CN113239479B - Application of cyclic hardening model based on welding line dislocation winding precipitation phase in fatigue life prediction of welding joint - Google Patents
Application of cyclic hardening model based on welding line dislocation winding precipitation phase in fatigue life prediction of welding joint Download PDFInfo
- Publication number
- CN113239479B CN113239479B CN202110356761.0A CN202110356761A CN113239479B CN 113239479 B CN113239479 B CN 113239479B CN 202110356761 A CN202110356761 A CN 202110356761A CN 113239479 B CN113239479 B CN 113239479B
- Authority
- CN
- China
- Prior art keywords
- dislocation
- precipitation phase
- welding
- precipitation
- cyclic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/04—Ageing analysis or optimisation against ageing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Fluid Mechanics (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Investigating And Analyzing Materials By Characteristic Methods (AREA)
Abstract
The invention provides an application of a cyclic hardening model based on a welding line dislocation winding precipitation phase in fatigue life prediction of a welding joint, wherein the cyclic hardening model comprises the following steps:
in the formula (I), the compound is shown in the specification,
the invention is based on the welding seam dislocation winding precipitation phase, considers the flow stress caused by the uneven dislocation structure of the welding seam dislocation winding precipitation phase, the back stress caused by the dislocation winding precipitation phase in the welding seam and the influence of the back stress generated by the barrier effect of the welding seam grain boundary on the dislocation on the cyclic yield strength, and establishes the cyclic hardening model of the welding joint on the basis of the flow stress, the model well explains the relation between the flow stress and the maximum stress, the cycle frequency and the plastic strain, explains the microscopic mechanism based on the fatigue failure of the welding seam dislocation winding precipitation phase, and can carry out faster and more accurate evaluation on the cyclic deformation behavior of the welding joint, thereby providing a better theoretical basis for the prediction of the fatigue life of the welding joint.
Description
Technical Field
The invention relates to the technical field of component fatigue life prediction, in particular to application of a cyclic hardening model based on a welding line dislocation winding precipitation phase in fatigue life prediction of a welding joint.
Background
Fatigue failure is widely present in engineering components, so it is very essential to make an effective prediction of the fatigue life of the component, whereas weak links in the engineering component (such as welded joints) are the most prone to fatigue failure. Therefore, in order to ensure safe operation of the engineering components, the cyclic plastic deformation mechanism of the welded joint needs to be studied. The fatigue properties of a welded joint depend on the chemical composition of the welding material and the welding process. In order to properly design the welding material, shorten the development time of the welding material, and properly select the welding process, the relation between the weld microstructure and the fatigue property of the welded joint needs to be determined, and a corresponding cycle hardening model needs to be established.
In recent years, some cycle hardening models are established at home and abroad, but the cycle hardening models are based on macroscopic mechanical parameters, the microscopic mechanism of fatigue failure cannot be explained, and for steel strengthened by a precipitation phase, the precipitation phase can be separated out and generate a large amount of dislocations in the process of cycle plastic deformation, so that the interaction of the dislocations and the precipitation phase is the mechanism of the cycle plastic deformation of the steel. Meanwhile, when a welded joint of steel works under the working condition of fatigue failure, the center of the welded joint is frequently subjected to fatigue fracture. Therefore, under the condition, the cyclic hardening model of the welding joint based on the welding seam dislocation winding precipitation phase is established, the cyclic deformation behavior of the welding joint can be more accurately evaluated, and a theoretical basis is provided for the prediction of the fatigue life of the welding joint.
Disclosure of Invention
The invention aims to establish a welding joint cyclic hardening model based on a welding joint dislocation winding precipitation phase, considers the influence of flow stress caused by an uneven dislocation structure of the welding joint dislocation winding precipitation phase, back stress caused by the dislocation winding precipitation phase in a welding joint and back stress generated by the barrier effect of welding joint grain boundaries on dislocation on cyclic yield strength, explains a microscopic mechanism based on the fatigue failure of the welding joint dislocation winding precipitation phase, can quickly and accurately evaluate the cyclic deformation behavior of the welding joint, and further provides a better theoretical basis for the prediction of the fatigue life of the welding joint.
