CN109342310A - A kind of rubber seal products life-span prediction method based on Aging Damage - Google Patents

A kind of rubber seal products life-span prediction method based on Aging Damage Download PDF

Info

Publication number
CN109342310A
CN109342310A CN201811577351.3A CN201811577351A CN109342310A CN 109342310 A CN109342310 A CN 109342310A CN 201811577351 A CN201811577351 A CN 201811577351A CN 109342310 A CN109342310 A CN 109342310A
Authority
CN
China
Prior art keywords
temperature
life
compression set
damage
prediction
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.)
Granted
Application number
CN201811577351.3A
Other languages
Chinese (zh)
Other versions
CN109342310B (en
Inventor
孙岩
冯典英
李晖
王荣华
庞明磊
郑会保
王登霞
李倩倩
谢可勇
王新波
刘亚平
崔俞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Non Metallic Material Research Institute
Original Assignee
Shandong Non Metallic Material Research Institute
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shandong Non Metallic Material Research Institute filed Critical Shandong Non Metallic Material Research Institute
Publication of CN109342310A publication Critical patent/CN109342310A/en
Application granted granted Critical
Publication of CN109342310B publication Critical patent/CN109342310B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N17/00Investigating resistance of materials to the weather, to corrosion, or to light

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Environmental Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
  • Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)

Abstract

The invention belongs to forecasting technique in life span fields.Basic Damage Parameter weight is distributed according to the size of multi-temperature point laboratory environment grey relational grade, constructs aging damage factor Af, establish Af- T-t model realizes the life prediction to target sample.The laboratory lifetimes prediction technique of rubber product of the present invention, using compression set as benchmark parameter, with room temperature~sample to be tested highest test temperature TmaxBasic Damage Parameter is calculated to the grey relational grade g of compression set using compression set 15%~30% as test load for test temperature sectioni, obtain the damage factor A of sample to be testedf, by (1-Af) it is used as life appraisal characteristic index, obtain AfThe ageing time τ of identical test temperature is substituted into respectively and is obtained expected storage temperature life value by the ternary model of-T- τ.Rubber seal products life-span prediction method of the present invention, precision of prediction is higher, wide temperature range.Life prediction suitable for rubber seal products.

