Seismic assessment of bridges through structural health monitoring: a state-of-the-art review

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Karakostas C., Quaranta G., Chatzi E., Zülfikar A. C., Çetindemir O., De Roeck G., ...More

Bulletin of Earthquake Engineering, vol.22, no.3, pp.1309-1357, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Review
  • Volume: 22 Issue: 3
  • Publication Date: 2024
  • Doi Number: 10.1007/s10518-023-01819-3
  • Journal Name: Bulletin of Earthquake Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), Compendex, Geobase, INSPEC, Civil Engineering Abstracts
  • Page Numbers: pp.1309-1357
  • Keywords: Bridge, Computational intelligence, Condition assessment, Damage detection, Fatih Sultan Mehmet bridge, Identification, Optimal sensor placement, Seismic assessment, Structural health monitoring, Suspension bridge
  • Open Archive Collection: AVESIS Open Access Collection
  • Istanbul University Affiliated: No

Abstract

The present work offers a comprehensive overview of methods related to condition assessment of bridges through Structural Health Monitoring (SHM) procedures, with a particular interest on aspects of seismic assessment. Established techniques pertaining to different levels of the SHM hierarchy, reflecting increasing detail and complexity, are first outlined. A significant portion of this review work is then devoted to the overview of computational intelligence schemes across various aspects of bridge condition assessment, including sensor placement and health tracking. The paper concludes with illustrative examples of two long-span suspension bridges, in which several instrumentation aspects and assessments of seismic response issues are discussed.