CN110006747A - A kind of titanium alloy fatigue crack growth rate prediction technique - Google Patents

A kind of titanium alloy fatigue crack growth rate prediction technique Download PDF

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Publication number
CN110006747A
CN110006747A CN201910110176.5A CN201910110176A CN110006747A CN 110006747 A CN110006747 A CN 110006747A CN 201910110176 A CN201910110176 A CN 201910110176A CN 110006747 A CN110006747 A CN 110006747A
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titanium alloy
growth rate
crack growth
fatigue crack
rate prediction
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吉楠
冯娜
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China Petroleum and Natural Gas Co Ltd
CNPC Tubular Goods Research Institute
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China Petroleum and Natural Gas Co Ltd
CNPC Tubular Goods Research Institute
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/006Crack, flaws, fracture or rupture
    • G01N2203/0062Crack or flaws
    • G01N2203/0066Propagation of crack
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/0069Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0073Fatigue

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
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  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
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  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention discloses a kind of titanium alloy fatigue crack growth rate prediction techniques, by determining model Elastic Modulus, tensile strength, yield strength, the contraction percentage of area and plane strain fracture toughness to titanium alloy progress tension test and fracture toughness test, then it determines to proof stress than relevant parameter, establishes titanium alloy fatigue crack growth rate prediction model;Utilize prediction model predicted titanium alloy fatigue crack growth rate.Prediction technique of the present invention, which is realized, to be predicted based on tension test and fracture toughness test result come Crack Propagation Rate, to solve the problems, such as that period in the presence of traditional crack growth rate test measurement is long, providing a solution costly, influence factor more, and works for the selection of titanium alloy engineer application and a kind of modeling tool of qualitative analysis is provided.

