Table of Contents Author Guidelines Submit a Manuscript
Journal of Sensors
Volume 2016, Article ID 1368309, 11 pages
http://dx.doi.org/10.1155/2016/1368309
Research Article

Sensor Module Based on the Wireless Sensor Network for the Dynamic Stress on the Flexible Object with Large Deformation

College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received 14 December 2015; Revised 1 April 2016; Accepted 19 April 2016

Academic Editor: Alberto J. Palma

Copyright © 2016 Jinhui Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. Cochrane, M. Lewandowski, and A. V. Koncar, “A flexible strain sensor based on a conductive polymer composite for in situ measurement of parachute canopy deformation,” Sensors, vol. 10, no. 9, pp. 8291–8303, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. L. Yu, H. Cheng, Y. Zhan, and S. Li, “Study of parachute inflation process using fluid-structure interaction method,” Chinese Journal of Aeronautics, vol. 27, no. 2, pp. 272–279, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. H. Cheng, U. Y. Li, and Y. I. N. Zhu-wei, “A new method of complicated folded fabric modeling,” Journal of Harbin Institute of Technology, vol. 19, no. 2, pp. 43–46, 2012. View at Google Scholar
  4. Q. Shi, D. Reasor, Z. Gao, X. Li, and R. D. Charles, “On the verification and validation of a spring fabric for modeling parachute inflation,” Journal of Fluids and Structures, vol. 58, pp. 20–39, 2015. View at Publisher · View at Google Scholar · View at Scopus
  5. K. Takizawa, T. Spielman, C. Moorman, and T. E. Tezduyar, “Fluid-structure interaction modeling of spacecraft parachutes for simulation-based design,” Journal of Applied Mechanics, vol. 79, no. 1, Article ID 010907, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. K. Takizawa, S. Wright, C. Moorman, and T. E. Tezduyar, “Fluid–structure interaction modeling of parachute clusters,” International Journal for Numerical Methods in Fluids, vol. 65, no. 1–3, pp. 286–307, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. I. M. Khan and K. S. Anderson, “A logarithmic complexity divide-and-conquer algorithm for multi-flexible-body dynamics including large deformations,” Multibody System Dynamics, vol. 34, no. 1, pp. 81–101, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  8. I. M. Khan, W. Ahn, K. S. Anderson, and S. De, “A logarithmic complexity floating frame of reference formulation with interpolating splines for articulated multi-flexible-body dynamics,” International Journal of Non-Linear Mechanics, vol. 57, pp. 146–153, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. T. Zheng and D.-G. Zhang, “Limitations of MSC. ADAMS for high-speed and large deformation problems of rigid-flexible coupling systems,” Journal of Nanjing University of Science and Technology, vol. 36, no. 6, pp. 993–998, 2012. View at Google Scholar · View at Scopus
  10. H. G. Heinrich and D. P. Saari, “Parachute canopy stress measurements at steady state and during inflation,” Journal of Aircraft, vol. 15, no. 8, pp. 534–539, 1978. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Cochrane, V. Koncar, M. Lewandowski, and C. Dufour, “Design and development of a flexible strain sensor for textile structures based on a conductive polymer composite,” Sensors, vol. 7, no. 4, pp. 473–492, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Tang and M. Zhu, “A measurement of flexible filled structure stress and strain of new type of sensor system,” in 23th National Space Exploration Abstract Set of Academic Exchange, 2010. View at Google Scholar
  13. J. Bazin and T. D. Fields, “Validation and flight testing of a wireless load distribution measuring system,” in Proceedings of the 23rd AIAA Aerodynamic Decelerator Systems Technology Conference, Aerodynamic Decelerator Systems Technology Conferences, AIAA 2015-2120, Daytona Beach, Fla, USA, 2015. View at Publisher · View at Google Scholar
  14. S. A. Khan, T. Islam, and G. Husain, “Artificial neural network based online sensor calibration and compensation,” International Journal of Computing, vol. 6, no. 3, pp. 74–78, 2014. View at Google Scholar
  15. R. Song, X. Chen, C. Shen, and H. Zhang, “Modeling FOG drift using back-propagation neural network optimized by artificial fish swarm algorithm,” Journal of Sensors, vol. 2014, Article ID 273043, 6 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus