About this Journal Submit a Manuscript Table of Contents
Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 647127, 21 pages
http://dx.doi.org/10.1155/2012/647127
Research Article

A Novel Sensitivity Analysis Method in Structural Performance of Hydraulic Press

School of Mechanical Engineering, Tianjin University, Tianjin 300072, China

Received 8 May 2012; Accepted 5 September 2012

Academic Editor: Alexei Mailybaev

Copyright © 2012 Peihao Zhu 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. S. Tarantola and A. Saltelli, “SAMO 2001: methodological advances and innovative applications of sensitivity analysis,” Reliability Engineering and System Safety, vol. 79, no. 2, pp. 121–122, 2001. View at Publisher · View at Google Scholar · View at Scopus
  2. F. Campolongo, J. Cariboni, and A. Saltelli, “An effective screening design for sensitivity analysis of large models,” Environmental Modelling and Software, vol. 22, no. 10, pp. 1509–1518, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Cariboni, D. Gatelli, R. Liska, and A. Saltelli, “The role of sensitivity analysis in ecological modelling,” Ecological Modelling, vol. 203, no. 1-2, pp. 167–182, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. R. Confalonieri, G. Bellocchi, S. Bregaglio, M. Donatelli, and M. Acutis, “Comparison of sensitivity analysis techniques: a case study with the rice model WARM,” Ecological Modelling, vol. 221, no. 16, pp. 1897–1906, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Confalonieri, G. Bellocchi, S. Tarantola, M. Acutis, M. Donatelli, and G. Genovese, “Sensitivity analysis of the rice model WARM in Europe: exploring the effects of different locations, climates and methods of analysis on model sensitivity to crop parameters,” Environmental Modelling and Software, vol. 25, no. 4, pp. 479–488, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Confalonieri, S. Bregaglio, and M. Acutis, “A proposal of an indicator for quantifying model robustness based on the relationship between variability of errors and of explored conditions,” Ecological Modelling, vol. 221, no. 6, pp. 960–964, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. A. J. Jakeman, R. A. Letcher, and J. P. Norton, “Ten iterative steps in development and evaluation of environmental models,” Environmental Modelling and Software, vol. 21, no. 5, pp. 602–614, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Ratto, S. Tarantola, and A. Saltelli, “Sensitivity analysis in model calibration: GSA-GLUE approach,” Computer Physics Communications, vol. 136, no. 3, pp. 212–224, 2001. View at Publisher · View at Google Scholar · View at Scopus
  9. R. Confalonieri, “Monte Carlo based sensitivity analysis of two crop simulators and considerations on model balance,” European Journal of Agronomy, vol. 33, no. 2, pp. 89–93, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. A. J. Jakeman, R. A. Letcher, and J. P. Norton, “Ten iterative steps in development and evaluation of environmental models,” Environmental Modelling and Software, vol. 21, no. 5, pp. 602–614, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. J. J. Tsay and J. S. Arora, “Nonlinear structural design sensitivity analysis for path dependent problems. I. General theory,” Computer Methods in Applied Mechanics and Engineering, vol. 81, no. 2, pp. 183–208, 1990. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  12. J. J. Tsay, J. E. B. Cardoso, and J. S. Arora, “Nonlinear structural design sensitivity analysis for path dependent problems. II. Analytical examples,” Computer Methods in Applied Mechanics and Engineering, vol. 81, no. 2, pp. 209–228, 1990. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  13. J. L. Chenot, E. Massoni, and L. Fourment, “Inverse problems in finite element simulation of metal forming processes,” Engineering Computations, vol. 13, no. 2–4, pp. 190–225, 1996. View at Scopus
  14. S. Badrinarayanan and N. Zabaras, “A sensitivity analysis for the optimal design of metal-forming processes,” Computer Methods in Applied Mechanics and Engineering, vol. 129, no. 4, pp. 319–348, 1996. View at Publisher · View at Google Scholar · View at Scopus
  15. N. H. Kim, K. K. Choi, and J. S. Chen, “Die shape design optimization of sheet metal stamping process using meshfree method,” International Journal for Numerical Methods in Engineering, vol. 51, no. 12, pp. 1385–1405, 2001. View at Publisher · View at Google Scholar · View at Scopus