Description

A kind of titanium alloy fatigue crack growth rate prediction technique
Technical field
The invention belongs to the structures of titanium alloy and performance technologies field, and in particular to a kind of titanium alloy crack Propagation speed Rate prediction technique.
Background technique
Titanium or titanium alloy has the characteristics that the weldability that intensity is high, density is small, corrosion-resistant and excellent, thus navigates in aviation It, the fields such as health care, automobile, ship, the energy have increasingly extensive application prospect, with aerospace vehicle high speed and Enlargement, such as the manufacture of the load frame of aircraft, beam, landing gear components and fastener require titanium alloy to have high temperature, Gao Qiangren And damage tolerance performance.Requirement to titanium alloy performance changes with the design concept of aircraft designers and is changed.Aerospace component By ancient simple Static Strength Design conceptual change to safety-Life Design concept, breakage-safety design concept, Zhi Daoxian The damage tolerance design criterion in generation.To guarantee that projected life and damage tolerance, the material of aircraft structure must have good Fracture toughness and resistance to crack extension performance.As the structural material of space shuttle key, titanium alloy also gradually to high-fracture toughness, The high-damage tolerance type direction of low crack growth rate is developed.
The principal mode of structure or component failure is fatigue failure, therefore, to fatigue of materials crack propagation macroscopic law Research has very big engineering value, not only accurately can predict and estimate the fatigue life of component, avoids losing due to fatigue Effect and caused by heavy losses, foundation can be provided with optimization processing technology and for selection.The crack Propagation of material is divided into Three phases, the germinating of crackle, crack propagation and final fracture, fatigue of materials crack propagation da/dN~Δ K curve is to material Carry out the important evidence of fatigue life prediction and damage tolerance performance research, and crack Propagation grinding by decades Study carefully, to da/dN~Δ K curve progress quantitatively characterizing formula there are many kind, is respectively suitable for each of crack Propagation Commonly mainly there are Paris formula, Forman formula and Zheng-Hirt formula etc. in stage, these formula are all only limitted to fatigue The moment of crack propagation, and the measurement period of fatigue of materials crack spreading zone is long, at high cost, especially fatigue crack Threshold value must measure an even more very long laborious process, so, in order to reduce experimentation cost, facilitate that engineers and technicians' is fast Speed uses, and urgent need establishes one kind can be with the model of predicted titanium alloy fatigue crack growth rate.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that it is tired to provide a kind of titanium alloy Labor crack growth rate prediction technique carries out quantitatively characterizing to the Fatigue Cracks Propagation of titanium alloy.
The invention adopts the following technical scheme:
A kind of titanium alloy fatigue crack growth rate prediction technique, which is characterized in that by carrying out stretching examination to titanium alloy It tests and determines model Elastic Modulus, tensile strength, yield strength, the contraction percentage of area and plane strain fracture with fracture toughness test Then toughness determines to proof stress than relevant parameter, establishes titanium alloy fatigue crack growth rate prediction model;Using pre- Survey model prediction titanium alloy fatigue crack growth rate.
Specifically, titanium alloy fatigue crack growth rate prediction model is as follows:
Wherein, a is crack length, and D is material constant relevant to stress ratio, and E is elasticity modulus, σbFor tensile strength, σ0.2For yield strength, A is fracture ductility, and Z is the contraction percentage of area, KCFor plane strain fracture toughness, R is stress ratio.
Further, elastic modulus E specifically: tensile test at room temperature is carried out to material, according to stress strain curve stretch section Slope determines elastic modulus E.
Further, tensile strength sigmabSpecifically: tensile test at room temperature is carried out to material, maximum when being broken according to material Stress determines tensile strength sigmab
Further, yield strength σ0.2Specifically: tensile test at room temperature is carried out to material, is taken on stress strain curve 0.2% residual Stress value when remaining deformation determines yield strength σ0.2
Further, contraction percentage of area Z specifically: the diameter of bar samples is measured before tension test, calculator is transversal Area measures the diameter of fracture position, calculates post-rift cross-sectional area after fracture, before post-rift cross-sectional area and fracture Cross-sectional area is compared, and the contraction percentage of area Z of sample is obtained.
Further, plane strain fracture toughness KCSpecifically: CT sample is used, fracture toughness test is carried out and determines that face is answered Become fracture toughness KC
Further, material constant D relevant to stress ratio specifically:
When being oriented to L-T, when stress ratio is 0.1, constant D is 2.481;When stress ratio is 0.5, constant D is 3.858;
When being oriented to T-L, when stress ratio is 0.1, constant D is 4.367;When stress ratio is 0.5, constant D is 4.899;.
Further, when R=0, threshold in fatigue crack propagation Δ KthoIt estimates as follows:
Wherein, σysFor the yield strength of material, α is material constant, for metal material, α=0.05~0.1;μ is Poisson Than σ-1For fatigue limit;
When R ≠ 0, threshold value Δ KthIt calculates as follows:
Specifically, titanium alloy is alpha+beta series titanium alloy.
Compared with prior art, the present invention at least has the advantages that
A kind of titanium alloy fatigue crack growth rate prediction technique of the present invention, can be based on simple tension test and fracture Toughness test is carried out Crack Propagation Rate and is predicted, testing expenses are reduced, and saves the time.
Further, setting titanium alloy fatigue crack growth rate prediction model can be in a short time more accurately to titanium The fatigue crack growth rate of alloy provides qualitative description, provides foundation for selection.
Further, constant relevant to stress ratio is set by D in a model, simplifies model, enriched related ginseng The physical significance of amount.
Crackle is expanded in conclusion prediction technique of the present invention is realized based on tension test and fracture toughness test result Exhibition rate predicted, to solve, period in the presence of traditional crack growth rate test measurement is long, costly, influence factor More problems provides a solution, and provides a kind of model of qualitative analysis for the selection of titanium alloy engineer application work Tool.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Fig. 1 is a kind of prediction model figure;
