Abstract
This article presents contemporary methods for diagnosing corrosion damage in reinforced concrete structures. The first section provides a brief overview of traditional measurement methods used to assess the corrosion risk of reinforced concrete, including tests of concrete’s protective properties against reinforcement, corrosion probability tests, and polarisation tests of the corrosion rate of reinforcement in concrete. The second part of the article describes modern digital technologies that support the diagnosis of corrosion damage, including visual inspection using mixed reality and artificial intelligence, and remote inspection using drones. Additionally, the article describes a BIM model of the diagnosed structure allowing for the creation of a digital twin. This model integrates all classical and digital diagnostic tools.
| Translated title of the contribution | Nowoczesne technologie cyfrowe jako wsparcie klasycznych metod pomiarowych stosowanych w diagnostyce korozyjnej żelbetu |
|---|---|
| Original language | English |
| Pages (from-to) | 246-250 |
| Number of pages | 5 |
| Journal | Ochrona Przed Korozja |
| Volume | 67 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- AI
- AR
- BIM
- MR
- artificial intelligence
- augmented reality
- corrosion
- diagnostics
- digital twin
- drones
- image analysis
- mixed reality
- reinforced concrete structures
ASJC Scopus subject areas
- General Chemical Engineering
- Surfaces, Coatings and Films
- Metals and Alloys
- Materials Chemistry
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