Notch treatment methods for flaw simulation
US-2020333228-A1 · Oct 22, 2020 · US
US9810615B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9810615-B2 |
| Application number | US-201214365273-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 27, 2012 |
| Priority date | Dec 13, 2011 |
| Publication date | Nov 7, 2017 |
| Grant date | Nov 7, 2017 |
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A calibration method for brittle fracture assessment parameters for pressure vessel materials based on the Beremin model includes selecting at least two types of specimens of different constraints, and calculating the fracture toughness values K 0 corresponding to 63.2% failure probability for each type of specimens at a same calibration temperature by using the respective fracture toughness data. The method proceeds by obtaining the stress-strain curve of the material at the calibration temperature, generating finite element models for each type of specimens, and calculating the maximum principal stress and element volume of every element at K=K 0 in each model. A series of values of m are assumed to compute a group of σ u values for each type of specimens, and then m˜σ u curves are plotted for each type of specimens. Brittle fracture assessment parameters are then determined for the material according to the coordinates of the intersection of the m˜σ u curves.
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What is claimed is: 1. A calibration method for the brittle fracture assessment parameters for materials based on the Beremin model, the method comprises the following steps: (1) Selecting at least two types of specimens made of a same material but with different constraints, and calculating the fracture toughness value K 0 corresponding to 63.2% failure probability for each type of specimens at a same calibration temperature by using the respective fracture toughness data; (2) Constructing finite element models for each type of specimens using the stress-strain curve of the material measured at the same calibration temperature, and calculating the maximum principal stress σ 1,i and element volume Vi of each element at K=K 0 in each model, where K is a stress intensity factor that describes the intensity of far field loading on the crack front, and i is an order number of elements; (3) Assuming a series of values of the Weibull slope m and calculating a set of values of the Weibull scale parameter σ u for each type of specimens according to the following equation, and plotting the Beremin's parameters characteristic curves for each type of specimens with the curves representing the relationship between m and σ u for each type of specimens; σ u = ∑ i n ( σ 1 , i ) m V i V 0 m wherein, n represents the number of elements in the fracture process region, V 0 represents a reference volume; (4) Determining the brittle fracture assessment parameters for the material according to the coordinates of the intersection of the Beremin's parameters characteristic curves; (5) using the brittle fracture assessment parameters in safety engineering. 2. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 1 , wherein, in the step (1), fracture toughness tests on each type of specimens are carried out at the same calibration temperature to obtain the fracture toughness data. 3. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 1 wherein, in the step (1), fracture toughness tests are carried out on each type of specimens at different temperatures to obtain the fracture toughness data, and calculating the fracture toughness value K 0 corresponding to 63.2% failure probability at the same calibration temperature by using the predetermined master curve. 4. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 3 wherein, in the step (1), the same calibration temperature is the lowest of the different temperatures. 5. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 1 wherein, in the step (2), the uniaxial tensile test is carried out at the same calibration temperature to obtain the stress-strain curve. 6. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 5 wherein, in the step (3), the values of m are taken as integers larger than 5 and less than 40. 7. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 6 wherein, in the step (3), the fracture process region is defined as the volume inside the loci σ 1,i ≧λσ ys , wherein λ is a constant, σ ys is the yield strength of the material at the calibration temperature. 8. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 7 wherein, in the step (3), the value of λ is 1 or 2. 9. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 1 wherein, in the step (1), at least six fracture toughness data are obtained for each type of specimens are required. 10. The calibration method for the brittle fracture assessment parameters for materials based on the Beremin model according to claim 9 wherein, in the step (1), at least fifteen fracture toughness data are obtained for each type of specimens are required.
Manufacturing, calibrating, or repairing devices used in investigations covered by the preceding subgroups · CPC title
Treatment of the signal; Calibration · CPC title
Calculations based on experimental data · CPC title
Investigating hardness or rebound hardness · CPC title
Fracture or rupture · CPC title
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