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Cascade Structural Sizing Optimization with Large Numbers of Design Variables by Dimos C. Charmpis; Nikos D. Lagaros is a Engineering article available to read on EtoBox.

What is Cascade Structural Sizing Optimization with Large Numbers of Design Variables about?

In structural sizing optimization problems, the number of design variables typically used is relatively small. The aim of this work is to facilitate the use of large numbers of design variables in such problems, in order to enrich the set of available design options and offer the potential of achieving lower-cost optimal designs. For this purpose, the concept of cascading is employed, which allows an optimization problem to be tackled in a number of successive autonomous optimization stages. In this context, several design variable configurations are constructed, in order to utilize a different configuration at each cascade sizing optimization stage. Each new cascade stage is coupled with the previous one by initializing the new stage using the finally attained optimum design of the previous one. The first optimization stages of the cascade procedure make use of the coarsest configurations with small numbers of design variables and serve the purpose of basic design space exploration. The last stages exploit finer configurations with larger numbers of design variables and aim at fine-tuning the achieved optimal solution. The effectiveness of this sizing optimization approach is asse

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Author

Dimos C. Charmpis; Nikos D. Lagaros

Published

2022

Language

EN

Field

Engineering (Physical Sciences)