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A BIM Based Approach for Structural Health Monitoring of Bridges

  • Structural Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

With the development of bridges, independent condition assessment of large-scale bridges has garnered significant attention over the past few decades. Data-driven structural health monitoring (SHM) techniques offer valuable information on the existing health of the structures, maintain safety, and uninterrupted use under varied operational conditions by undertaking timely risk and hazard mitigation. Traditional approaches, however, are not enough to monitor a large amount of SHM data and conduct systematic decision making for future maintenance. In this paper, a bridge health monitoring system is developed through the combination of building information modeling (BIM) and traditional bridge health monitoring that can organize and visualize a considerable amount of sensor data and subsequent structural health information over a prolonged period. The system can identify the structural damage by evaluating the data from sensors using Wigner-Ville distribution (WVD) in bilinear time-frequency analysis. A BIM-enabled platform is utilized to develop the proposed visualization tool for a long-span bridge and enable automated sensor data inventory into the BIM environment. The system has been tested for its robustness and functionality against the development requirements, and the results showed promising potential to support more effective bridge information management.

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References

  • An YH, Guan DL, Ding YL, Ou JP (2017) Fast warning method for rigid hangers in a high-speed railway arch bridge using long-term monitoring data. Journal of Performance of Constructed Facilities 31(6):04017103, DOI: https://doi.org/10.1061/(ASCE)CF.1943-5509.0001097

    Article  Google Scholar 

  • Boddupalli C, Sadhu A, Azar ER, Pattyson S (2019) Improved visualization of infrastructure monitoring data using building information modelling. Structure and Infrastructure Engineering 15(9):1247–1263, DOI: https://doi.org/10.1080/15732479.2019.1602150

    Article  Google Scholar 

  • Delgado JMD, Butler LJ, Brilakis I, Elshafie MZEB, Middleton CR (2018) Structural performance monitoring using a dynamic data-driven BIM environment. Journal of Computing in Civil Engineering 32(3):04018009, DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000749

    Article  Google Scholar 

  • Fu YG, Peng C, Gomez F, Narazaki Y, Spencer BF (2017) Sensor fault management techniques for wireless smart sensor networks in structural health monitoring. Structural Control & Health Monitoring 26(7):2832089

    Google Scholar 

  • Ge ZX, Chen ZS (2006) MATLAB time-frequency analysis technology and its application. Posts & Telecom press Co., Ltd., Beijing, China, 45–87

    Google Scholar 

  • Geng FF, Yin FZ, Ding YL Sun Z, Xu Z (2018) Research on health monitoring system of bridges based on BIM. Modern Transportation Technology 15(1):35–38 (in Chinese)

    Google Scholar 

  • Goszczynska B, Swit G, Trampczynski W (2016) Application of the IADP acoustic emission method to automatic control of traffic on reinforced concrete bridges to ensure their safe operation. Archives of Civil and Mechanical Engineering 2016(16):867–875, DOI: https://doi.org/10.1016/j.acme.2016.06.003

    Article  Google Scholar 

  • He XH, Chen ZQ, Huang FL (2008) Study on the structure health monitoring of Nanjing Yangtze River Bridge and its key technology. China Railway Science 2008(4):138–140 (in Chinese)

    Google Scholar 

  • Hedegaard BD, French CEW, Shield CK (2017) Time-dependent monitoring and modeling of i-35W St. Anthony Falls Bridge. I: Analysis of monitoring data. Journal of Bridge Engineering 22(7): 04017025, DOI: https://doi.org/10.1061/(ASCE)BE.1943-5592.0001053

    Article  Google Scholar 

  • Jeong S, Hou R, Lynch JP, Sohn H, Law KH (2017) An information modelling framework for bridge monitoring. Advances in Engineering Software 114:11–31, DOI: https://doi.org/10.1016/j.advengsoft.2017.05.009

    Article  Google Scholar 

  • JJG 669-2003 (2003) Verification regulation of load cell. JJG 669-2003, China Quality and Standards Publishing & Media Co., Ltd., Beijing, China, 5–13

  • Jiedeerbieke M, Niu ZW, Li PC, Zhang Y, Kuai PC, Li JT (2020) Dam safety visual monitoring system based on BIM technology and B/S architecture. Journal of Drainage and Irrigation Machinery Engineering 38(6):583–588 (in Chinese)

    Google Scholar 

  • Liu ZG, Mai HP, Huang QY, Wen JL (1998) Preliminary monitoring results of Tsing Ma Bridge. Proceedings of the 13th annual conference of bridge and structural engineering society of China Civil Engineering Society, November 7–8, Shanghai, China (in Chinese)

  • Ma YC, Yan WM, He HX, Wang K (2014) Damage detection based on cross-term extraction from bilinear time-frequency distributions. Mathematical Problems in Engineering 2014(1):10, DOI: https://doi.org/10.1155/2014/986050

    Google Scholar 

  • Mojtaba V, Ashutosh B, Osama M (2019) Development of a BIM-based data management system for structural health monitoring with application to modular buildings: Case study. Journal of Computing in Civil Engineering 33(3):05019003, DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000826

    Article  Google Scholar 

  • Pan YJ, Zhao XX, Liu XG, Cai DG (2017) Analysis and reflection on the application status of BIM technology in bridges. Chinese Railways 2017(12):72–77, DOI: https://doi.org/10.19549/j.issn.1001-683x.2017.12.072 (in Chinese)

    Google Scholar 

  • Samec V, Stampler J, Sorsky H, Gilmore TW (2014) Design and inspection of long span suspension bridges — Bridge information modelling. Bridge maintenance, safety, management and life extension, August 11–12, Istanbul, Turkey

  • Zhang XD, Bao Z (1998) Non-stationary signal analysis and processing. MSc Thesis, National Defence Industry Press, Beijing, China (in Chinese)

    Google Scholar 

  • Zhang MD, He K, Liao XF, Ding J, Cao Y (2018) Time-frequency analysis of geomagnetic field based on Pseudo Wigner-Ville Distribution (PWVD) — A case study of eastern China. Earthquake 38(1):61–73, (in Chinese)

    Google Scholar 

  • Zou H, Zhou X, Li Y (2000) Which time-frequency analysis — A survey. Acta Electronica Sinica 2000(9):78–84 (in Chinese)

    Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge the support provided by the Fundamental Research Funds for the Central Universities (No. 3132019349) for funding this research.

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Authors and Affiliations

  1. College of Transportation Engineering, Dalian Maritime University, Dalian, 116026, China

    Xiaofei Li, Yuyu Xiao & Hainan Guo

  2. School of Civil Engineering, Dalian Jiaotong University, Dalian, 116026, China

    Jisong Zhang

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  1. Xiaofei Li
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  2. Yuyu Xiao
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  3. Hainan Guo
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  4. Jisong Zhang
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Correspondence to Xiaofei Li.

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Li, X., Xiao, Y., Guo, H. et al. A BIM Based Approach for Structural Health Monitoring of Bridges. KSCE J Civ Eng 26, 155–165 (2022). https://doi.org/10.1007/s12205-021-2040-3

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  • DOI: https://doi.org/10.1007/s12205-021-2040-3

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