果冻传媒

Many operational steel bridges worldwide were built after World War II, and are nearing the end of their designed life. Due to their prolonged service life, degradation phenomena, like fatigue and corrosion, may compromise their integrity.

The determination of the reliability of steel bridges against fatigue failure  is based on predicting the propagation of cracks arising due to cyclic loading. This is achieved through models that simulate the macro-mechanical behaviour of a specific component in the structure, but uncertain factors such as material properties and load history cause a large scatter in these predictions. To reduce the scatter and enhance accuracy, sensor data is integrated into the analysis.

To ensure bridges maintain the required safety standards, both modelling and sensor data are incorporated within a probabilistic framework that evaluates the structure as a whole. Additionally, to optimize sensor deployment, data from monitored locations is used to make predictions for unmonitored areas based on correlations between different sections of the structure.