This paper introduces the design optimization strategies, especially for structures which have dynamic constraints. Design optimization involves first the modeling and then the optimization of the problem. Utilizing the Finite Element (FE) model of a structure directly in an optimization process requires a long computation time. Therefore the Backpropagation Neural Networks (NNs) are introduced as a so called surrogate model for the FE model. Optimization techniques mentioned in this study cover the Genetic Algorithm (GA) and the Sequential Quadratic Programming (SQP) methods. For the applications of the introduced techniques, a multisegment cantilever beam problem under the constraints of its first and second natural frequency has been selected and solved using four different approaches.
|Title of host publication||1st International conference on Artificial intelligence for industrial applications.|
|Place of Publication||Czech Republic|
|Number of pages||6|
|Publication status||Published - 19 Feb 2007|
- Sequential Quadratic Programming
- Structural dynamics
- Genetic Algorithms
- Design Optimization
- Backpropagation Neural Networks
- Finite Element Method
Akcay-Perdahcioglu, D., de Boer, A., & van der Hoogt, P. (2007). Design optimization applied in structural dynamics. In T. Tiskarna (Ed.), 1st International conference on Artificial intelligence for industrial applications. (pp. 45-51). Czech Republic: ICAI.