research has two main theme areas. First, we are working on
identification and control of dynamically
sensitive structures which are vulnerable to natural (wind,
earthquake) and man-made (e.g., machinery, pedestrian) dynamic forces.
We are primarily interested in understanding the behaviour and
condition of structures
through sensor measurements, and to develop innovative means to control
unwanted responses in dynamically sensitive structures. We
are working on developing powerful system identification and parameter
estimation algorithms using concepts of blind source separation, Kalman
filtering, unsupervised classification, and time-frequency analysis. We
have significant ongoing research on lightweight footbridges such as
aluminum, where we are studying the
dynamic effects of pedestrian loading and the deployment of autonomous
second theme area is in condition monitoring of civil and
mechanical systems such as rotating mechanical equipment, bridges and
water distribution networks. We are primarily interested in vibration
and acoustic-based sensors to undertake condition assessment.
We are working on signal processing, machine learning and reliability
methods to develop novel detection, degradation and maintenance
models to assist with maintenance and operations. Autonomous aerial
vehicles are being
assessed for their use in inspecting steel and concrete bridges to
augment current inspection techniques where access is difficult.
In this webpage, you will find a summary of our key research
themes, publications and information about
our current team members.