Description

A kind of rubber seal products life-span prediction method based on Aging Damage
Technical field
The invention belongs to service life of equipment to predict field, be related to laboratory lifetimes Predicting Technique, in particular to rubber product Laboratory lifetimes Predicting Technique.
Background technique
Sealing material and product life Predicting Technique are related to material science, material aging, structure design, structural mechanics, material Material test science, computer simulation, data processing technique etc. determine that the method in rubber product service life has following three both at home and abroad at present Kind:
One is what is recommended according to ISO to provide service life, this method according to raw rubber heat-resistant aging divided rank and accordingly More influences for considering raw rubber to rubber product, have ignored the influence of the compounding agents such as vulcanizing agent, anti-aging agent.
Second method is the accelerated aging test predicted method based on reaction mechanism theory and molecular structural parameter, directly handle Computer carries out accelerated aging test as simulation ageing oven, and this method must be set up abundant to ageing of rubber reaction mechanism Solution and to molecular structural parameter it is complete grasp on the basis of, at present because objective condition limit, development it is more slow.
The third method is that the laboratory based on Aging kinetics quickly measures, when principle is according to thermo-oxidative ageing Performance variation law, using the accelerated aging test under different temperatures as a result, along temperature extrapolation calculating storage or at use temperature Service life, carry out life prediction with the quick method for measuring in laboratory, it is old at room temperature at a temperature of accelerated ageing when premise Changing mechanism must be identical.
Mathematical model method therein is by using P=f (t) kinetics equation, by aging speed constant k and Arrhenius Equation combines, and obtains the expression formula of P=f (T, t), overcomes linear relationship method test period length, variable converts into method and calculates It can not the not high disadvantage of sequencing, accuracy.
Sealing article is in ageing process, and changes will occur for numerous characterisitic parameters, and existing hardness, stretches by force elongation A series of variation of mechanical index such as degree, elongation at break;Have again and becomes under compression as chemistry occurs for the extension of time Change (such as chain rupture, new cross-bond generates), generates permanent compression set and become smaller with stress and deform the compression being but basically unchanged Stress relaxation phenomenon, traditional sealing article life prediction is using compression set as life appraisal characteristic index, Bu Nengquan Face objectively carries out overall merit to the factor for influencing aging, and accuracy is not high.
Summary of the invention
The purpose of the present invention is to provide a kind of life-span prediction methods of rubber seal products.
The object of the present invention is achieved like this, determines reasonable temperature range and sampling period for specific sample, into The test of row multi-temperature point laboratory environment;Grey relational grade analysis is carried out to test data, according to the size of the degree of association to basic Damage Parameter carries out weight distribution, constructs aging damage factor Af, establish Af- T-t model, and reliability is examined, extrapolation is taken Labour phase index AfValue realizes the life prediction to target sample.
The laboratory lifetimes prediction technique of rubber product of the present invention, using compression set as benchmark parameter, packet Include testing program formulation and preparation of samples, laboratory environment test, aging damage factor building, damage modeling, life prediction Journey, it is characterised in that:
Solution formulation and preparation of samples: with room temperature~sample to be tested highest test temperature TmaxFor test temperature section, Cloth test temperature point is taken using compression set 15%~30% as test load according to the principle formulation of " preceding close rear thin " The sample period simultaneously determines sample size;
Aging damage factor building: basic Damage Parameter is calculated separately to the grey relational grade g of compression seti, generation Enter formula (1) and obtain the damage factor of sample to be tested:
Af=c+ (1-gi)η+(1-gi)ρ (1)
In formula: gi--- grey relational grade, i=1,2 ... n, n are the basic in addition to compression set of participation calculating Damage Parameter quantity
C --- compression set change rate;
η --- compression stress relaxation change rate;
ρ --- rate of change of the density;
Damage modeling: by aging damage factor retention rate (1-Af) it is used as life appraisal characteristic index, obtain AfThe three of-T- τ Meta-model is shown in formula (2):
1-Af=Ae-Kτ (2)
In formula: Af- aging damage factor;
τ-ageing time, d;
K-performance change constant related with temperature;
A-constant;
Life prediction: the ageing time τ of identical test temperature is substituted into formula (2) respectively, expected storage temperature is calculated Life value.
The laboratory lifetimes prediction technique of rubber product of the present invention, using compression set as benchmark parameter, packet Testing program formulation and preparation of samples, laboratory environment test, aging damage factor building are included, model, life prediction are established Journey, it is characterised in that: test temperature point interval is between 10~30 DEG C.
The laboratory lifetimes prediction technique of rubber product of the present invention, using compression set as benchmark parameter, packet Testing program formulation and preparation of samples, laboratory environment test, aging damage factor building are included, model, life prediction are established Journey, it is characterised in that: starting test temperature is TmaxIt is 50~100 DEG C lower.
The laboratory lifetimes prediction technique of rubber product of the present invention, using compression set as benchmark parameter, packet Testing program formulation and preparation of samples, laboratory environment test, aging damage factor building are included, model, life prediction are established Journey, it is characterised in that: basic Damage Parameter is including at least two parameters in compression set, compression stress relaxation, density.
