Catastrophe risk, reliability and resilience of structural and infrastructural systems subjected to natural disasters (earthquake, tsunami, flood and typhoon)
Structural dynamics, Earthquake engineering, Offshore engineering and Performance based engineering
Computational stochastic dynamics
Extreme and rare event simulation
Structural and infrastructure health monitoring and advanced sensor technologies
System identification, uncertainty quantification, Bayesian updating
Stochastic optimization for decision making, design and control under risk and uncertainty with reliability and resilience based objectives or constraints
Coupled multiscale and multiphysics modelling and computation
Fluid-structure and soil-structure interaction
Transition and turbulence modelling in computational fluid dynamics
Deep excavation and support system
Climate change impact studies
Chemical kinetics and combustion modelling
Cyber-physical system, artificial intelligence, machine learning, IoT and digital twin
Complexity theory and complex system
Computational engineering and sciences
Representative Research / Consultancy Projects
Future Resilient Systems FRS II, cyber-physical systems, digital twin-enabled energy system resilience (Sponsor: National Research Foundation, Singapore)
Structural performance of HDB buildings (Sponsor: Housing & Development Board, Singapore)
Future Resilient Systems FRS, complex socio-technical infrastructure systems, efficient physical infrastructure modelling (Sponsor: National Research Foundation, Singapore)
Assessment of urban flood resilience under present and future scenarios (Sponsor: Ministry of Education, Singapore)
Structural health monitoring and vibration analysis of the 88-storey Petronas Twin Towers (Sponsor: Setsco Services Pte Ltd)
Bayesian earthquake source validation for ground motion simulation (Sponsor: Institute for Computational Engineering and Sciences, the University of Texas at Austin)
10 Selected Representative Publications
Liu, W.S. and Cheung, S.H. (2020). "Decoupled reliability-based geotechnical design of deep excavations considering the spatial variability of soil properties."
Applied Mathematical Modelling, 85, 46-59.
Liu, W.S., Cheung, S.H. and Cao, W.J. (2019). "An efficient surrogate-aided importance sampling framework for reliability analysis."
Advances in Engineering Software, 135, 102687.
Bansal, S. and Cheung, S.H. (2018). "A Subset Simulation based approach with modified conditional sampling and estimator for seismic loss analysis."
Reliability Engineering & System Safety, 177: 94-107.
Cheung, S.H. and Bansal, S. (2017). "A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data."
Mechanical Systems and Signal Processing, 92: 156-172.
Liu, W.S. and Cheung, S.H. (2017). "Reliability based design optimization with approximate failure probability function in partitioned design space."
Reliability Engineering & System Safety, 167: 602-611.
Bansal, S. and Cheung, S.H. (2017). "On the evaluation of multiple failure probability curves in reliability analysis with multiple performance functions."
Reliability Engineering & System Safety, 167: 583-594.
Cheung, S.H., Miki, K., Prudencio, E. and Simmons, C. (2016). "Uncertainty quantification and robust predictive system analysis for high temperature kinetics of HCN/O-2/Ar mixture."
Chemical Physics, 475: 136-152.
Cheung, S.H., Oliver, T.A., Prudencio, E.E., Prudhomme, S. and Moser, R.D. (2011). "Bayesian Uncertainty Analysis with Applications to Turbulence Modeling."
Reliability Engineering & System Safety, 96(9): 1137-1149.
Cheung, S.H. and Beck, J.L. (2010). "Calculation of posterior probabilities for Bayesian model class assessment and averaging from posterior samples based on dynamic system data."
Computer-Aided Civil and Infrastructure Engineering, 25(5): 304-321.
Cheung, S.H. and Beck, J.L. (2009). "Bayesian model updating using Hybrid Monte Carlo simulation with application to structural dynamic models with many uncertain parameters."
Journal of Engineering Mechanics-ASCE, 135(4): 243-255.
For more information of Dr. Joseph S.H. CHEUNG, please visit HKU Scholars Hub.