For the research, a footbridge structure was first modeled and monitoring algorithms were designed. In the laboratory, tests were run with a Speedgoat real-time target machine connected to the thermocouples, strain gauges, and accelerometers. The monitoring algorithms were then integrated and tested. Finally the Speedgoat target machine and sensors were deployed in the field - see figure on the right. The installed system was used to assess the condition of the bridge, and to update the model for the bridge in real-time.
To control the damper, the finite element models of the bridge structure were further developed for RTHS. Laboratory tests were then run using the models, with the Speedgoat target machine also controlling the damper to apply the desired displacement, and measuring force feedback from sensors on the physical components.
Currently the project is still in the research phase. Once completed, the project funders may be interested in the production of the system.
As part of the project, the team has designed a delay compensation algorithm to effectively reduce the delay between the simulated and physical components in the tests. This will be reused in many other projects.