{"id":81433,"date":"2020-05-06T06:00:18","date_gmt":"2020-05-06T04:00:18","guid":{"rendered":"https:\/\/www.stradeeautostrade.it\/?p=81433"},"modified":"2021-12-06T17:38:08","modified_gmt":"2021-12-06T16:38:08","slug":"dynamic-bridge-infrastructure-monitoring","status":"publish","type":"post","link":"https:\/\/www.stradeeautostrade.it\/en\/smart-road-digital-transformation\/dynamic-bridge-infrastructure-monitoring\/","title":{"rendered":"Dynamic bridge infrastructure monitoring"},"content":{"rendered":"

Dynamic bridge infrastructure monitoring\u00a0 \"\"\u00a0 Per la versione in Italiano: <\/em>https:\/\/www.stradeeautostrade.it\/its-smart-road\/monitoraggio-infrastrutturale-dinamico-di-un-ponte\/<\/a><\/p>\n

This article illustrates an example of real-time infrastructure\u00a0monitoring application through the use of triaxial accelerometric\u00a0sensors (MEMS – Micro Electro Mechanical\u00a0System), a device which can be configured to detect various\u00a0parameters such as: vibrations, stresses, etc…<\/p>\n

There are several types of sensors that can provide information\u00a0on structural integrity of a different and complementary\u00a0nature. They range from force meters in the connection between\u00a0the joints, to fiber optic sensors that can also detect deformations\u00a0in structures, to accelerometers that measure vibrations\u00a0and so on.<\/p>\n

The results of the Modal Analysis and the processing\u00a0of the information collected are the data input for mathematical\u00a0model capable of detecting changes in the vibration modes\u00a0(eigenvalues and natural frequencies) in the bridge, which could\u00a0be indicative of potential damage.<\/p>\n

The cyber-physical model\u00a0consists of simulating the temporal evolution of the structure on\u00a0the basis of the data collected in\u00a0a parallel digital environment\u00a0and making predictions of its behaviour at different future moments,\u00a0under different evolutions of the load and environmental conditions (e.g. accidents, earthquakes,\u00a0etc.) with a different level\u00a0of probability.<\/p>\n

The network constantly\u00a0analyses factors such as\u00a0vibrations, wind and humidity,\u00a0and promptly reports anomalies\u00a0to a computer.<\/p>\n

These technologies can also be adapted to existing bridges and\u00a0viaducts, especially with the use of wireless technologies which\u00a0do not require interventions on the structures.<\/p>\n

\"infrastructure
1. Types of public monitored infrastructure<\/figcaption><\/figure>\n

In fact, smart wireless sensor networks are much easier to implement than\u00a0wired structures, which are more expensive and require special\u00a0care due to the need to lay cables and drill holes.<\/p>\n

Moreover, the\u00a0installation of the sensors could be difficult to complicated if the\u00a0interior of the bridge is not accessible. Furthermore, the historical\u00a0data of the traffic, loading and deterioration processes are not known for the existing bridges, which makes the assessment more complicated, at least as long as there is no statistically\u00a0significant accumulation.<\/p>\n

In the pilot project of Legnano Municipality, a triaxial accelerometric sensor detects the static stresses (vibrations from road\u00a0traffic) the structure is exposed to. The outcome data was subsequently\u00a0correlated to extract useful information for the ongoing\u00a0management of the building.<\/p>\n

The system allows to detect anomalous vibration events in order\u00a0to address two main sets of action:<\/p>\n