Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study
Open accessAbstract
Structural health monitoring (SHM) technology for surveillance and evaluation of existing and newly built long-span bridges has been widely developed, and the significance of the technique has been recognized by many administrative authorities. The paper reviews the recent progress of the SHM technology that has been applied to long-span bridges. The deployment of a SHM system is introduced. Subsequently, the data analysis and condition assessment including techniques on modal identification, methods on signal processing, and damage identification were reviewed and summarized. A case study about a SHM system of a long-span arch bridge (the Jiubao bridge in China) was systematically incorporated in each part to advance our understanding of deployment and investigation of a SHM system for long-span arch bridges. The applications of SHM systems of long-span arch bridge were also introduced. From the illustrations, the challenges and future trends for development a SHM system were concluded.
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High wind conditions have a complex effect on dynamic structural properties.
“Studies found that high wind conditions have a complex effect on dynamic structural properties [129,175-177].”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [177]
Section 2.2 describes complex wind-induced vibrations in long-span bridges, including buffeting, vortex shedding and flutter. Section 3.4 says high wind speeds can make measured wind speed non-stationary, but it does not establish how high winds affect the bridge’s dynamic structural properties. No page numbers are available in our copy. (LLM, conf=0.79)
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- Authors
- Chen, Z., Zhou, X., Wang, X., Dong, L., & Qian, Y.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China
- University of Illinois Urbana-Champaign (US)
- State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering (CN)
- Corresponding author
- Wang, Xu
- Dong, Lili
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-09-19
- Volume
- 17
- Issue
- 9
- Pages
- 2151
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC5621030
- OpenAlex
- W2754307171
- Cited by
- 128
- References
- 92
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 14 · 2023: 18 · 2022: 15 · 2021: 17 · 2020: 18 · 2019: 15 · 2018: 9 · 2017: 1
- FWCI
- 3.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- the State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering (Chongqing Jiaotong University) fund (CQSLBF-Y16-16)
- the Engineering Research Center of Bridge Structure and Material in the Mountainous Area Fund (QLGCZX-JJ2015-5, QLGCZX-JJ2015-6)
- the general project of foundation and frontier research of Chongqing (cstc2017jcyjAX0187)
- the Construction Technology Project of Ministry of Transport (2015318814190)
- the Key project of foundation and frontier research of Chongqing (cstc2015jcyjBX0022)
- the Application Foundation Research Project of Ministry of transport (2013319814180)
- the National Natural Science Foundation of China (51708074, 51478071, 51408087)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
- Physical Sciences › Engineering › Mechanical Engineering › Transport Systems and Technology
- Keywords
- structural health monitoring, long-span arch bridge, bridge condition assessment, modal parameter identification, damage detection, signal processing
- MeSH terms
- China, Humans, Monitoring, Physiologic
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