The welded structure has the characteristics of good connectivity, light weight and easy processing, and is widely used in the manufacture of civil aircraft fuel tubes. However, the structural discontinuity of the welded tube can easily lead to stress concentration, and at the same time, the heat generated during the welding process will reduce the strength properties of the material near the weld, making the welded tube one of the weak links in the fuel tube network system, which affect the performance of the aircraft fuel system reliability. In the early aircraft design process, the fuel tubes were designed and selected based on experience, and there was no effective method for fatigue analysis of welded tubes. In this paper, a fatigue analysis method of aircraft fuel thin-walled welded tube is proposed, the fatigue test piece of fuel thin-walled welded tube was designed, the fatigue test method was formulated, and the test data was analyzed based on the DFR method, and DFR value of typical 6061-T4 aluminum fuel thin-walled welded tube for civil aircraft was obtained. Combined with the finite element analysis example of fuel thin-wall welded tube, the general process of welded tube fatigue strength evaluation is given. This paper provides a reference for the fatigue design and engineering application of aircraft fuel thin-wall welded tubes.
With the changes of illumination, action and background, face clustering is a challenging task that demands accuracy and robustness. In order to improve the face clustering performance in videos, we propose a method which considers the available prior knowledge, multi-view and constrained information. First, multiple features of images are extracted, and sparse subspace clustering algorithm is used to achieve the coefficient matrix. Then, the constrained track matrix and KNN are used to reconstruct the coefficient matrix. Finally, the clustering result is obtained by co-training spectral clustering. The experiment results on two real-world video datasets demonstrate the effectiveness of the approach.
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