Detection ofTensile Forces in Cable-Stayed Structures Using the Advanced Hybrid Micro-Genetic Algorithm

This study deals with an advanced numerical
techniques to detect tensile forces in cable-stayed structures. The
proposed method allows us not only to avoid the trap of minimum at
initial searching stage but also to find their final solutions in better
numerical efficiency. The validity of the technique is numerically
verified using a set of dynamic data obtained from a simulation of the
cable model modeled using the finite element method. The results
indicate that the proposed method is computationally efficient in
characterizing the tensile force variation for cable-stayed structures.


Authors:



References:
[1] T. Shinke, K. Hironaka, H. Zui, and H. Nishimura,"Practical formulas for
estimation of cable tension by vibration method,”Journal of Structural
Engineering, ASCE, vol. 122, no. 4,pp. 651-656, 1996.
[2] T. Shimada, "Estimating method of cable tension from natural frequency
of high mode,”Proc. of JSCE, vol. 501(I-29), 1994, pp. 163-171.
[3] H. Tang, S. Xue, and C. Fan,"Differential evolution strategy for structural
system identification,” Computers and Structures, vol .86,pp. 2004-2012,
2008.
[4] T. Park, S. Moon, H. J. Joo, and B. H. Kim,"Estimating tensile force of
hangers in suspension bridges using frequency based SI technique: I.
Theory,” Journal of the Korean Society of Civil Engineers,vol. 27(2A),pp.
165-172, 2007.
[5] S. B. Bati, and U. Tonietti,"Experimental methods for estimating in situ
tensile force in tie-rods,” Journal of Engineering Mechanics, ASCE,vol.
127, no.12, pp. 1275-1283, 2001.
[6] C. Blasi, and S. Sorace,"Determining the axial force in metallic rods,”
Structural Engineering International (IABSE),vol. 4, pp. 241-246, 1994.
[7] S. Park, S. Choi, and S. T. Oh, and N. Stubbs,"Identification of the tensile
force in high-tension bars using modal sensitivities,” International Journal
of Solids and Structures 2006; 43(10), 3185-3196.
[8] T. Park, H. T. Jang, M. H. Noh, and K. S. Park,"Evaluation on the lost
prestressing force of an external tendon using the combination of FEM
and HGA: I. Theory,” Journal of the Korean Institute for Structural
Maintenance Inspection,vol. 13, no. 5, pp. 109-120, 2009.
[9] S. Y. Lee, and S. C. Wooh, "Waveform-based identification of structural
damage using the combined finite element method and microgenetic
algorithms,” ASCE Journal of Structural Engineering, vol. 131, no. 9, pp.
1464-1472, 2005.
[10] M. H. Noh, H. T. Jang, S. Y. Lee, and T. Park,"Tensile force estimation of
externally prestressed tendon using SI technique based on differential
evolutionary algorithm,” Journal of the Korean Society of Civil Engineers,
vol. 29(1A), pp. 9-18, 2009.
[11] M. Y. Noh, and S. Y. Lee,"Moving Load Identification in Time Domain
Using a Coupled Genetic Algorithm,”Lecture Notes in Computer
Science,vol. 338,pp. 136-143, 2012.
[12] P. K. Gudla, and R. Ganguli,"An automated hybrid genetic-conjugate
gradient algorithm for multimodal optimization problems,”Applied
Mathematics and Computation,vol. 167,pp. 1457-1474, 2005.