ANN-Based Structure Optimization with Fatigue Reliability Constrains

Li Rong Sha; Yue Yang

doi:10.4028/www.scientific.net/AMM.204-208.3128

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Crack Analysis on Reinforced Concrete Beams Strengthened by Externally Prestressing Vertical Tensioning Method
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 204-208ANN-Based Structure Optimization with Fatigue...

ANN-Based Structure Optimization with Fatigue Reliability Constrains

Abstract:

The ANN-based optimization for considering fatigue reliability requirements in structural optimization was proposed. The ANN-based response surface method was employed for performing fatigue reliability analysis. The fatigue reliability requirements were considered as constraints while the weight as the objective function, the ANN model was adopted to establish the relationship between the fatigue reliability and geometry dimension of the structure, the optimal results of the structure with a minimum weight was reached.

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Periodical:

Applied Mechanics and Materials (Volumes 204-208)

Pages:

3128-3131

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.204-208.3128

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Online since:

October 2012

Authors:

Li Rong Sha, Yue Yang

Keywords:

Artificial Neural Network (ANN), Fatigue Reliability, Optimization, Response Surface Method (RSM)

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