Smart City Gnosys
Smart city article details
| Title | Smart Bridges Based On Bridge Information Modelling |
|---|---|
| ID_Doc | 49198 |
| Authors | Saju S. |
| Year | 2022 |
| Published | SPICES 2022 - IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems |
| DOI | http://dx.doi.org/10.1109/SPICES52834.2022.9774179 |
| Abstract | Bridge structures are considered to be the very vulnerable part of civil transportation system that affect directly the public safety and economy. The maintenance of these bridges is many times disregarded in developing counties like India due to lack of maintenance fund, scarcity of experts to rectify problems and so many other reasons. Structural Health Monitoring (SHM) is a method for the diagnosis of damage based on periodically collected data from sensors placed on the structure that lead to characterize the damage and to maintain the health status of the structure. Sufficient expert knowledge is essential for an adequate solution of SHM tasks and Artificial Intelligence (AI) is now being focused on this tasks. Bridge Information Modelling (BrIM) is another digital application in bridge construction industry, which stores and updates the data beyond the design process, enabling engineers with relevant information to carryout fabrication, construction, and maintenance. In this paper a conceptual strategy to integrate the three digital techniques, SHM, AI and BrIM for developing smart bridges for smart cities is proposed. © 2022 IEEE. |
| Author Keywords | AI; BIM; BrIM; SHM; Smart bridges |
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