What is it about?
This work presents a method for long-term condition monitoring of civil infrastructures such as bridges using Genetic Programming (GP). The method aims at raising an alarm as soon as the structure under investigation undergoes a damage. To this end, a map is established between a couple of structural natural frequency signals and ambient temperature signal. The errors associated with this mapping are monitored for damage.
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Why is it important?
This is important as, when not identified, damage can accumulate in a structure through time. This will eventually, in some cases, result in a total destruction of the structure. Therefore, monitoring the structure for damage allows shutting down the whole structure whenever an abnormality is identified. The damage then can be located and fixed before the structure can go under service again.
Perspectives
The application of GP is important from this perspective that the relationship between the structural natural frequencies and ambient temperature can be nonlinear in a period of very cold temperature. Therefore, GP is used to decrease errors associated with this phenomenon to further minimize the possibility of any false alarms.
Mohsen Mousavi
University of Technology Sydney
Read the Original
This page is a summary of: Structural damage identification under non-linear EOV effects using genetic programming, July 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3449726.3459569.
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