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HomeKey Engineering MaterialsKey Engineering Materials Vols. 306-308Three-Dimensional Stress Analysis by...

Three-Dimensional Stress Analysis by Three-dimensional Local Hybrid Method

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Abstract:

In the displacement measurement inside a specimen by speckle photography, it is not easy to get clear Young's fringes images. Stress-intensity factors of mixed mode can be estimated by embedded speckle photography. However, the error of the stress intensity factor inside a specimen was considerably large. To evaluate the 3-D stress field inside the specimen from displacement data on the free surface obtained from the 2-D intelligent hybrid method, we developed the 3-D local hybrid method based on an inverse problem analysis. The accuracy of the 3-D local hybrid method varies depending on the depth of the plane of error assessment, hybrid domain size, and specimen thickness. Hence the optimal analysis conditions were discussed.

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Fracture and Strength of Solids VI

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Periodical:

Key Engineering Materials (Volumes 306-308)

Pages:

523-528

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.306-308.523

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Online since:

March 2006

Authors:

Kenji Machida

Keywords:

2-D Intelligent Hybrid Method, 3D Local Hybrid Method, Finite Element Model (FEM), Inverse Analysis, Stress Intensity Factor (SIF)

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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[8] Y. Murakami and M. Yoshimura: Trans. Jpn. Soc. Mech. Eng., Vol. 61 (1995), p.2482. Fig. 6 Configuration of fatigue pre-crack front. (A2017) 0.

2.

4.

6.

8 1.

[1] 2.

0 0. 5 1. 0 2Z/ B ∆a B=3mm B=6mm B=10mm Table 1 Relative error between stress intensity factors of full model FEM and local model hybrid method of A2017 specimens with a curved crack front (%) K1 K2 α (degree) α (degree) B (mm) 2Z/B 0 30 60 30 60 90.

97 0. 9 0. 9 0. 9 0. 7 0. 7 0. 7.

87 0. 9 0. 9 0. 9 0. 7 0. 7 0. 7.

70 0. 9 0. 9 0. 9 0. 6 0. 7 0. 7.

47 0. 9 0. 9 0. 9 0. 6 0. 6 0. 7 3.

17 1. 0 1. 0 1. 0 0. 6 0. 6 0. 7.

97 0. 2 0. 2 0. 2 -0. 2 -0. 1 0. 0.

87 0. 4 0. 4 0. 4 -0. 1 0. 0 0. 0.

70 0. 5 0. 5 0. 5 0. 0 0. 0 0. 0.

47 0. 6 0. 6 0. 6 0. 0 0. 0 0. 0 6.

17 0. 6 0. 6 0. 6 -0. 1 0. 0 0. 0.

97 0. 1 0. 1 0. 1 -0. 2 0. 0 0. 0.

87 0. 4 0. 4 0. 4 -0. 1 0. 0 0. 0.

70 0. 5 0. 5 0. 5 -0. 1 0. 0 0. 0.

47 0. 6 0. 6 0. 6 -0. 1 0. 0 0. 0 10.

17 0. 6 0. 6 0. 6 -0. 1 0. 0 0. 0.