Browse > Article
http://dx.doi.org/10.12652/Ksce.2014.34.6.1655

Estimation of Dynamic Vertical Displacement using Artificial Neural Network and Axial strain in Girder Bridge  

Ok, Su Yeol (Hyundai Engineering & Construction)
Moon, Hyun Su (Yonsei University)
Chun, Pang-Jo (Ehime University)
Lim, Yun Mook (Yonsei University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.34, no.6, 2014 , pp. 1655-1665 More about this Journal
Abstract
Dynamic displacements of structures shows general behavior of structures. Generally, It is used to estimate structure condition and trustworthy physical quantity directly. Especially, measuring vertical displacement which is affected by moving load is very important part to find or identify a problem of bridge in advance. However directly measuring vertical displacement of the bridge is difficult because of test conditions and restriction of measuring equipment. In this study, Artificial Neural Network (ANN) is used to suggest estimation method of bridge displacement to overcome constrain conditions, restriction and so on. Horizontal strain and vertical displacement which are measured by appling random moving load on the bridge are applied for learning and verification of ANN. Measured horizontal strain is used to learn ANN to estimate vertical displacement of the bridge. Numerical analysis is used to acquire learning data for axis strain and vertical displacement for applying ANN. Moving load scenario which is made by vehicle type and vehicle distance time using Pearson Type III distribution is applied to analysis modeling to reflect real traffic situation. Estimated vertical displacement in respect of horizontal strain according to learning result using ANN is compared with vertical displacement of experiment and it presents vertical displacement of experiment well.
Keywords
Bridge; Displacement; Strain; Moving load; Scenario;
Citations & Related Records
연도 인용수 순위
  • Reference
1 AASHTO (2002). AASHTO Standard specifications for highway bridges, 17th Edition, Washington, D.C.
2 AASHTO (2007). AASHTO LRFD bridge design specifications, 4th Edition, Washington, D.C.
3 Ahmed, K. A., Abdelhady, M. B. A. and Abouelnour, A. M. A. A. (1997). "The improvement of ride comfort of a city bus which is fabricated on a lorry chassis." Engineering Research Journal, Vol. 53 (June).
4 Cho, N. S. and Kim, N. S. (2008). "Prediction of the static deflection profiles on suspension bridge by using FBG strain sensors." Journal of KSCE, Vol. 28, No. 5A, pp. 699-707 (in Korean).   과학기술학회마을
5 Chun, P. (2010). Skewed bridge behaviors: Experimental, Analytical, and Numerical Analysis, Ph.D. Dissertation, Wayne state University, Detroit.
6 Hong, Y. H. (2007). A regularization scheme for displcement reconstruction using acceleration data measured from structures, Master Dissertation, Seoul National University Graduate School, Seoul (in Korean).
7 Jang, S. J. and Kim, N. S. (2008). "Estimation of displacement response from the measured dynamic strain signals using mode decomposition technique." Jouranl of KSCE, Vol. 28, No. 4A, pp. 507-515 (in Korean).   과학기술학회마을
8 Kim, B. T., Kim, Y. S. and Lee, W. J. (2000). "Prediction of lateral deflection and maximum bending moment of model piles using artificial neural network." Journal of KGS, Vol. 16, No. 5, pp. 169-178 (in Korean).   과학기술학회마을
9 Kim, N. S. and Cho, N. S. (2002). "Estimation of bridge delfection using fiber optic bragg-grating sensors." Journal of KSCE, Vol. 22, No. 6A, pp. 1357-1366 (in Korean).
10 Li, H. (2005). Dynamic response of highway bridges subjected to heavy vehicles, Ph.D. Dissertation, The Florida State University, Panamata.
11 May, A. D. (1990). Traffic flow fundamentals, Prentice Hall, Englewood Cliffs.
12 Mussone, L., Rinelli, S. and Reitani, G. (1996). "Estimating the accident probability of a vehicular flow by means of an artificial neural network." Environment and Planning B: Planning and Design, Vol. 23, No. 6, pp. 667-675.   DOI
13 Moon, T. H. (2000). "ANN simulation of the parcel-based land price appraisal." Journal of KPA, Vol. 35, No. 2, pp. 33-42 (in Korean).   과학기술학회마을
14 Zeng, H. and Bert, C. W. (2003). "Dynamic amplification of bridge/vehicle interaction: A Parametric Study for a Skewed Bridge." Journal of Structural Stability and Dynamics, Vol. 3, No. 1, pp. 71-90.   DOI
15 Moses, F. (1979). "Weigh-in-Motion system using instrumented bridges." Transportation Engineering Journal, Vol. 105, No. 3, pp. 233-249.
16 Powell, G. H. and Allahabadi, R. (1988). "Seismic damage prediction by deterministic methods : Concept and Procedure." Earthquake Engineering And Structural Dynamics, Vol. 16, pp. 719-734.   DOI
17 Zuo, L. and Nayfeh, S. A. (2003). "Structured H2 optimization of vehicle suspensions based on multi-wheel models." Vehicle System Dynamics, Vol. 40, No. 5, pp. 351-371.   DOI