Steel bridge over El Barranc d'Aigües (object state)
A condition of an object at a particular time, reflecting the object's ability to fulfil it's requirements.
Properties
Element type
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Object state
Summary
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The previous existing bridge (built in 1914) presented fatigue. Nevertheless, the new bridge (built in 2018) does not present any deterioration processes nor damages to be reported at the moment of the short-term monitoring test. The aim of the case study is to address the implementation of a damage detection tool based on a machine learning algorithm known as Support Vector Machine, using the modal response of a truss bridge to calibrate a finite element model to simulate damage scenarios under changing temperature conditions to feed the machine learning algorithm.
Prior information
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Monitoring data
Performance indicator
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Dynamic response (acceleration/damping/frequencies), Other actions (wind/temperature/earthquake)
Inspection method
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IoT and sensor systems
Relations with other elements
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The inspection method used in this case study to determine the object state was "IoT and sensor systems". This can include any of the following surveying technologies. Click one of the links below for more information:
IoT and sensor systems