The technical scheme adopted by the invention is as follows:
the application of a cyclic hardening model based on a welding line dislocation winding precipitation phase in the fatigue life prediction of a welding joint is as follows:
wherein σ max Is the maximum stress; n is the cycle number; e is the modulus of elasticity; delta epsilon t The total plastic strain range; alpha is Taylor hardening coefficient and is dimensionless; m is Taylor factor and is dimensionless; g is shear modulus, GPa, b is Bernoulli vector, nm; the region of the dislocation-entangled precipitate phase is defined as a hard region having a volume fraction f p (ii) a The other regions are soft regions with a volume fraction f m (ii) a ρ is the dislocation density, m -2 ；E p Elastic modulus for the precipitated phase, GPa;
is an efficiency factor for storing dislocations around the precipitation phase, dimensionless; epsilon in Is inelastic strain and dimensionless; a is the half distance between the precipitation phases, nm; r is the radius of the precipitation phase, nm; n is the number of slip systems, and is dimensionless; lambda [ alpha ] G Average distance between slip lines, nm; d is the weld grain size; delta epsilon p Is a plastic strain range, dimensionless, and has the following relationship:
in the formula, k 1 And k 2 The values are constant and dimensionless, parameters relating to the dislocation formation rate and annihilation rate.
Further, f p And f m Is obtained by microstructural photogrammetry, and
in the formula, σ het Flow stress caused by a non-uniform dislocation structure based on a weld dislocation entangled with a precipitation phase.
Still further, the values of r and a are obtained by photogrammetry of the microstructure, and
in the formula, σ kin Back stress caused by the dislocation winding precipitation phase in the weld.
Further, λ G And the value of D is obtained by photogrammetry of the microstructure, and
σ G the back stress generated by the barrier effect of the weld grain boundary on dislocation.
The design idea of the invention is as follows:
1. derivation of flow stress σ caused by inhomogeneous dislocation structure based on weld dislocation winding precipitation phase het ：
In formula (1), the values of α, M, G and b can be obtained by referring to the literature, and in general, α =0.2, M =3.06, G =55.69gpa, b =0.255nm for austenitic steels; f. of p And f m The value of (a) can be obtained by microscopic structure photograph measurement; the value of ρ can be calculated from Electron Back Scattering Diffraction (EBSD) experimental data.
2. Derivation of Back stress sigma caused by dislocation winding precipitation phase in weld kin ：
In formula (2), E p ，
And the value of n can be obtained by consulting literatureE p Depending on the type of precipitated phase; />
Depending on the extent to which the actual dislocations entangle the precipitation phase, it is generally taken `>
n is related to the plastic deformation of the material under applied cyclic loads, typically taking n = 2); the values of r and a can be obtained by photogrammetry of the microstructure; epsilon in Obtained through experimental data (e.g., room temperature low cycle fatigue experiments, room temperature high cycle fatigue experiments, high temperature low cycle fatigue experiments, and creep-fatigue experiments).
3. Deducing back stress sigma generated by the barrier effect of weld grain boundary on dislocation G ：
In formula (3), λ G And the value of D can be obtained by photogrammetry of the microstructure; delta epsilon p Obtained through experimental data (e.g., room temperature low cycle fatigue experiments, room temperature high cycle fatigue experiments, high temperature low cycle fatigue experiments, and creep-fatigue experiments).
1. The measuring software in 2 and 3 adopts Nano measuring.
4. Derivation of maximum stress sigma max Theoretical relationship to cycle number N:
by adding the three forces in equations (1), (2) and (3) respectively, the maximum stress and the theoretical relationship between the maximum stress and the number of cycles can be obtained:
by substituting equations (5), (6) and (7) into equation (4), the theoretical relationship between the maximum stress and the number of cycles can be obtained.
Thus, based on the fitting of experimental data, a relationship curve of the maximum stress and the cycle number can be obtained (the software used for the fitting is Origin).
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention takes the dislocation winding precipitation phase of the welding seam as a basis, simultaneously considers the flowing stress caused by the uneven dislocation structure of the dislocation winding precipitation phase of the welding seam, the back stress caused by the dislocation winding precipitation phase in the welding seam and the influence of the back stress generated by the barrier effect of the crystal boundary of the welding seam on the dislocation on the cyclic yield strength, and establishes a cyclic hardening model of the welding joint on the basis:
(i.e.: broken>
) The model well explains the relationship with the maximum stress, the cycle number and the plastic strain, and the verification result shows that the calculated value and the true value of the model with the maximum stress increased along with the cycle number are compared and are very close to each other, and the deviation is not more than 10%. This demonstrates that the cyclic hardening model based on the weld dislocation entangled precipitation phase designed by the present invention is effective.
