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A Proposal of the Gage-Free Safety Assessment Technique for the Steel Beam Structure Under Uncertain Loads and Support Conditions Using Motion Capture System

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Ad Hoc Networks (ADHOCNETS 2015)

Abstract

Estimating the maximum stress through stress distribution of a structure is an important indicator for structural safety evaluation. Structural health monitoring can be used to do this with a variety of measuring equipment such as strain gage, LVDT, LDS. All the measuring equipment, however, has some weakness in the configuration of complex wire network and some inconvenience of replacing faulty sensors. Therefore, this paper suggests a technique that can estimate stress distribution of steel beam structure under uncertain load and support conditions by using motion capture system (MCS). MCS is a Vision-based Monitoring System, which measures 3D coordinates of multiple markers attached to the surface of steel beam without installing the complex wire network. In this study, the stress distribution is estimated from an analytic model by using displacement values measured by MCS. For the evaluation of the estimated stress distribution, comparing with the measured stress from ESG is performed.

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References

  1. Lee, H.M., Choi, S.W.: Jung, Dong-jo., Park, H.S.: Analytical Model for Estimation of Maximum Normal Stress in Steel Beam-Columns Based on Wireless Measurement of Average Strains from Vibrating Wire Strain Gages. Computer-Aided Civil and Infrastructure Engineering 28, 707–717 (2013)

    Article  Google Scholar 

  2. Park, H.S., Kim, J.Y., Kim, J.G., Choi, S.W., Kim, Y.: A New Position Measurement System Using a Motion-Capture Camera for Wind Tunnel Tests. Sensors 13, 12329–12344 (2013)

    Article  Google Scholar 

  3. Fraser, C.S., Rieedel, B.: Monitoring the thermal deformation of steel beams via vision metrology. J. Photogramm. Remote Sens. 55, 268–276 (2000)

    Article  Google Scholar 

  4. Choi, S.W., Lee, Jihoon., Oh, B.H., Park, H.S.: Measurement Model for the Maximum Strain in Beam Structures Using Multiplexed Fiber Bragg Grating Sensors. International Journal of Distributed Sensor Networks (2013)

    Google Scholar 

  5. Lee, H.M., Park, H.S.: Measurement of Maximum Strain of Steel Beam Structures Based on Average Strains From Vibrating Wire Strain Gages. Experimental Techniques. 37, 23–29 (2013)

    Article  Google Scholar 

  6. Lee, J.J., Shinozuka, M.: A vision-based system for remote sensing of bridge displacement. NDT. E. Int. 39, 425–431 (2006)

    Article  Google Scholar 

  7. Corradini, M.L., Fioretti, S., Leo, T.: Numerical differentiation in movement analysis: How to standardize the evaluation of techniques. Med. Biol. Eng. Comput. 31, 187–197 (1993)

    Article  Google Scholar 

  8. Choi, S.W., Kim, B.R., Lee, H.M., Kim, Y.: A deformed Shape Monitoring Model for Building Structures Based on 2D Laser Scanner. Sensors 13, 6746–6758 (2013)

    Article  Google Scholar 

  9. Lee, H.M., Park, H.S.: Estimation of Deformed Shapes of Beam Structures using 3D Coordinate Information from Terrestrial Laser Scanning. CMES. 29, 29–44 (2008)

    Google Scholar 

  10. Kang, D.S., Lee, H.M.: Computing Method for Estimating Strain and Stress of Steel Beams using Terrestrial Laser Scanning and FEM. Key Engineering Materials. 347, 517–522 (2007)

    Article  Google Scholar 

  11. Park, H.S., Jung, H.S., Kwon, Y.H., Seo, J.H.: Mathematical models for assessment of the safety of steel beams based on average strains from long gage optic sensors. Sensors and Actuators A. 125, 109–113 (2006)

    Article  Google Scholar 

  12. Hampshire, T.A., Adeli, H.: Monitoring the behavior of steel structures using distributed optical fiber sensors. Journal of Constructional Steel Research. 53, 267–281 (2000)

    Article  Google Scholar 

  13. Gere, James M.: Mechanics of Materials. Thomson-Engineering (2003)

    Google Scholar 

  14. GILAT, A., SUBRAMANIAM, V.: Numerical Methods for Engineering and Scientists: An Introduction with Applications using matlab. Wiley (2007)

    Google Scholar 

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Correspondence to Hyo Seon Park .

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Park, J.S., Oh, B.K., Choi, S.W., Cho, T., Kim, Y., Park, H.S. (2014). A Proposal of the Gage-Free Safety Assessment Technique for the Steel Beam Structure Under Uncertain Loads and Support Conditions Using Motion Capture System. In: Mitton, N., Gallais, A., Kantarci, M., Papavassiliou, S. (eds) Ad Hoc Networks. ADHOCNETS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-13329-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-13329-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13328-7

  • Online ISBN: 978-3-319-13329-4

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