3D Textural Analysis of Fatigue Fracture Surfaces
Three CT specimens from stainless steel AISI 304L were subjected to constant amplitude cyclic loadings with various asymmetries. Crack growth was recorded in detail. Fracture surfaces were documented by 3D maps in about 110 locations in the crack growth direction. 3D maps and their local gradients w...
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| Veröffentlicht in: | Diffusion and defect data. Solid state data. Pt. A, Defect and diffusion forum Defect and diffusion forum, 2020-11, Vol.405, p.259-263 |
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| container_title | Diffusion and defect data. Solid state data. Pt. A, Defect and diffusion forum |
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| creator | Vronková, Tereza Lauschmann, Hynek Tesař, Karel |
| description | Three CT specimens from stainless steel AISI 304L were subjected to constant amplitude cyclic loadings with various asymmetries. Crack growth was recorded in detail. Fracture surfaces were documented by 3D maps in about 110 locations in the crack growth direction. 3D maps and their local gradients were represented by 2D wavelet decompositions in 10 levels resulting in 60 textural features. Statistical models expressing crack growth rate as a function of textural features were optimized. Training and testing approach, a high ratio of overfitting, and testing of significance of components ensured model's robustness. Quality of results is documented by graphs confronting model outputs with real data known from experiment. Results are acceptable in all cases. |
| doi_str_mv | 10.4028/www.scientific.net/DDF.405.259 |
| format | Article |
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| ispartof | Diffusion and defect data. Solid state data. Pt. A, Defect and diffusion forum, 2020-11, Vol.405, p.259-263 |
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| language | eng |
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| source | Scientific.net Journals |
| subjects | Crack propagation Fatigue failure Fracture surfaces Stainless steels Statistical models |
| title | 3D Textural Analysis of Fatigue Fracture Surfaces |
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