THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Zhao-Li Zheng

,

Yu-Qi Wang

,

Di Zhang

AN EFFICIENT OPTIMIZATION METHOD FOR STRUCTURES WITH LOCAL NON-LINEARITY

ABSTRACT
During the operation of turbines, one of the common accidents is due to the structure failure of blades. The contact model with strong non-linearity and time variation makes it difficult to be analyzed. In this paper, firstly, the contact model is described by using fractal theory. Secondly, the new method for the optimization of turbine blade is proposed, which is a kind of structure with local nonlinearity and multi degree of freedom. The method reduces the number of degrees of freedom by forming a new super element, which makes the linear part of turbine blade without repeated calculation in the non-linear iteration process. Therefore, it can shorten the calculation time and reduce the demand for computing resources. Finally, an optimization of the turbine blade is carried out, and the maximum equivalent stress reduces by 13.19%, which proves the effectiveness of the new optimization method.
KEYWORDS
finite element, substructure method, structure optimization, fractal theory, local non-linearity, turbine blade
PAPER SUBMITTED: 2016-01-10
PAPER REVISED: 2016-02-20
PAPER ACCEPTED: 2016-03-25
PUBLISHED ONLINE: 2016-09-24
DOI REFERENCE: https://doi.org/10.2298/TSCI16S3879Z
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2016, VOLUME 20, ISSUE Supplement 3, PAGES [S879 - S886]
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An efficient optimization method for structures with local non-linearity

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