Design Optimization utilizing dynamic substructuring and artificial intelligence techniques (CD ROM)

Didem Akcay-Perdahcioglu, Marcellinus Hermannus Maria Ellenbroek, Peter van der Hoogt, Andries de Boer

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In mechanical and structural systems, resonance may cause large strains and stresses which can lead to the failure of the system. Since it is often not possible to change the frequency content of the external load excitation, the phenomenon can only be avoided by updating the design of the structure. In this paper, a design optimization strategy based on the integration of the Component Mode Synthesis (CMS) method with numerical optimization techniques is presented. For reasons of numerical efficiency, a Finite Element (FE) model is represented by a surrogate model which is a function of the design parameters. The surrogate model is obtained in four steps: First, the reduced FE models of the components are derived using the CMS method. Then the components are aassembled to obtain the entire structural response. Afterwards the dynamic behavior is determined for a number of design parameter settings. Finally, the surrogate model representing the dynamic behavior is obtained. In this research, the surrogate model is determined using the Backpropagation Neural Networks which is then optimized using the Genetic Algorithms and Sequential Quadratic Programming method. The application of the introduced techniques is demonstrated on a simple test problem.
Original languageUndefined
Title of host publication26 th International Modal Analysis Conference IMAC-XXV: A conference & Exposition on structural dynamics
Place of PublicationOrlando, Florida, USA
Number of pages10
Publication statusPublished - 4 Feb 2008
Event26th International Modal Analysis Conference, IMAC-XXVI: A Conference & Exposition on Structural Dynamics - Orlando, Florida, US
Duration: 4 Feb 20087 Feb 2008


Conference26th International Modal Analysis Conference, IMAC-XXVI: A Conference & Exposition on Structural Dynamics
OtherFebruary 4-7, 2008


  • METIS-255403
  • IR-58899

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