Structural Dynamics Optimization by Second Order Sensitivity with respect to Finite Element Parameter

유한요소 구조 인자의 2차 민감도에 의한 동적 구조 최적화

  • 김용연 (충북대학교 기계공학부)
  • Published : 2006.06.01

Abstract

This paper discusses design sensitivity analysis and its application to a structural dynamics modification. Eigenvalue derivatives are determined with respect to the element parameters, which include intrinsic property parameters such as Young's modulus, density of the material, diameter of a beam element, thickness of a plate element, and shape parameters. Derivatives of stiffness and mass matrices are directly calculated by derivatives of element matrices. The first and the second order derivatives of the eigenvalues are then mathematically derived from a dynamic equation of motion of FEM model. The calculation of the second order eigenvalue derivative requires the sensitivity of its corresponding eigenvector, which are developed by Nelson's direct approach. The modified eigenvalue of the structure is then evaluated by the Taylor series expansion with the first and the second derivatives of eigenvalue. Numerical examples for simple beam and plate are presented. First, eigenvalues of the structural system are numerically calculated. Second, the sensitivities of eigenvalues are then evaluated with respect to the element intrinsic parameters. The most effective parameter is determined by comparing sensitivities. Finally, we predict the modified eigenvalue by Taylor series expansion with the derivatives of eigenvalue for single parameter or multi parameters. The examples illustrate the effectiveness of the eigenvalue sensitivity analysis for the optimization of the structures.

Keywords

References

  1. Lancaster, P., 1964, 'On eigenvalues of matrices dependent on a parameter,' Numerische math., Vol. 6, pp. 377-387 https://doi.org/10.1007/BF01386087
  2. Morgan, B. S., 1966, 'Computational procedure for sensitivity of an eigenvalue,' Electron. Lett., Vol. 2, pp. 197-198 https://doi.org/10.1049/el:19660166
  3. Garg, S., 1973, 'Derivatives of eigensolutions for a general matrix,' AIAA J., Vol. 11, pp. 1191-1194 https://doi.org/10.2514/3.6892
  4. Rudisill, C. S., 1974, 'Derivatives of eigenvalue, and eigenvectors for a general matrix,' AIAA J., Vol. 12, No. 5, pp. 721-722 https://doi.org/10.2514/3.49330
  5. Rudisill, C. S. and Chu, Y., 1975, 'Numerical methods for evaluating the derivative eigenvalues and eigenvectors,' AIAA J., Vol. 13, pp. 834-837 https://doi.org/10.2514/3.60449
  6. Nelson, R. B., 1976, 'Simplified calculation of eigenvector derivative,' AIAA J., Vol. 14, No. 5, pp. 1201-1205 https://doi.org/10.2514/3.7211
  7. Murthy, D. V. and Haftka, R. T., 1988, 'Derivative of eigenvalues and eigenvectors of a general complex matrix,' International Journal for Numerical Methods in Engineering, Vol. 26, pp. 293-311 https://doi.org/10.1002/nme.1620260202
  8. Kersch, U., 1981, 'Approximate structural reanalysis based on series expansion,' Computer Method in Applied Mechanics and Engineering, Vol. 26, pp. 225-233 https://doi.org/10.1016/0045-7825(81)90096-7
  9. Kersch, U. and Toledano, G., 1983, 'Approximate reanalysis for modifications of structural geometry,' Computers & Structures, Vol. 16, No. 4, pp. 269-277
  10. Vanderplaats, G. N., 1988, 'An efficient approximation technique for frequency constraints in frame optimization,' International Journal for Numerical Methods in Engineering, Vol. 26, pp. 1057-1069 https://doi.org/10.1002/nme.1620260505