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.
| Original language | English |
|---|---|
| Pages (from-to) | 1309-1357 |
| Number of pages | 49 |
| Journal | Bulletin of Earthquake Engineering |
| Volume | 22 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Feb 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2023.
Funding
The present work was carried out in the frame of the activities of Working Group 11 of the European Association of Earthquake Engineering (WG11, Seismic Design, Assessment and Retrofit of Bridges, Coordinators: Andreas Kappos, Khalifa University, Abu Dhabi, and Anastasios Sextos, University of Bristol, United Kingdom / National Technical University of Athens, Greece) by an ad hoc Project Team (PT1, coordinated by the first author of the present paper). The General Directorate of Highways-Türkiye is acknowledged with gratitude for providing the data used in Section . Giuseppe Quaranta would like to acknowledge the support of RETURN Extended Partnership funded by the European Union Next-GenerationEU (National Recovery and Resilience Plan—NRRP, Mission 4, Component 2, Investment 1.3—D.D. 1243 2/8/2022, PE0000005). Eleni Chatzi wishes to acknowledge the support received by the Horizon Europe Programme under the Marie Skłodowska-Curie Staff Exchanges Action (GA no. 101086413) program ReCharged, co-funded by the UK Research & Innovation, and the Swiss State Secretariat for Education, Research & Innovation. Maria Pina Limongelli gratefully acknowledges the support received by the Italian Civil Protection Department within the ReLUIS project WP6-2019-21 “Structural Health Monitoring and Satellite Data”. Vikram Pakrashi would like to acknowledge the support of Science Foundation Ireland projects 22/NCF/FD/10995 and 21/SPP/375. The present work was carried out in the frame of the activities of Working Group 11 of the European Association of Earthquake Engineering (WG11, Seismic Design, Assessment and Retrofit of Bridges, Coordinators: Andreas Kappos, Khalifa University, Abu Dhabi, and Anastasios Sextos, University of Bristol, United Kingdom / National Technical University of Athens, Greece) by an ad hoc Project Team (PT1, coordinated by the first author of the present paper). The General Directorate of Highways-Türkiye is acknowledged with gratitude for providing the data used in Section 6. Giuseppe Quaranta would like to acknowledge the support of RETURN Extended Partnership funded by the European Union Next-GenerationEU (National Recovery and Resilience Plan—NRRP, Mission 4, Component 2, Investment 1.3—D.D. 1243 2/8/2022, PE0000005). Eleni Chatzi wishes to acknowledge the support received by the Horizon Europe Programme under the Marie Skłodowska-Curie Staff Exchanges Action (GA no. 101086413) program ReCharged, co-funded by the UK Research & Innovation, and the Swiss State Secretariat for Education, Research & Innovation. Maria Pina Limongelli gratefully acknowledges the support received by the Italian Civil Protection Department within the ReLUIS project WP6-2019-21 “Structural Health Monitoring and Satellite Data”. Vikram Pakrashi would like to acknowledge the support of Science Foundation Ireland projects 22/NCF/FD/10995 and 21/SPP/375.
| Funders | Funder number |
|---|---|
| European Association of Earthquake Engineering | |
| European Union Next-GenerationEU | |
| Marie Skłodowska-Curie Staff Exchanges Action | 101086413 |
| NRRP | PE0000005, 1243 2/8/2022 |
| ReLUIS | WP6-2019-21 |
| Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri | |
| UK Research and Innovation | |
| HORIZON EUROPE Framework Programme | |
| University of Bristol | |
| Taighde Éireann - Research Ireland | 22/NCF/FD/10995, 21/SPP/375 |
| Khalifa University of Science, Technology and Research | |
| Staatssekretariat für Bildung, Forschung und Innovation | |
| National Technical University of Athens |
Keywords
- Bridge
- Computational intelligence
- Condition assessment
- Damage detection
- Fatih Sultan Mehmet bridge
- Identification
- Optimal sensor placement
- Seismic assessment
- Structural health monitoring
- Suspension bridge