Feasibility study on intelligent bridge combined with smart monitoring techniques

Ayaho Miyamoto (Corresponding Author), Akito Yabe, Petr Hradil, Ilkka Hakola

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This article proposes an innovative concept of an intelligent bridge system that integrates sensors, a processing unit, and an actuator to maintain bridge safety and performance even in the face of unexpected environmental changes and disturbances. Although technically challenging, this system is an exciting prospect for young engineers who aspire to contribute to cutting-edge technological advancements. As a practical example, this article presents an ICT-based bridge remote monitoring system called the "Intelligent Bridge," which allows real-time monitoring and control during extreme events such as earthquakes and typhoons. The Intelligent Bridge comprises a stand-alone monitoring system and a web-based internet monitoring system for bridge maintenance, which is introduced as an intelligent structure integrated into the intelligent bridge system. To verify the validity of the proposed system, it is investigated the ability to adjust cable forces on a 2-span continuous cable-stayed bridge model to control its structural performance. The development of an intelligent bridge system represents a significant advancement in bridge engineering and has the potential to improve the safety and longevity of bridges, particularly in areas prone to extreme environmental events. The system proposed in this article has practical applications that can benefit both engineers and the general public.

Original languageEnglish
Pages (from-to)1133-1148
Number of pages16
JournalStructure and Infrastructure Engineering
Volume20
Issue number7-8
Early online date7 Nov 2023
DOIs
Publication statusPublished - 2024
MoE publication typeA1 Journal article-refereed

Keywords

  • Feasibility study
  • health monitoring
  • information processing
  • intelligent bridge
  • internet monitoring
  • long-life
  • self-examination
  • stand-alone monitoring

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