Structural Monitoring and Maintenance

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Reviews on innovations and applications in structural health monitoring for infrastructures

  • Li, Hong-Nan (Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Yi, Ting-Hua (Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Ren, Liang (Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Li, Dong-Sheng (Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Huo, Lin-Sheng (Faculty of Infrastructure Engineering, Dalian University of Technology)
  • Received : 2014.02.11
  • Accepted : 2014.03.19
  • Published : 2014.03.25
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Abstract

The developments and implementations of the structural health monitoring (SHM) system for large infrastructures have been gradually recognized by researchers, engineers and administrative authorities in the last decades. This paper summarizes an updated review on innovations and applications in SHM for infrastructures carried out by researchers at Dalian University of Technology. Invented sensors and data acquisition system are firstly briefly described. And then, some proposed theories and methods including the sensing technology, sensor placement method, signal processing and data fusion, system identification and damage detection are discussed in details. Following those, the activities on the standardization of SHM and several case applications on specific types of structure are reviewed. Finally, existing problems and promising research efforts in the field of SHM are given.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, Fok Ying Tong Education Foundation

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  3. Application of FBG Based Sensor in Pipeline Safety Monitoring vol.7, pp.6, 2017, https://doi.org/10.3390/app7060540
  4. An Explicit Fourth-Order Runge–Kutta Method for Dynamic Force Identification vol.17, pp.10, 2017, https://doi.org/10.1142/S0219455417501206
  5. FOS-Based Prestress Force Monitoring and Temperature Effect Estimation in Unbonded Tendons of PSC Girders vol.30, pp.2, 2017, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000608
  6. Bayesian Combination of Weighted Principal-Component Analysis for Diagnosing Sensor Faults in Structural Monitoring Systems vol.143, pp.9, 2017, https://doi.org/10.1061/(ASCE)EM.1943-7889.0001309
  7. Impedance-based damage monitoring of steel column connection: numerical simulation vol.1, pp.3, 2014, https://doi.org/10.12989/smm.2014.1.3.339
  8. A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions vol.7, pp.5, 2017, https://doi.org/10.3390/app7050510
  9. Structural Health Monitoring System Developed for Dalian Stadium vol.16, pp.04, 2016, https://doi.org/10.1142/S0219455416400186
  10. Pipeline Leak Localization Based on FBG Hoop Strain Sensors Combined with BP Neural Network vol.8, pp.2, 2018, https://doi.org/10.3390/app8020146
  11. Substructural Identification of Flexural Rigidity for Beam-Like Structures vol.2015, 2015, https://doi.org/10.1155/2015/726410
  12. Study on an innovative self-inductance tension eddy current sensor based on the inverse magnetostrictive effect vol.37, pp.1, 2017, https://doi.org/10.1108/SR-08-2016-0145
  13. Dynamic Modelling of Embeddable Piezoceramic Transducers vol.17, pp.12, 2017, https://doi.org/10.3390/s17122801
  14. Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data vol.2014, 2014, https://doi.org/10.1155/2014/879341
  15. Estimation of Evolutionary Spectra of Monitored Seismic Ground Motions by Transformation of Correlation Functions vol.2015, 2015, https://doi.org/10.1155/2015/846943
  16. Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review vol.6, pp.12, 2017, https://doi.org/10.3390/ijgi6120382
  17. Sensor Fault Diagnosis for Structural Health Monitoring Based on Statistical Hypothesis Test and Missing Variable Approach vol.30, pp.2, 2017, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000572
  18. Temperature effect on wireless impedance monitoring in tendon anchorage of prestressed concrete girder vol.15, pp.4, 2015, https://doi.org/10.12989/sss.2015.15.4.1159