Further, in the case of the cycle hardening material, since the maximum stress can reflect the degree of cycle hardening of the material, it is an important factor for determining the fatigue damage, and in the present invention, since k is a factor of 1 And k 2 The parameters related to the dislocation forming rate and annihilation rate are obtained by fitting the values of Z 'and Y' to macroscopic experimental data and utilizing the commonFormula (II)
K can be calculated 1 And k 2 To explain the microscopic mechanism of fatigue failure based on the weld dislocation entangled precipitate phase. Therefore, when research related to the steel reinforced by the precipitation phase is subsequently carried out, the corresponding maximum stress and k can be obtained by combining the model calculation according to the results of the plastic strain and the cycle times 1 And k 2 The value of (2) can quickly and accurately evaluate the cyclic deformation behavior of the welding joint.
(3) The method has the advantages of reasonable design, convenient operation and reliable result, and provides a better theoretical basis for predicting the fatigue life of the welding joint.
Drawings
FIG. 1 is a graph showing the fitting results of the relationship between the number of cycles and the plastic strain range in example 1 of the present invention.
FIG. 2 is a diagram showing the fitting result of the relationship between the number of cycles and the maximum stress amplitude in example 1 of the present invention.
FIG. 3 is a graph showing the fitting result of the relationship between the number of cycles and the plastic strain range in example 2 of the present invention.
Fig. 4 is a diagram showing the fitting result of the relationship between the number of cycles and the maximum stress amplitude in example 2 of the present invention.
Detailed Description
The invention is further illustrated by the following description and examples, including but not limited to the following examples, taken in conjunction with the accompanying drawings.
Example 1
Selecting a novel heat-resistant steel Sanicro 25 steel pipe as a base material. And butting the Sanicro 25 steel pipes by using manual argon tungsten-arc welding. A low cycle fatigue test with a total strain amplitude of 0.5% was performed at 700 c for the welded joint. The specific experimental procedures can be performed according to the descriptions in the documents "Low cycle failure diagnosis and microstructure analysis of a novel 9Cr-3W-3Co temporal mechanical at 650 ℃" (Jing H, luo Z, xu L, et al. Materials Science & Engineering A,2018,731.).
Then, according to the obtained experimental data, obtaining the plastic strain range delta epsilon under different cycle times N p The numerical value of (c). Then N and Δ ε are fitted using the above equation (5) p The results of the fitting are shown in fig. 1.
Thus, equation (5) can be determined as:
according to the experimental parameters, delta epsilon t =0.01 and E =126.8GPa. Will be the formula (S1), delta epsilon t And the value of E is substituted into equation (4) above, the maximum stress can be expressed as:
comparing the calculated value of the model with the actual value obtained by the experiment, as shown in fig. 2, the results show that: the calculated and true values are very close. For example, when the number of cycles is 235, the theoretical value of the maximum stress amplitude calculated according to the formula (S2) is 332.85MPa, the true value is 336.48MPa, and the calculation deviation is 1.07%.
Example 2
And selecting a 316H austenitic stainless steel welding joint as a verification object. Strain rate of 1 x 10 at 550 ℃ for welded joints -3 s -1 A low cycle fatigue test was conducted with a total strain amplitude of 0.5%. The specific experimental procedures are described in the literature "Low cycle failure floor and microstructure evaluation of novel 9Cr-3W-3Co temporal characterization at 650 ℃" (Jing H, luo Z, xu L, et al&Engineering A,2018,731).
Then, according to the obtained experimental data, obtaining the plastic strain range delta epsilon under different cycle times N p The numerical value of (c). Then N and Δ ε are fitted using the above equation (5) p The results of the fitting are shown in fig. 3.
Thus, equation (5) can be determined as:
according to the experimental parameters, delta epsilon t =0.01 and E =163.33GPa. Will be the formula (S3), delta epsilon t And the value of E is substituted into equation (4) above, the maximum stress can be expressed as:
comparing the calculated value of the model with the actual value obtained by the experiment, as shown in fig. 4, the results show that: the calculated and true values are very close. For example, when the number of cycles is 423, the theoretical value of the maximum stress amplitude calculated according to the formula (S4) is 337.67MPa, the true value is 341.13MPa, and the calculation deviation is 1.01%.