Fig. 2 is the corresponding test data figure of the first prediction model;
Fig. 3 is second of prediction model figure;
Fig. 4 is the corresponding test data figure of second of prediction model.
Specific embodiment
A kind of titanium alloy fatigue crack growth rate prediction technique of the present invention, by carrying out tension test to titanium alloy and breaking It splits toughness test and determines model Elastic Modulus, tensile strength, yield strength, the contraction percentage of area and plane strain fracture toughness, It determines to proof stress than relevant parameter, establishes titanium alloy fatigue crack growth rate prediction model;Using prediction model to α The prediction of+β series titanium alloy fatigue crack growth rate.
Titanium alloy fatigue crack growth rate prediction model is as follows:
Wherein, D is material constant relevant to stress ratio, and being shown in Table 1, E is elasticity modulus, σbFor tensile strength, σ0.2It is in the wrong Intensity is taken, A is fracture ductility, and Z is the contraction percentage of area, KCFor plane strain fracture toughness.
The occurrence of 1 parameter D of table
Fracture toughness test according to ASTM E399 " metal material linear elasticity plane strain fracture toughness test method " into Row, tension test are carried out according to 228 metal material tensile testing at ambient temperature of GB/T.
It is suitable for steel material and aluminum alloy materials gamut fatigue crack growth rate according to what pertinent literature proposed Characterization model:
Wherein, KICFor material fracture toughness, KmaxFor material crack extension stress intensity factor maximum value, Δ K is that stress is strong Spend the factor, Δ KthFor crack growth threshold,For material crack spreading rate, a is crack length, and F is that crackle enters fastly (K when fast expansion areamax/KC) value show F=in the fatigue crack propagation test of a large amount of steel alloys and aluminium alloy 0.45, but do not there is a large amount of experimental study to show that F is since the crack propagation research work development time is shorter in titanium alloy No is a determining amount, then using F as a variable.
After deforming to formula 1, as shown in formula 2, D is unknown quantity relevant to F in formula.
It is characterized to the fatigue crack growth rate of the gamut to material, threshold value Δ KthIt is one essential Amount, E and K in formula 2, in parameterICIt can be measured by simply testing, and threshold value Δ KthTest be one very Complicated process, needs to expend a large amount of human and material resources and financial resources, therefore, estimates gamut crack growth rate, main If the estimation of threshold value, thus select a suitable model come On Crack Propagation threshold value estimate it is particularly significant.
As R ≠ 0:
In formula, Δ KthoThreshold in fatigue crack propagation when for R=0, can be estimated by following formula:
Wherein, σysFor the yield strength of material, α is material constant, for metal material, α=0.05~0.1;μ is Poisson Than σ-1It for fatigue limit, can be obtained by following formula, in conjunction with formula 2-4, titanium alloy gamut fatigue crack growth rate can be obtained:
Wherein, D is material constant relevant to stress ratio, and E is elasticity modulus, σbFor tensile strength, σ0.2It is strong to surrender Degree, A is fracture ductility, and Z is the contraction percentage of area, KCFor plane strain fracture toughness, R is stress ratio, and minimum stress is answered with maximum The ratio of power.
Wherein, tensile test at room temperature is carried out to material, elastic modulus E is determined according to the slope of stress strain curve stretch section.It is right Material carries out tensile test at room temperature, and maximum stress when being broken according to material determines tensile strength sigmab.Room temperature drawing is carried out to material Test is stretched, stress value when 0.2% residual deformation on stress strain curve is taken to determine yield strength σ0.2.The measuring stick before tension test The diameter of shape sample, calculator cross-sectional area measure the diameter of fracture position, calculate post-rift cross-sectional area after fracture, break Cross-sectional area after splitting obtains the contraction percentage of area Z of sample compared with the cross-sectional area before fracture.Using CT sample, break It splits toughness test and determines face strain fracture toughness KC
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.The present invention being described and shown in usually here in attached drawing is real The component for applying example can be arranged and be designed by a variety of different configurations.Therefore, below to the present invention provided in the accompanying drawings The detailed description of embodiment be not intended to limit the range of claimed invention, but be merely representative of of the invention selected Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are obtained without creative efforts The every other embodiment obtained, shall fall within the protection scope of the present invention.
Embodiment
Certain titanium alloy forging blank is taken, feeding respectively is orientated by T-L and L-T and is processed into pole tensile sample and CT sample;
Tension test and fracture toughness test are carried out according to ASTM A370 standard and ASTM E399 standard on testing machine, The numerical value of relevant parameter in model is obtained, as shown in table 2:
2 titanium alloy room-temperature mechanical property of table
The numerical value of table 2 is brought into prediction model, then has obtained the titanium alloy fatigue crack in T-L and L-T orientation Da/dN~Δ K expression in spreading rate prediction model;
The gamut Fatigue Crack Propagation Curve that the model can be drawn to titanium alloy in a coordinate system by software, such as schemes Shown in 1 curve into Fig. 4.The fatigue crack growth rate of the titanium alloy can be predicted by the curve;
In order to verify the accuracy of the model, the CT of titanium alloy forging blank processing fatigue crack growth rate is reused Sample carries out the measurement test of the fatigue crack growth rate curve of titanium alloy, a system has been obtained after Correlation method for data processing The expansion curve that test data point and prediction model are drawn is placed in the same coordinate system by the data point of the crack Propagation of column In, as shown in Figure 1, as can be seen from the figure data point and curve coincide very much, and to nearly Threshold Region, stablize expansion area and quickly Expansion area suffers from good description, titanium alloy can be predicted well in fatigue crack growth rate.
The above content is merely illustrative of the invention's technical idea, and this does not limit the scope of protection of the present invention, all to press According to technical idea proposed by the present invention, any changes made on the basis of the technical scheme each falls within claims of the present invention Protection scope within.