  16. R. Mahnken and E. Stein, “A unified approach for parameter identification of inelastic material models in the frame of the finite element method,” Computer Methods in Applied Mechanics and Engineering, vol. 136, no. 3-4, pp. 225–258, 1996. View at Scopus
  17. A. Constantinescu and N. Tardieu, “On the identification of elastoviscoplastic constitutive laws from indentation tests,” Inverse Problems in Engineering, vol. 9, no. 1, pp. 19–44, 2001. View at Scopus
  18. G. Bolzon, G. Maier, and M. Panico, “Material model calibration by indentation, imprint mapping and inverse analysis,” International Journal of Solids and Structures, vol. 41, no. 11-12, pp. 2957–2975, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. G. Rauchs, “Optimization-based material parameter identification in indentation testing for finite strain elasto-plasticity,” Zeitschrift für Angewandte Mathematik und Mechanik, vol. 86, no. 7, pp. 539–562, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  20. S. H. Chung, L. Fourment, J. L. Chenot, and S. M. Hwang, “Adjoint state method for shape sensitivity analysis in non-steady forming applications,” International Journal for Numerical Methods in Engineering, vol. 57, no. 10, pp. 1431–1444, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. Q. Zhang and Y. W. Leung, “An orthogonal genetic algorithm for multimedia multicast routing,” IEEE Transactions on Evolutionary Computation, vol. 3, no. 1, pp. 53–62, 1999. View at Scopus
  22. Y. W. Leung and Y. Wang, “An orthogonal genetic algorithm with quantization for global numerical optimization,” IEEE Transactions on Evolutionary Computation, vol. 5, no. 1, pp. 41–53, 2001. View at Publisher · View at Google Scholar · View at Scopus
  23. Z. Hui and T. Guobao, “Structural analysis of modular press machine based on quasi-static approach,” Machine Tool & Hydraulics, vol. 11, pp. 100–102, 2005.
  24. Z. Shengdun, W. Jun, and B. Zhenyue, “Optimum design of the structure of flange supported hydraulic cylinder by genetic algorithms,” Forging & Stamping Technology, vol. 33, pp. 95–98, 2008.
  25. P. F. Dubois, “Python: batteries included,” Computing in Science and Engineering, vol. 9, no. 3, Article ID 4160249, pp. 7–9, 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. S. S. Adams, N. Karst, and J. Pollack, “The minimum decoding delay of maximum rate complex orthogonal space-time block codes,” IEEE Transactions on Information Theory, vol. 53, no. 8, pp. 2677–2684, 2007. View at Publisher · View at Google Scholar
  27. X.-B. Liang, “Orthogonal designs with maximal rates,” IEEE Transactions on Information Theory, vol. 49, no. 10, pp. 2468–2503, 2003. View at Publisher · View at Google Scholar
  28. V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space-time block codes from orthogonal designs,” IEEE Transactions on Information Theory, vol. 45, no. 5, pp. 1456–1467, 1999. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  29. J. D. Kim and E. S. Lee, “A study of ultrasonic vibration cutting of carbon fibre reinforced plastics,” International Journal of Advanced Manufacturing Technology, vol. 12, no. 2, pp. 78–86, 1996. View at Publisher · View at Google Scholar · View at Scopus
  30. J. S. Dhupia, B. Powalka, A. Galip Ulsoy, and R. Katz, “Effect of a nonlinear joint on the dynamic performance of a machine tool,” Journal of Manufacturing Science and Engineering, Transactions of the ASME, vol. 129, no. 5, pp. 943–950, 2007. View at Publisher · View at Google Scholar · View at Scopus
  31. O. Ozsahin, A. Erturk, H. N. Ozguven, and E. Budak, “A closed-form approach for identification of dynamical contact parameters in spindle-holder-tool assemblies,” International Journal of Machine Tools and Manufacture, vol. 49, no. 1, pp. 25–35, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. P. Belhumeur, J. Hespanda, and D. Kriegman, “Eigenfaces vs. fisher-faces: recognition using class specific linear projection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 711–720, 1997.
  33. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, “Robust face recognition via sparse representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210–227, 2009. View at Publisher · View at Google Scholar · View at Scopus
  34. H. Takenaga, S. Abe, M. Takato, M. Kayama, T. Kitamura, and Y. Okuyama, “Input layer optimization of neural networks by sensitivity analysis and its application to recognition of numerals,” Electrical Engineering in Japan, vol. 111, no. 4, pp. 130–138, 1991. View at Scopus