From the results of examples 1 and 2, it can be seen that the weld joints using heat resistant steels Sanicro 25 steel pipe and 316H austenitic stainless steel as base materials are verified to have very close model calculation values and actual values within a deviation range of 0.01% to 7%, while the weld joints using other common austenitic heat resistant steels (such as 316 and 316L) are verified to have a deviation of not more than 10% in a macroscopic verification. This demonstrates that the cyclic hardening model based on the weld dislocation entangled precipitation phase designed by the present invention is effective. Also, according to the model of the present invention, k can be calculated 1 And k 2 And then to explain the microscopic mechanism of fatigue failure based on the weld dislocation entangled precipitate phase. Therefore, the method can be well applied to the prediction of the fatigue life of the welding joint, and provides a theoretical basis for a prediction method.
The above-mentioned embodiments are only preferred embodiments of the present invention, and should not be used to limit the scope of the present invention, and any insubstantial modifications or changes made in the spirit and the spirit of the main design of the present invention, which still conform to the technical problems of the present invention, should be included in the scope of the present invention.
Claims (4)
1. The application of a cyclic hardening model based on a welding line dislocation winding precipitation phase in the fatigue life prediction of a welding joint is as follows:
wherein σ max Is the maximum stress; n is the number of times of replacement; e is the modulus of elasticity; delta epsilon t The total plastic strain range; alpha is Taylor hardening coefficient and is dimensionless; m is Taylor factor and is dimensionless; g is shear modulus, GPa, b is Bernoulli vector, nm; the region of the dislocation-entangled precipitate phase is defined as a hard region having a volume fraction f p (ii) a The other regions are soft regions with a volume fraction f m (ii) a ρ is the dislocation density, m -2 ；E p Elastic modulus for the precipitated phase, GPa;
is an efficiency factor for storing dislocations around the precipitation phase, dimensionless; epsilon in Is inelastic strain and dimensionless; a is the half distance between the precipitation phases, nm; r is the radius of the precipitation phase, nm; n is the number of slip systems, and is dimensionless; lambda [ alpha ] G Average distance between slip lines, nm; d is the weld grain size; delta epsilon p Is a plastic strain range, dimensionless, and has the following relationship:
in the formula, k 1 And k 2 Are parameters related to dislocation formation rate and annihilation rate, and have constant and dimensionless values; and N is the cycle number.
2. Use of a model of cyclic hardening based on threading dislocation phases precipitation according to claim 1 for fatigue life prediction of welded joints, characterized in that f p And f m Is obtained by microstructural photogrammetry, and
in the formula, σ het Flow stress caused by a non-uniform dislocation structure based on a weld dislocation entangled precipitate phase.
3. Use of a model of cyclic hardening based on threading dislocation threading precipitation phase in the prediction of fatigue life of welded joints according to claim 2, characterized in that the values of r and a are obtained by photogrammetry of the microstructure, and
in the formula, σ kin Back stress caused by the dislocation winding precipitation phase in the weld.
4. Use of a model of cyclic hardening based on threading precipitation phases of weld dislocations in the prediction of fatigue life of welded joints according to claim 3, wherein λ G And the value of D is obtained by photogrammetry of the microstructure, and
in the formula, σ G The back stress generated by the barrier effect of the weld grain boundary on dislocation. />
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110356761.0A CN113239479B (en) | 2021-04-01 | 2021-04-01 | Application of cyclic hardening model based on welding line dislocation winding precipitation phase in fatigue life prediction of welding joint |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110356761.0A CN113239479B (en) | 2021-04-01 | 2021-04-01 | Application of cyclic hardening model based on welding line dislocation winding precipitation phase in fatigue life prediction of welding joint |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113239479A CN113239479A (en) | 2021-08-10 |
| CN113239479B true CN113239479B (en) | 2023-04-07 |
Family
ID=77130888
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110356761.0A Active CN113239479B (en) | 2021-04-01 | 2021-04-01 | Application of cyclic hardening model based on welding line dislocation winding precipitation phase in fatigue life prediction of welding joint |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113239479B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116482139B (en) * | 2023-06-21 | 2023-09-19 | 宁德时代新能源科技股份有限公司 | Battery fatigue strength determination method, device, computer equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105740551A (en) * | 2016-02-02 | 2016-07-06 | 湖南大学 | Weld joint fatigue life prediction method |
