans: Engineering Structures, v. 236 (juin 2021).
- (2020): Time-domain Markov chain Monte Carlo–based Bayesian damage detection of ballasted tracks using nonlinear ballast stiffness model. Dans: Structural Health Monitoring, v. 20, n. 5 (décembre 2020).
- (2019): Bayesian model updating of a 20-story office building utilizing operational modal analysis results. Dans: Advances in Structural Engineering, v. 22, n. 16 (6 novembre 2019).
Structurae coopère avec
