This thrust focuses on identifying structural behaviour, estimating hidden response quantities, and updating computational models using monitoring data.
The long-term objective is to support digital twins that are not only visual representations, but data-informed and mechanics-aware models that can evolve with measurements from real civil infrastructure systems.
What We Study#
Structural State Estimation
Methods for estimating important structural response quantities from measured data, especially when measurements are noisy, sparse, indirect, or incomplete.
System Identification
Approaches for understanding structural properties and behaviour from response data using mechanics, computation, and data-driven modelling.
Model Updating
Methods for improving computational models of structures using sensing data, experimental observations, and engineering constraints.
Digital Twins for Infrastructure
Data-informed computational models that support monitoring, interpretation, prognosis, and decision support for civil infrastructure systems.
Methods and Tools#
Research in this thrust may involve structural dynamics, finite element modelling, inverse problems, filtering, optimization, machine learning, scientific computing, and sensing data.
The emphasis is on connecting measured response with computational models so that digital twins can support reliable interpretation of structural behaviour and infrastructure condition.
Student Background#
Students interested in this thrust may benefit from background in structural dynamics, finite element analysis, inverse problems, optimization, filtering, scientific computing, or machine learning.
It is not necessary to have expertise in all areas. Specific topics are shaped based on the student’s background, interests, and expected time commitment.
Interested Students#
Students interested in system identification, model updating, digital twins, structural dynamics, or infrastructure monitoring are encouraged to read the broader Research page and contact me through the Join the Group page.
Specific project topics are discussed individually after understanding the student’s background, interests, and available research opportunities.