Skip to main content
SpringerLink
Log in

Recent R&D activities on structural health monitoring for civil infra-structures in Korea

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

Abstract

Developments and applications of structural health monitoring (SHM) systems have become active particularily for long-span bridges in Korea. They are composed of sensors, data acquisition system, data transmission system, information processing, damage assessment, and information management. In this paper, current status of research and application activities on SHM systems for civil infra-structures in Korea are briefly introduced by 4 parts: (1) current status of bridge monitoring systems on existing and newly constructed bridges, (2) research and development activities on smart sensors such as optical fiber sensors and piezo-electric sensors, (3) structural damage detection methods using measured data, and (4) a test road project for verification and enhancement of the pavement design procedures by the Korea Highway Corporation. Finally the R&D activities of a newly established Smart Infra-Structure Technology Center at Korea Advanced Institute of Science and Technology are also briefly described.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Kim, K.S., Chung, C., and Kim, H.J. (2003) “Fiber Optic Structural Monitoring of Concrete Beam Retrofitted by Composite Patches.”SPIE Proceedings, 5050-24, SPIE’s 10th Annual International Symposium on Smart Structures and Materials.

  • Kim, C.G., Kim, D.H., and Hong, C.S. (2002) “Development of FBG Sensor System for Measuring the High Frequency Vibration of Structures and the Natural Frequency of Composites.”Proceedings of US-Korea Workshop on Smart Infra-Structural Systems.

  • Kim, K.S., Yoo, H., and Lee, H. (2000) “Economical and Multiple Fiber Grating Sensor System with Rapid Response using CDMA.” OFS2000,14th International Conference on Opitcal Fiber Sensors, SPIE, Vol. 4185, pp. 712–715.

    Google Scholar 

  • Kim, K.S., Cho, S.K., and Bae, B. (2003) “High-speed Weigh-in Motion Measurement with Bragg Grating Sensors.”SPIE Proceedings 5024-30 SPIE’s 10th Annual International Symposium on Smart Structures and Materials.

  • Soh, C.K., Tseng, K. K-H, Bhalla, S., and Gupta, A. (2000). “Performance of smart piezoceramic transducers in health monitoring of RC bridge.”Smart Materials and Structures, Vol. 9, pp. 553–542.

    Article  Google Scholar 

  • Tseng, K. K-H, Soh, C.K., Gupta, A., and Bhalla, S. (2000) “Health monitoring of civil infrastructure using smart piezo ceramic transducers,”Proc. 2nd Int. Conf. on Computational Methods for Smart Structures and Materials, Madrid, Spain, pp. 153–162.

  • Park, H.W., Shin, S., and Lee, H.S. (2001) “Determination of an Optimal Regularization Factor in System Identification with Tikhonov Regularization for Linear Elastic Continua.”International Journal of Numerical Methods in Engineering. Vol. 51, pp. 1211–1230.

    Article  MATH  Google Scholar 

  • Hjelmstad, K.D. and Shin, S. (1996) “Crack Identification in a Cantilever Beam from Modal Response.”Journal of Sound and Vibration, Vol. 198, No. 5, pp. 527–545.

    Article  Google Scholar 

  • Lee, H.S., Kim, Y.H., Park, C.J., and Park, H.W. (1999) “A New Spatial Regularization Scheme for the Identification of the Geometric Shape of an Inclusion in a Finite Bodies.”International Journal for Numerical Methods in Engineering, Vol. 46, pp. 973–992.

    Article  MATH  Google Scholar 

  • Yun, C.B. and Bahng, E.Y. (2000) “Substructural identification using neural networks.”Computers and Structures, Vol. 77, No. 1, pp. 41–52.

    Article  Google Scholar 

  • Lee, J.W., Kim, J.D., Yun, C.B., Yi, J.H., and Shim, J.M. (2002) “Health-Monitoring Method for Bridges under Ordinary Traffic Loadings.”Journal of Sound and Vibration, Vol. 257, No. 2, pp. 247–264.

    Article  Google Scholar 

  • Lee, J.J., Lee, J.W., Yi, J.H., Yun, C.B., and Jung, H.Y. (2003) “Neural Networks-based Damage Detection for Bridges Considering Errors in Baseline Finite Element Models.”Journal of Sound and Vibration, submitted.

  • Kim, J.T. and Stubbs, N. (2002) “Improved Damage Identification Method Based on Modal Information.”Journal of Sound and Vibration, Vol. 252, No. 2, pp. 223–238.

    Article  Google Scholar 

  • Kim, J.T., Ryu, Y.S., Cho, H.M., and Stubbs, N. (2003) “Damage Identification in Beam-Type Structures: Frequency-Based Method Vs Mode-Shape-Based Method.”Engineering Structures, Vol. 25, pp. 57–67.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Smart Infra-Structure Technology Center, KAIST, Daejon, Korea

    Chung-Bang Yun (Member, Prof.)

  2. Dept of Civil and Environ. Eng., KAIST, Daejon, Korea

    Jong-Jae Lee (Doctoral Student)

  3. Dept. of Str. Eng., Seoul Nat. Univ. of Tech., Seoul, Korea

    Sung-Kon Kim (Member, Assit. Prof)

  4. Korea Highway Corporation, Hwaseong, Korea

    Ji-Won Kim (Senior Research Engineer)

Authors
  1. Chung-Bang Yun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jong-Jae Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sung-Kon Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ji-Won Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chung-Bang Yun.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yun, CB., Lee, JJ., Kim, SK. et al. Recent R&D activities on structural health monitoring for civil infra-structures in Korea. KSCE J Civ Eng 7, 637–651 (2003). https://doi.org/10.1007/BF02829136

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02829136

Keywords

Search

Navigation