Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various bandwidths, synchronization, quality check and ar...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/9/2/30 |
| _version_ | 1797297932213420032 |
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| author | Emin Aktan Ivan Bartoli Branko Glišić Carlo Rainieri |
| author_facet | Emin Aktan Ivan Bartoli Branko Glišić Carlo Rainieri |
| author_sort | Emin Aktan |
| collection | DOAJ |
| description | This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various bandwidths, synchronization, quality check and archival, and most importantly, the interpretation of the structural condition, performance, and health are necessary for effective applications of SHM to major bridges and other infrastructures. Writers note that such SHM applications have served as the forerunners of cyber infrastructures, which are now recognized as the key to smart infrastructures and smart cities. Continued explorations of SHM in conjunction with control, therefore, remain vital for assuring satisfactory infrastructure system performance at the operational, damageability, and safety limit-states in the future. Researchers in the SHM of actually constructed systems, given their experience in monitoring major structures in the field, are well positioned to contribute to these vital needs. Especially, SHM researchers who have learned how to integrate the contributions from various disciplines such as civil, electrical, mechanical, and materials engineering; computer and social sciences; and architecture and urban planning would appear to be well equipped and could become instrumental in assessing the health and performance of urban regions, which today must function by optimizing and balancing the needs of Livability, Sustainability, and Resilience (LSR). |
| first_indexed | 2024-03-07T22:27:30Z |
| format | Article |
| id | doaj.art-43fe1836de9043028d9d71581975a221 |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-07T22:27:30Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-43fe1836de9043028d9d71581975a2212024-02-23T15:21:15ZengMDPI AGInfrastructures2412-38112024-02-01923010.3390/infrastructures9020030Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical SystemsEmin Aktan0Ivan Bartoli1Branko Glišić2Carlo Rainieri3Civil, Architectural and Environmental Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USACivil, Architectural and Environmental Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USADepartment of Civil and Environmental Engineering, Princeton University, E330 EQuad, Princeton, NJ 08544, USAConsiglio Nazionale delle Ricerche, Istituto per le Tecnologie della Costruzione, Corso N. Protopisani c/o Polo Tecnologico di San Giovanni a Teduccio, 80146 Napoli, ItalyThis paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various bandwidths, synchronization, quality check and archival, and most importantly, the interpretation of the structural condition, performance, and health are necessary for effective applications of SHM to major bridges and other infrastructures. Writers note that such SHM applications have served as the forerunners of cyber infrastructures, which are now recognized as the key to smart infrastructures and smart cities. Continued explorations of SHM in conjunction with control, therefore, remain vital for assuring satisfactory infrastructure system performance at the operational, damageability, and safety limit-states in the future. Researchers in the SHM of actually constructed systems, given their experience in monitoring major structures in the field, are well positioned to contribute to these vital needs. Especially, SHM researchers who have learned how to integrate the contributions from various disciplines such as civil, electrical, mechanical, and materials engineering; computer and social sciences; and architecture and urban planning would appear to be well equipped and could become instrumental in assessing the health and performance of urban regions, which today must function by optimizing and balancing the needs of Livability, Sustainability, and Resilience (LSR).https://www.mdpi.com/2412-3811/9/2/30structural health monitoringsensingimagingintelligent infrastructurescyber-physical systems |
| spellingShingle | Emin Aktan Ivan Bartoli Branko Glišić Carlo Rainieri Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems Infrastructures structural health monitoring sensing imaging intelligent infrastructures cyber-physical systems |
| title | Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems |
| title_full | Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems |
| title_fullStr | Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems |
| title_full_unstemmed | Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems |
| title_short | Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems |
| title_sort | lessons from bridge structural health monitoring shm and their implications for the development of cyber physical systems |
| topic | structural health monitoring sensing imaging intelligent infrastructures cyber-physical systems |
| url | https://www.mdpi.com/2412-3811/9/2/30 |
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