Optimal sensor placement for damage detection of bridges subject to ship collision

Guo, Y.L.; Ni, Y.Q.; Chen, S.K.

doi:10.1002/stc.1963

Cited by 31Structural Health Monitoring TechniquesTransport Systems and TechnologyStructural Engineering and Materials Analysis

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Optimal sensor placement for damage detection of bridges subject to ship collision

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Guo, Y.L., Ni, Y.Q., Chen, S.K.·2017·Structural Control and Health Monitoring

DOI 10.1002/stc.1963

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Abstract

Ship collisions threaten the safety of bridges over navigable waterways in modern times. Postcollision damage and condition assessment is thus of significant importance for decision making on whether closure of bridge to traffic is necessary and for planning the consequent bridge strengthening or retrofitting. Online structural health monitoring systems provide a unique approach to monitor bridge responses during ship collisions and detect the structural damage. The damage information contained in the monitoring data, which is critical for damage detection, however, is largely dependent on the sensor layout. In this paper, an optimal sensor placement method targeting postcollision damage detection of bridges is proposed for selecting the optimal sensor set so that the measured data are most informative for damage detection. The sensor configuration is optimized by a multi-objective optimization algorithm, which simultaneously minimizes the information entropy index for each possible ship-bridge collision scenario. One advantage of the proposed method is that it can handle the uncertainty of ship collision position. It also guarantees a redundancy of sensors for the most informative regions and leaves a certain freedom to determine the critical elements for monitoring. The proposed method is applicable in practice to determine the sensor placement, prior to field testing, with the intention of identifying postcollision damage. The cable-stayed Ting Kau bridge in Hong Kong is employed to demonstrate the feasibility and effectiveness of the proposed method.

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Guo et al. developed an information-entropy-based OSP method targeting damage detection of large-scale bridges subject to ship collision.
“Guo et al. [283] developed an information-entropy-based OSP method targeting damage detection of large-scale bridges subject to ship collision.”
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Authors: Guo, Y. L., Ni, Y. Q., & Chen, S. K.
Affiliations: University of Notre Dame (US)
Hong Kong Polytechnic University (HK)
Corresponding author: Ni, Y.Q.
ORCID: Guo, Y.L.
Ni, Y.Q.
Venue: Structural Control and Health Monitoring
Publisher: Hindawi Limited
Published: 2016-11-28
Volume: 24
Issue: 9
Pages: e1963
ISSN: 1545-2255 (ISSN-L)
DOI: 10.1002/stc.1963
OpenAlex: W2559699504
Cited by: 31
References: 33
Citations by year: 2026: 1 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 3 · 2021: 5 · 2020: 8 · 2019: 3 · 2018: 3 · 2017: 1
FWCI: 3.17
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Structural Control and Health Monitoring (publishedVersion)
PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Funders: Hong Kong Polytechnic University
Topics: Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
Physical Sciences › Engineering › Civil and Structural Engineering › Transport Systems and Technology
Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
Keywords: optimal sensor placement, ship collision, bridge damage detection, structural health monitoring, Shannon entropy, multi-objective optimization, sensor redundancy, cable-stayed bridges, bridge retrofitting

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Optimal sensor placement for damage detection of bridges subject to ship collision

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