Title of article :
The MINLP optimization approach to structural synthesis. Part II: Simultaneous topology, parameter and standard dimension optimization by the use of the linked two-phase MINLP strategy
Author/Authors :
S. Kravanja، نويسنده , , Z. Kravanja، نويسنده , , B. S. Bedenik، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1998
Abstract :
Part II describes the Mixed-Integer Non-linear Programming (MINLP) approach to structural synthesis
where standard dimensions are added to simultaneous topology and parameter optimization. For this
purpose, the mechanical superstructure has been enhanced and a special MINLP-MS model formulation for
mechanical superstructures from Part I adapted to standard dimension alternatives, which give rise to
complex MINLP problems that are di¦cult to solve. A Linked Two-Phase MINLP Strategy has been
developed to e¦ciently accelerate the solutions of highly combinatorial MINLP problems, performed by the
ModiÞed OA/ER algorithm. In the Þrst phase, the strategy uses only continuous dimensions making it
easier to Þnd an optimal topology. Based on the obtained global linear approximation of the superstructure,
the proposed strategy in the second phase continues to perform an overall simultaneous optimization, where
standard dimensions are added as additional discrete optimization alternatives. Thus, simultaneous topology,
parameter and standard dimension optimization is now performed in the second phase. The synthesis of
a multiple cantilever beam, introduced in Part I, was performed in accordance with the steps proposed by
the MINLP optimization approach. This approach enables the obtaining of additional savings when
compared to the one in Part I.
Keywords :
optimization , Topology optimization , discrete variable optimization , Mixed-IntegerNon-linear Programming , MINLP , MINLP strategy , structural synthesis , the Modi?ed OA/ER algorithm
Journal title :
International Journal for Numerical Methods in Engineering
Journal title :
International Journal for Numerical Methods in Engineering