Abstract
AbstractThe 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.
Funder
European Union Next-GenerationEU
H2020 Marie Sklodowska-Curie Actions
Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri
Science Foundation Ireland
Università degli Studi di Roma La Sapienza
Publisher
Springer Science and Business Media LLC
Subject
Geophysics,Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering
Reference293 articles.
1. Adam B, Smith IF (2006) Self-aware and learning structure. In: Workshop of the European Group for intelligent computing in engineering. Springer, pp 7–14
2. Aktan AE, Catbas FN, Grimmelsman KA, Pervizpour M (2002) Development of a model health monitoring guide for major bridges. Tech. Rep. DTFH61-01-P-00347, Drexel University Intelligent Infrastructure Institute
3. Alampalli S (2000) Effects of testing, analysis, damage, and environment on modal parameters. Mech Syst Signal Process 14(1):63–74
4. Alavi AH, Hasni H, Lajnef N, Chatti K, Faridazar F (2016) An intelligent structural damage detection approach based on self-powered wireless sensor data. Autom Constr 62:24–44
5. Aldana-Rodríguez D, Ávila-Granados DL, Villalba-Vidales JA (2021) Use of unmanned aircraft systems for bridge inspection: a review. Dyna 88(217):32–41