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

Christos Karakostas; Giuseppe Quaranta; Eleni Chatzi; Abdullah Can Zülfikar; Oğuzhan Çetindemir; Guido De Roeck; Michael Döhler; Maria Pina Limongelli; Geert Lombaert; Nurdan Memişoğlu Apaydın; Vikram Pakrashi; Costas Papadimitriou; Ali Yeşilyurt

doi:10.1007/s10518-023-01819-3

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

Bull Earthq Eng. 2024;22(3):1309-1357. doi: 10.1007/s10518-023-01819-3. Epub 2023 Nov 30.

Affiliations

¹ Institute of Engineering Seismology and Earthquake Engineering, Research Unit of Earthquake Planning and Protection Organization, Thessaloniki, Greece.
² Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome, Italy.
³ Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zurich, Switzerland.
⁴ Disaster Management Institute, Istanbul Technical University, Istanbul, Türkiye.
⁵ Department of Civil Engineering, Gebze Technical University, Kocaeli, Türkiye.
⁶ Department of Civil Engineering, Katholieke Universiteit Leuven, Leuven, Belgium.
⁷ Université Gustave Eiffel, Inria, COSYS-SII, I4S, Rennes, France.
⁸ Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milan, Italy.
⁹ Department of Civil Engineering, Istanbul University, Istanbul, Türkiye.
¹⁰ UCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland.
¹¹ Department of Mechanical Engineering, University of Thessaly, Volos, Greece.

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.

Keywords: Bridge; Computational intelligence; Condition assessment; Damage detection; Fatih Sultan Mehmet bridge; Identification; Optimal sensor placement; Seismic assessment; Structural health monitoring; Suspension bridge.

Publication types

Review