Claims (10)

1. a kind of titanium alloy fatigue crack growth rate prediction technique, which is characterized in that by carrying out tension test to titanium alloy Determine that model Elastic Modulus, tensile strength, yield strength, the contraction percentage of area and plane strain fracture are tough with fracture toughness test Property, it then determines to proof stress than relevant parameter, establishes titanium alloy fatigue crack growth rate prediction model;Utilize prediction Model prediction titanium alloy fatigue crack growth rate.
2. titanium alloy fatigue crack growth rate prediction technique according to claim 1, which is characterized in that titanium alloy fatigue Crack growth rate prediction model is as follows:
Wherein, D is material constant relevant to stress ratio, and E is elasticity modulus, σbFor tensile strength, σ0.2For yield strength, A is Fracture ductility, Z are the contraction percentage of area, KCFor plane strain fracture toughness, R is stress ratio.
3. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that elastic modulus E Specifically: tensile test at room temperature is carried out to material, elastic modulus E is determined according to the slope of stress strain curve stretch section.
4. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that tensile strength sigmab Specifically: tensile test at room temperature is carried out to material, maximum stress when being broken according to material determines tensile strength sigmab
5. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that yield strength σ0.2Specifically: tensile test at room temperature is carried out to material, stress value when 0.2% residual deformation on stress strain curve is taken to determine surrender Intensity σ0.2
6. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that the contraction percentage of area Z specifically: the diameter of bar samples is measured before tension test, calculator cross-sectional area measures the straight of fracture position after fracture Diameter calculates post-rift cross-sectional area, and post-rift cross-sectional area obtains the section of sample compared with the cross-sectional area before fracture Shrinking percentage Z.
7. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that plane strain is disconnected Split toughness KCSpecifically: CT sample is used, fracture toughness test is carried out and determines face strain fracture toughness KC
8. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that with stress ratio phase The material constant D of pass specifically:
When being oriented to L-T, when stress ratio is 0.1, constant D is 2.481;When stress ratio is 0.5, constant D is 3.858;
When being oriented to T-L, when stress ratio is 0.1, constant D is 4.367;When stress ratio is 0.5, constant D is 4.899;.
9. titanium alloy fatigue crack growth rate prediction technique according to claim 2, which is characterized in that tired when R=0 Labor crack growth threshold Δ KthoIt estimates as follows:
Wherein, σysFor the yield strength of material, α is material constant, for metal material, α=0.05~0.1;μ is Poisson's ratio, σ-1For fatigue limit;
When R ≠ 0, threshold value Δ KthIt calculates as follows:
10. titanium alloy fatigue crack growth rate prediction technique according to claim 1, which is characterized in that titanium alloy α + β series titanium alloy.
CN201910110176.5A 2019-02-11 2019-02-11 A kind of titanium alloy fatigue crack growth rate prediction technique Pending CN110006747A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110411833A (en) * 2019-08-12 2019-11-05 武汉钢铁有限公司 Different frequency crack growth rate prediction technique under a kind of corrosive environment of sea water
CN110849753A (en) * 2019-12-09 2020-02-28 大连理工大学 Metal material fatigue strength prediction method based on micro scratches
CN111855446A (en) * 2020-07-14 2020-10-30 天津钢管制造有限公司 Prediction method of fatigue limit of titanium alloy
CN113033010A (en) * 2021-03-30 2021-06-25 中国工程物理研究院研究生院 Crack propagation rate model for small cracks and method for performing crack propagation rate modeling on titanium alloy material
CN114279842A (en) * 2021-12-27 2022-04-05 中国科学院武汉岩土力学研究所 Method and system for determining rock crack initiation stress and damage stress
CN114974472A (en) * 2022-05-16 2022-08-30 江苏省特种设备安全监督检验研究院 TA2 industrial pure titanium welding joint mechanical property prediction method based on pre-stretching amount

