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Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong–Zhuhai–Macao Bridge Immersed Tunnel

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Safety and reliability evaluations of bridge behaviors under ambient truck loads through structural health monitoring and identification model approaches
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Optimize the early warning time of coal and gas outburst by multi-source information fusion method during the tunneling process
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Improved equivalent mass-spring model for seismic response analysis of two-dimensional soil strata
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Analysis of common-cause and special-cause variation in the deterioration of transportation infrastructure: A field application of statistical process control for structural health monitoring
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Development and field application of a multivariate statistical process control framework for health-monitoring of transportation infrastructure
inferredcites →https://doi.org/10.1016/j.trgeo.2021.100621openalex-snapshot
Seismic responses of long segmental immersed tunnel under unfavorable loads combination
inferredcites →https://doi.org/10.1016/j.tust.2015.07.011openalex-snapshot
Challenges and strategies involved in designing and constructing a 6 km immersed tunnel: A case study of the Hong Kong–Zhuhai–Macao Bridge
inferredcites →https://doi.org/10.1016/j.tust.2017.05.005openalex-snapshot
Field data-based probabilistic assessment on degradation of deformational performance for shield tunnel in soft clay
inferredcites →https://doi.org/10.1016/j.tust.2018.07.028openalex-snapshot
The deployable element, a new closure joint construction method for immersed tunnel
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Evaluation model for immersed tunnel health state: A case study of Honggu Tunnel, Jiangxi Province, China
inferredcites →https://doi.org/10.1016/j.tust.2019.103197openalex-snapshot
Shaking table tests of transition tunnel connecting TBM and drill-and-blast tunnels
inferredcites →https://doi.org/10.1016/j.tust.2020.103589openalex-snapshot
Investigation on inspection scheduling for the maintenance of tunnel with different degradation modes
inferredcites →https://doi.org/10.1016/j.tust.2022.104657openalex-snapshot
Pathological diagnosis of the seepage of a mountain tunnel
inferredcites →https://doi.org/10.1016/j.undsp.2018.02.001openalex-snapshot
Multiscale structural analysis inspired by exceptional load cases concerning the immersed tunnel of the Hong Kong-Zhuhai-Macao Bridge
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001327openalex-snapshot
Behavior Analysis and Early Warning of Girder Deflections of a Steel-Truss Arch Railway Bridge under the Effects of Temperature and Trains: Case Study
inferredcites →https://doi.org/10.1061/(asce)cf.1943-5509.0001608openalex-snapshot
Damage Detection for Expansion Joints of a Combined Highway and Railway Bridge Based on Long-Term Monitoring Data
inferredcites →https://doi.org/10.1080/10589759.2019.1699086openalex-snapshot
A statistical approach for evaluating crack defects in structures under dynamic responses
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Analyzing immediate settlement of Hong Kong-Zhuhai-Macao Bridge immersed tunnel based on monitoring data
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Application of time series analysis for bridge monitoring
inferredcites →https://doi.org/10.1088/1755-1315/558/3/032036openalex-snapshot
Strain Prediction of Bridge SHM Based on CEEMDAN-ARIMA Model
inferredcites →https://doi.org/10.1108/ijsi-05-2022-0076openalex-snapshot
Multidisciplinary design optimization of engineering systems under uncertainty: a review
inferredcites →https://doi.org/10.1109/icpads.2017.00068openalex-snapshot
An ARIMA Based Real-time Monitoring and Warning Algorithm for the Anomaly Detection
inferredcites →https://doi.org/10.1109/tkde.2013.184openalex-snapshot
Outlier Detection for Temporal Data: A Survey
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Study on Risks and Countermeasures of Shallow Biogas during Construction of Metro Tunnels by Shield Boring Machine
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Case Study of the Largest Concrete Earth Pressure Balance Pipe-Jacking Project in the World
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Live-load strain evaluation of the prestressed concrete box-girder bridge using deep learning and clustering
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Dynamic Response of Segmental Lining Tunnel
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An Improved Wavelet Threshold Denoising Method for Health Monitoring Data: A Case Study of the Hong Kong-Zhuhai-Macao Bridge Immersed Tunnel
inferredcites →https://doi.org/10.3390/ma14195904openalex-snapshot
Analysis and Prediction of Sulfate Erosion Damage of Concrete in Service Tunnel Based on ARIMA Model
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Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model
inferredcites →https://doi.org/10.3390/s19194278openalex-snapshot
Rapid Acquisition and Identification of Structural Defects of Metro Tunnel

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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