Structural Reliability Optimization Design Based on Artificial Neural Network

Li Rong Sha; Yue Yang

doi:10.4028/www.scientific.net/AMR.834-836.1877

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836Structural Reliability Optimization Design Based...

Structural Reliability Optimization Design Based on Artificial Neural Network

Abstract:

The ANN-based optimization design for considering fatigue reliability requirements on structure was proposed in this paper. The ANN-based response surface method was used to analysis fatigue reliability of the structure. The fatigue reliability requirements were taken as constraints while the structural weight as the objective function, the ANN model was performed to simulate the relationship between the fatigue reliability and geometry dimension of the structure, the optimization result of the structure with a minimum weight was obtained, thus can make economic benefit meanwhile ensure the safety of the structure.

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Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

1877-1880

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.1877

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Online since:

October 2013

Authors:

Li Rong Sha*, Yue Yang

Keywords:

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

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