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001088502A2 (en) * 2000-05-15 2001-11-22 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V. Method and device for determining at least one mechanical fracturing material parameter
CN102778404A (en) * 2012-06-19 2012-11-14 中国人民解放军空军工程大学 Metal structure fatigue crack propagation life prediction method based on material R curve
CN103308381A (en) * 2013-06-07 2013-09-18 合肥通用机械研究院 Fatigue crack propagation rate normalization prediction method
CN103760007A (en) * 2014-01-16 2014-04-30 清华大学 Method for predicting fatigue crack expanding threshold value under different stress ratios
CN105488328A (en) * 2015-11-19 2016-04-13 北京航空航天大学 Fatigue crack growth rate prediction method based on artificial neuron network

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001088502A2 (en) * 2000-05-15 2001-11-22 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V. Method and device for determining at least one mechanical fracturing material parameter
CN102778404A (en) * 2012-06-19 2012-11-14 中国人民解放军空军工程大学 Metal structure fatigue crack propagation life prediction method based on material R curve
CN103308381A (en) * 2013-06-07 2013-09-18 合肥通用机械研究院 Fatigue crack propagation rate normalization prediction method
CN103760007A (en) * 2014-01-16 2014-04-30 清华大学 Method for predicting fatigue crack expanding threshold value under different stress ratios
CN105488328A (en) * 2015-11-19 2016-04-13 北京航空航天大学 Fatigue crack growth rate prediction method based on artificial neuron network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吉楠 等: "TC11钛合金全范围疲劳裂纹扩展速率表征", 《理化检验-物理分册》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110411833A (en) * 2019-08-12 2019-11-05 武汉钢铁有限公司 Different frequency crack growth rate prediction technique under a kind of corrosive environment of sea water
CN110411833B (en) * 2019-08-12 2021-09-14 武汉钢铁有限公司 Method for predicting crack propagation rates of different frequencies in seawater corrosion environment
CN110849753A (en) * 2019-12-09 2020-02-28 大连理工大学 Metal material fatigue strength prediction method based on micro scratches
CN110849753B (en) * 2019-12-09 2020-09-29 大连理工大学 Metal material fatigue strength prediction method based on micro scratches
CN111855446A (en) * 2020-07-14 2020-10-30 天津钢管制造有限公司 Prediction method of fatigue limit of titanium alloy
CN111855446B (en) * 2020-07-14 2023-07-04 天津钢管制造有限公司 Method for predicting fatigue limit of titanium alloy
CN113033010A (en) * 2021-03-30 2021-06-25 中国工程物理研究院研究生院 Crack propagation rate model for small cracks and method for performing crack propagation rate modeling on titanium alloy material
CN113033010B (en) * 2021-03-30 2022-07-01 中国工程物理研究院研究生院 Crack propagation rate model for small cracks and method for performing crack propagation rate modeling on titanium alloy material
CN114279842A (en) * 2021-12-27 2022-04-05 中国科学院武汉岩土力学研究所 Method and system for determining rock crack initiation stress and damage stress
CN114279842B (en) * 2021-12-27 2023-07-14 中国科学院武汉岩土力学研究所 Method and system for determining cracking stress and damage stress of rock cracks
CN114974472A (en) * 2022-05-16 2022-08-30 江苏省特种设备安全监督检验研究院 TA2 industrial pure titanium welding joint mechanical property prediction method based on pre-stretching amount

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