Hello
My name is Peter M. Clausen, and I have just added myself to your interesting group. I work at FE-DESIGN (
www.fe-design.com) and I'm actively involved in developing commercial optimization tools. My main interest is non-parametric shape optimization, that is using the FE-nodes directly as design variable. We are currently looking at 2nd generation shape optimization using sensitivities and I am trying to figure out an efficient way to calculate nodal stress sensitivities in e.g. Ansys (or Abaqus, Nastran, ...). What we can do right now, in a prototype code, is to calculate the sensitivities based on approximated strain displacement, material and stiffness matrices using adjoint method, something like [1]:
s = C B u {1}
ds dB dK
--- = C ---- u - q ----- u {2}
da da da
K q = C B {3}
where s: stress, C: material, B: strain displacement matrix, u: displacement, a: design variable, q: adjoint variable, K:stiffness matrix. The latter {3} equation is the the adjoint equation which is solved in Ansys.
The method works in principal, but when we have many loadcases, many design nodes, which is a typical setup the sensitivity calculation become tedious. We have also added constraint lumping/aggregation for many stresses, fx p-norm [2]
s_a = sum ( s_e ^p ) ^(1/p) {4} , where s_a: aggregated stress, s_e: elemental stress, p: norm exponent
It works as well, but is seems very problem dependant.
Now, do any of you reduction model experts have any other ideas about:
- previous publications within model reduction and shape sensitivities (the paper from Han 2011,
JMST_2011_jshan.pdf, got my attention to this group
)
- ideas how to use model reduction in the shape sensitivity case. Either to the sensitivity equations {1-3} or maybe more robust alternatives to {4}
My main interest priority is first linear statics, then non-linear statics and then dynamics. On forehand, thanks for your time and for any replies or comments you may have.
Best regards
Peter M. Clausen
[1] K.U. Bletzinger et al, Approximation of derivatives in semi-analytical structural optimization, Computers & Structures
Volume 86, Issues 13–14, July 2008, Pages 1404–1416
[2] J. R. R. A. Martins and N. M. K. Poon. On Structural Optimization Using Constraint Aggregation, EngOpt, June. 2005.