| CN106354898A (en) * | 2016-06-28 | 2017-01-25 | 湖南工业大学 | Weld seam fatigue life calculation method based on total strain energy density |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102967512B (en) * | 2012-10-25 | 2014-10-15 | 中南大学 | Low cycle fatigue life prediction method based on asymmetrical cyclic stress control load |
| CN105372111B (en) * | 2015-12-21 | 2018-06-15 | 武汉科技大学 | A kind of cross welds joint fatigue test specimen |
| CN111062152B (en) * | 2018-10-17 | 2022-04-01 | 湖南工业大学 | Weld joint ultra-high cycle life prediction method considering residual stress based on dissipation energy |
| CN211523195U (en) * | 2019-12-28 | 2020-09-18 | 天津建城基业集团有限公司 | Mixed reinforced concrete member based on dislocation welding |
| CN111860993B (en) * | 2020-07-14 | 2024-02-27 | 中国石油大学(华东) | Weld joint fatigue life prediction method considering residual stress evolution |
-
2021
- 2021-04-01 CN CN202110356761.0A patent/CN113239479B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105740551A (en) * | 2016-02-02 | 2016-07-06 | 湖南大学 | Weld joint fatigue life prediction method |
| CN106354898A (en) * | 2016-06-28 | 2017-01-25 | 湖南工业大学 | Weld seam fatigue life calculation method based on total strain energy density |
Non-Patent Citations (2)
| Title |
|---|
| 王富康 等."基于结构应变法的焊接接头低周疲劳寿命预测".《石油管材与仪器》.2021,(第1期),51-55. * |
| 王生武 等."考虑焊缝的C70车体疲劳寿命有限元模型分析".《机械设计与制造工程》.2020,第49卷(第49卷),65-68. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113239479A (en) | 2021-08-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Deng et al. | FEM prediction of welding residual stresses in a SUS304 girth-welded pipe with emphasis on stress distribution near weld start/end location | |
| Carpinteri et al. | Stress intensity factors and fatigue growth of surface cracks in notched shells and round bars: two decades of research work | |
| Wan et al. | Weld residual stresses in a thick plate considering back chipping: Neutron diffraction, contour method and finite element simulation study | |
| Chiocca et al. | Influence of residual stresses on the fatigue life of welded joints. Numerical simulation and experimental tests | |
| Jiang et al. | Very-high-cycle fatigue behavior of a structural steel with and without induced surface defects | |
| CN113239479B (en) | Application of cyclic hardening model based on welding line dislocation winding precipitation phase in fatigue life prediction of welding joint | |
| Wohlfahrt et al. | Residual stress calculations and measurements—review and assessment of the IIW round robin results | |
| Cho et al. | FE analysis of residual stress relaxation in a girth-welded duplex stainless steel pipe under cyclic loading | |
| Sun et al. | Effects of heat source geometric parameters and arc efficiency on welding temperature field, residual stress, and distortion in thin-plate full-penetration welds | |
| Liu et al. | Effects of local ultrasonic impact treatment on residual stress in an engineering-scale stainless steel pipe girth weld | |
| Samadi et al. | An investigation on residual stress and fatigue life assessment of T-shape welded joints | |
| Zhang et al. | Cyclic plasticity modeling and fatigue life assessment of the recasting material of a nickel-based superalloy induced by laser manufacturing | |
| Acevedo et al. | Residual stress measurement techniques for Ti6Al4V parts fabricated using selective laser melting: State of the art review | |
| Ghorashi et al. | Effect of severe shot peening on the fatigue life of the laser-cladded Inconel 718 specimens | |
| CN113239477B (en) | Application of cyclic hardening model based on dislocation entanglement of weld joint in fatigue life prediction of welded joint | |
| Milenin | Numerical prediction of the current and limiting states of pipelines with detected flaws of corrosion wall thinning | |
| Cheng et al. | Geometric discontinuity effect on creep-fatigue behaviors in a nickel-based superalloy hole structure considering ratcheting deformation | |
| Zhang et al. | Comparison of Ni-Steel Dissimilar Joints for Coke Drum External Weld Repairs Based on Isothermal Low-Cycle Fatigue Tests | |
| Qian et al. | The effect of specimen dimension on residual stress relaxation of the weldments | |
| Crone et al. | The effect of sample flattening on yield strength measurement in line pipe | |
| Loose et al. | New 3D-calculations of residual stresses consistent with measured results of the IIW Round Robin Programme | |
| CN118010621B (en) | Method for calculating fatigue extension life of axial and radial crack based on outer wall of cylindrical longitudinal weld | |
| Jayakumar et al. | Residual stress analysis in austenitic stainless steel weldment by finite element method | |
| Park et al. | Fatigue strength assessment including welding residual stress of spot welded joints subjected to cross-tension loads | |
| Häberle et al. | Application of multi-phase viscoplastic material modelling to computational welding mechanics of grade-s960ql steel |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |