Abstract
Developing countries will always engage in infrastructure development in various regions, and one notable aspect of this development is the construction of steel frame bridges. Bridges are complex structures with a myriad of challenges. The increasing number of cases of steel frame bridge collapses has prompted humans to become more conscious of Structural Health Monitoring (SHM) activities. In order to implement this, the development of a straightforward structural damage detection method has been pursued, suitable for both simple and highly complex structures, commonly referred to as Vibration-Based Damage Detection (VBDD). Various algorithms have been proposed to achieve the goal of identifying structural damage, enabling prompt and accurate decision-making in handling such situations. This article delves into the discussion of several proposed algorithms for achieving this objective.
| Original language | English |
|---|---|
| Article number | 02020 |
| Journal | E3S Web of Conferences |
| Volume | 434 |
| DOIs | |
| Publication status | Published - 12 Oct 2023 |
| Event | 4th International Conference on Energetics, Civil and Agricultural Engineering, ICECAE 2023 - Tashkent, Uzbekistan Duration: 12 Oct 2023 → 14 Oct 2023 |
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