The ``saw-tooth'' correction next up previous
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The ``saw-tooth'' correction

The linear and the second order saw-tooth correctors are shown schematically in Figures 8 and 9. The decomposition of the second order corrector into a linear and a quadratic term is also shown in Figure 10.

  figure322
Figure 8:  General representation of linear saw-tooth correctors.

   figure328
Figure 10:   Decomposition of a second order saw-tooth corrector into a linear and a quadratic term.
Figure 9:   General representation of second order saw-tooth correctors.

In order to apply the saw-tooth correction, the matrix equation (20) is modified as follows:

  equation339

where tex2html_wrap_inline209 and tex2html_wrap_inline211 are the matrices of influence coefficients for the linear saw-tooth (with unit slope) on each panel, and tex2html_wrap_inline213 and tex2html_wrap_inline215 are the matrices of influence coefficients for the quadratic terms (with unit strength) on each panel. The self-influence coefficients for the linear and the quadratic terms are evaluated analytically, and their values are given in Appendices A.2 and A.3, respectively. The other coefficients are evaluated via 8-point Gauss quadrature. tex2html_wrap_inline217 and tex2html_wrap_inline219 are vectors with 2N components the derivatives (evaluated at the panel mid-points) with respect to arc-length for [u] or [p], respectively. tex2html_wrap_inline227 and tex2html_wrap_inline229 are vectors with 2N components the coefficients of the quadratic terms with respect to arclength (evaluated at the panel mid-points) of the functions [u] or [p], respectively. Using a Taylor expansion around the mid-point of each panel, tex2html_wrap_inline227 and tex2html_wrap_inline229 correspond to the values of the second derivatives with respect to arc-length for [u] or [p], respectively, divided by two.

In case only the linear correctors need to be applied, the two last terms in equation (21) are not included. Also, in the event third or higher order terms need to be included, the corresponding correctors need to be added to the right-hand side of equation (21).

Equation (21) is solved in an iterative sense. At each iteration the matrix of the unknown displacements and tractions (2N in total) is identical to that in the case of the low-order method. Thus, LU decomposition and backward substitution is used in order to determine the unknowns at each iteration. For the first iteration (i=1) the saw-tooth correctors are taken equal to zero, i.e. the pure low-order BEM problem is solved. In subsequent iterations the values of tex2html_wrap_inline227 , tex2html_wrap_inline229 , tex2html_wrap_inline217 , and tex2html_wrap_inline219 are updated by using the [u] and [p] from the previous iteration (i-1). This is accomplished by employing second-order accurate finite difference schemes on the values of tex2html_wrap_inline265 and tex2html_wrap_inline267 (corresponding to the panel mid-points) with respect to arc-length. Centered, backward, or forward differencing is used, depending on the location of the panel mid-points with respect to the corners. In the case [u] or [p] are known, the corresponding tex2html_wrap_inline227 , tex2html_wrap_inline229 , tex2html_wrap_inline217 , and tex2html_wrap_inline219 , as well as the related correctors are evaluated only once and kept the same throughout the iterative process. A convergence criterion of tex2html_wrap_inline281 relative error in the evaluated maximum deflection, is usually imposed. Unlike the case of potential flow BEM around a hydrofoil, described earlier, where even the linear saw-tooth correction method seemed to converge quickly with number of panels (2-3 iterations), in the case of structural BEM the convergence is achieved in sometimes more than 100 iterations. This is primarily due to the fact that our first iteration in the iterative solution is often a ``very bad initial guess'', especially in the case of very thin hydrofoils. A discussion on the improvement of the convergence is given in a later section.


next up previous
Next: RESULTS Up: BEM FOR STRUCTURAL ANALYSIS Previous: The low-order method

Baris Gucun
Tue Mar 4 18:15:49 CST 1997