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Instrumentation of bridges for structural health monitoring

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

Abstract

As the state of the art in bridge design is advancing toward the performance-based design, it becomes increasingly important to monitor and evaluate the long-term structural performance of bridges. Such information is essential in developing performance criteria for design. In this research, sensor systems for long-term structural performance monitoring have been installed on two highway bridges. Preliminary vibration measurement and data analysis have been performed on these instrumented bridges. On one bridge, ambient vibration data have been collected, based on which natural frequencies and mode shapes have been extracted using various methods and compared with those obtained by the preliminary finite element analysis. On the other bridge, braking and bumping vibration tests have been carried out using a water truck in addition to ambient vibration tests. Natural frequencies and mode shapes have been derived and the results by the breaking and bumping vibration tests have been compared. For the development of a 3 dimensional baseline finite element model, the new methodology using a neural network is proposed. The proposed one have been verified and applied to develop the baseline model of the bridge.

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Author information

Authors and Affiliations

  1. Unison Industrial Co., Ltd., Korea

    Doo Kie Kim (Member, Senior Researcher)

  2. Department of Civil Engineering, Taegu University, Koera

    Jong-In Kim (Member, Professor)

  3. Department of Civil and Environmental Engineering, University of California USA, California, USA

    Maria Q. Feng (Associate Professor)

Authors
  1. Doo Kie Kim
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  2. Jong-In Kim
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  3. Maria Q. Feng
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Corresponding author

Correspondence to Doo Kie Kim.

Additional information

The manuscript for this paper was submitted for review on April 16, 2001.

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Kim, D.K., Kim, JI. & Feng, M.Q. Instrumentation of bridges for structural health monitoring. KSCE J Civ Eng 5, 231–242 (2001). https://doi.org/10.1007/BF02830656

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  • DOI: https://doi.org/10.1007/BF02830656

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