  19. Innovative Design of a Health Monitoring System and Its Implementation in a Complicated Long-Span Arch Bridge vol.30, pp.2, 2017, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000603
  20. Issues in structural health monitoring for fixed-type offshore structures under harsh tidal environments vol.15, pp.2, 2015, https://doi.org/10.12989/sss.2015.15.2.335
  21. Structural Health Monitoring of Civil Infrastructure Using Optical Fiber Sensing Technology: A Comprehensive Review vol.2014, 2014, https://doi.org/10.1155/2014/652329
  22. Dynamic Behavior of Transmission Tower-Line Systems Subjected to Insulator Breakage 2017, https://doi.org/10.1142/S0219455418500360
  23. Feasibility Study of Steel Bar Corrosion Monitoring Using a Piezoceramic Transducer Enabled Time Reversal Method vol.8, pp.11, 2018, https://doi.org/10.3390/app8112304
  24. Novel temperature sensors based on strain-relieved braiding constructions pp.1746-7748, 2019, https://doi.org/10.1177/0040517518807445
  25. Evaluation of the high-rate GNSS-PPP method for vertical structural motion pp.1752-2706, 2018, https://doi.org/10.1080/00396265.2018.1534362
  26. Pipeline leakage identification and localization based on the fiber Bragg grating hoop strain measurements and particle swarm optimization and support vector machine vol.26, pp.2, 2019, https://doi.org/10.1002/stc.2290
  27. Detection of Shifts in GPS Measurements for a Long-Span Bridge Using CUSUM Chart vol.16, pp.4, 2016, https://doi.org/10.1142/s0219455416400241
  28. Efficient Compression Algorithm with Limited Resource for Continuous Surveillance vol.10, pp.11, 2014, https://doi.org/10.3837/tiis.2016.11.015
  29. A systematic method from influence line identification to damage detection: Application to RC bridges vol.20, pp.5, 2017, https://doi.org/10.12989/cac.2017.20.5.563
  30. Structural health monitoring using piezoceramic transducers as strain gauges and acoustic emission sensors simultaneously vol.20, pp.5, 2014, https://doi.org/10.12989/cac.2017.20.5.595
  31. Bayesian Nonparametric Modeling of Structural Health Indicators under Severe Typhoons and Its Application to Modeling Modal Frequency vol.32, pp.4, 2014, https://doi.org/10.1061/(asce)as.1943-5525.0001023
  32. Self‐calibrating Bayesian real‐time system identification vol.34, pp.9, 2014, https://doi.org/10.1111/mice.12441
  33. Editorial for Special Issue “Energy Dissipation and Vibration Control: Materials, Modeling, Algorithm, and Devices” vol.10, pp.2, 2014, https://doi.org/10.3390/app10020572
  34. Novel textile moisture sensors based on multi-layered braiding constructions vol.90, pp.3, 2014, https://doi.org/10.1177/0040517519868172
  35. Analysis of acoustic emission signals during fatigue testing of a M36 bolt using the Hilbert-Huang spectrum vol.7, pp.1, 2014, https://doi.org/10.12989/smm.2020.7.1.013
  36. Hazard analysis and monitoring for debris flow based on intelligent fuzzy detection vol.7, pp.1, 2014, https://doi.org/10.12989/smm.2020.7.1.059
  37. Multi-variate Empirical Mode Decomposition (MEMD) for ambient modal identification of RC road bridge vol.7, pp.4, 2014, https://doi.org/10.12989/smm.2020.7.4.283
  38. Crack Detection in Plate-Like Structures Using Modal Strain Energy Method considering Various Boundary Conditions vol.2021, pp.None, 2021, https://doi.org/10.1155/2021/9963135
  39. Propagative broad learning for nonparametric modeling of ambient effects on structural health indicators vol.20, pp.4, 2014, https://doi.org/10.1177/1475921720916923
  40. Workflow for Off-Site Bridge Inspection Using Automatic Damage Detection-Case Study of the Pahtajokk Bridge vol.13, pp.14, 2014, https://doi.org/10.3390/rs13142665
  41. Online probabilistic model class selection and joint estimation of structures for post-disaster monitoring vol.27, pp.15, 2014, https://doi.org/10.1177/1077546320949115
  42. Broad Bayesian learning (BBL) for nonparametric probabilistic modeling with optimized architecture configuration vol.36, pp.10, 2014, https://doi.org/10.1111/mice.12663
  43. Review on Vibration-Based Structural Health Monitoring Techniques and Technical Codes vol.13, pp.11, 2021, https://doi.org/10.3390/sym13111998