The Application of Neural Networks in the Reliability Evaluation of Structures

Abstract:

According to the Chinese Structure Code and engineering experience, the factors affecting the reliability of structures are properly qualified as input parameters; this paper mainly researches the application of neural networks in the reliability evaluation of structures. Comparisons are made between the traditional methods of reliability evaluation of established structures and the method put forward in this paper. It is found that the method put forward in this paper is practicable, reliable and effective. Meanwhile, the weaknesses of the traditional reliability evaluation of structures, that is, long period of evaluation, huge and tedious calculation and arbitral judgments, are avoided with the introduction of the new method in this paper.

• Periodical: Key Engineering Materials (Volumes 452-453)
• Pages: 497-500
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.452-453.497
• Online since: November 2010
• Authors: Wei Bing Hu, Hai Pin Yu
• Keywords: Damage Detection, Neural Network (NN), Reliability Evaluation, Structure

References

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