Rubber seal products life-span prediction method of the present invention, prediction index include compression set, compress and answer The influence of the basic Damage Parameter variation such as power relaxation, density, the performance change situation in concentrated expression product ageing process, prediction Precision is higher, and predicted temperature range is wide, has biggish meaning to the life prediction of rubber seal products.Suitable for rubber seal The life prediction of product, the life prediction especially suitable for rubber o-ring class static seal product.
Specific embodiment
Technical solution according to the present invention is described in detail combined with specific embodiments below, but not as to this hair It is bright to be related to the limitation of technical solution.It is any based on the present invention relates to the evaluation methods of Technical Design to constitute of the invention one Part.
Embodiment one
WithIllustrate embodiments process for type fluorine silicone rubber O-ring.
The highest test temperature T of the fluorine silicone rubber is obtained with thermogravimetrymaxIt is 200 DEG C, with 120 DEG C, 150 DEG C, 180 DEG C of works For air oven aging test temperature, air oven aging test, sampling period difference are carried out using compression ratio 25% as load-up condition For 0d, 2d, 4d, 6d, 10d, 16d, 20d, 25d, 30d, 45d, 55d.
Test specimen is 15Type fluorine silicone rubber O-ring.
Status adjustment is carried out by GB/T 2941-2006 method, GB/T 3512-2014 carries out hot-air accelerated ageing;It presses Carry out the measurement of compression stress relaxation and compression set respectively according to GB/T 1685-2008 and GB/T 7759.1-2015.Examination It tests data and is shown in Table 1.
1 fluorine silicone rubber O-ring air oven aging test result table of table
To data in table 1, by grey relational grade calculation process, 120 DEG C, 150 DEG C, 180 DEG C of compression stress are calculated separately The degree of association g of lax pair compression seti, calculated result is as shown in table 2.
The 2 fluorine silicone rubber O-ring air oven aging test data gray degree of association of table
Buckling-relaxation 120℃ 150℃ 180℃
gi 0.48 0.45 0.69
1-gi 0.52 0.55 0.31
Using buckling as benchmark parameter, by (1-gi) compression stress relaxation assignment coefficient is used as to respectively obtain 120 by formula (1) DEG C, 150 DEG C, 180 DEG C of aging damage factor AfValue:
120 DEG C: Af=c+0.52 η (3)
150 DEG C: Af=c+0.55 η (4)
180 DEG C: Af=c+0.31 η (5)
1 test data of table is substituted into formula (3)~formula (5), obtains the aging damage factor A under different temperature pointsfValue is shown in Table 3 It is shown.
Fluorine silicone rubber O-ring life appraisal characteristic index A under 3 different temperature points of tablefIt is worth table
Time (d) 120℃ 150℃ 180℃
0 0.00 0.00 0.00
2 11.68 18.96 21.91
4 14.54 20.96 27.42
6 15.96 24.15 28.43
10 19.11 32.29 39.03
16 22.10 35.53 47.96
20 23.79 36.16 48.93
25 26.38 40.21 52.33
30 27.98 44.31 53.51
45 33.08 46.31 55.51
55 32.94 50.31 56.84
By life prediction process in GJB 92.2-86, to the A of table 3fData carry out regression analysis, obtain under the conditions of 25 DEG C The life prediction equation of fluorine silicone rubber are as follows:
It brings τ=5 × 365 and τ=10 × 365 into above formula, the A of 5 years and 10 years is calculatedfRespectively 0.61 He 0.82。
5 years A of dismounting measurement result of identical service conditionfIt is 0.51,0.57,0.58, the error model with calculated value 0.61 Enclose is 5%~19%;The A of 10afIt is 0.64,0.75,0.80, the error range with calculated value 0.82 is 3%~28%.
Embodiment two
WithIllustrate that embodiments process is as follows for type silicon rubber O-ring.
The highest test temperature T of the silicon rubber is obtained with thermogravimetrymaxIt is 200 DEG C, with 100 DEG C, 125 DEG C, 150 DEG C, 175 DEG C be used as air oven aging test temperature, using compression ratio 25% as load-up condition progress air oven aging test, the sampling period Respectively 0d, 2d, 4d, 6d, 10d, 16d, 20d, 25d, 30d, 45d, 55d.
Test specimen is 20Type silicon rubber O-ring.
Laboratory environment test and aging damage factor construction method are the same as embodiment 1 (original test data summary), silicon rubber O A under shape circle different temperature pointsfValue is shown in Table 4.
Silicon rubber O-ring life appraisal characteristic index A under 4 different temperature points of tablefIt is worth table
Time (d) 100℃ 125℃ 150℃ 175℃
0 0.00 0.00 0.00 0.00
2 5.14 7.58 9.64 22.11
4 6.30 8.82 13.68 25.06
6 4.71 10.57 12.93 26.64
10 8.46 12.25 20.19 34.34
16 10.45 13.31 23.65 39.72
20 11.84 13.64 24.02 41.20
25 13.33 14.87 26.24 45.28
30 12.68 15.93 29.22 46.77
45 11.71 15.95 30.45 49.38
55 13.89 19.65 34.69 51.41
Life prediction equation is constructed with four temperature spots, two parameters, construction method is the same as silicon under the conditions of 1,25 DEG C of embodiment The life prediction equation of rubber are as follows:
It brings τ=5 × 365 and τ=10 × 365 into above formula, the A of 5 years and 10 years is calculatedfRespectively 0.33 He 0.49。
5 years A of dismounting measurement result of identical service conditionfIt is 0.35,0.36,0.38, the error model with calculated value 0.33 Enclose is 6%~13%;The A of 10afIt is 0.40,0.45,0.48, the error range with calculated value 0.49 is 9%~23%.
Embodiment three
WithIllustrate that embodiments process is as follows for type fluororubber O shape circle.
The highest test temperature T of the fluorubber is obtained with thermogravimetrymaxIt is 200 DEG C, with 100 DEG C, 125 DEG C, 150 DEG C, 175 DEG C be used as air oven aging test temperature, using 15%, 20%, 25%, 30% 4 kind of compression ratio as load-up condition carry out heat sky Gas degradation, the sampling period be respectively 0d, 1d, 3d, 7d, 10d, 15d, 20d, 25d, 30d, 35d, 40d, 60d, 75d, 90d, 110d。
It see the table below shown in 5 according to the sampling period after the principle combination of " cryogenic high pressure contracting, high-temperature low-pressure contracting ".
5 fluorubber accelerated life test of table samples table
Test specimen is 40Type fluororubber O shape circle.
Laboratory environment test calculates under different temperatures and contractive condition compression stress relaxation, density to pressure with embodiment 1 The degree of association g of compression permanent deformationi, calculated result is as shown in table 6.
The 6 fluororubber O shape circle air oven aging test data gray degree of association of table
Calculation method is the same as the A in embodiment 1, under fluororubber O shape circle different temperature pointsfValue is shown in Table 7
A under each temperature spot of table 7fTables of data
Life prediction equation is constructed with four temperature spots, three parameters, construction method is as in the first embodiment, under each temperature spot Life prediction equation is shown in Table 8.
100 DEG C: Af=e(5.1803-0.000875τ)
125 DEG C: Af=e(5.0945-0.001731τ)
150 DEG C: Af=e(5.1068-0.003157τ)
175 DEG C: Af=e(4.9372-0.005386τ)
Model accuracy verification result under different temperature points is shown in Table 8.
Model accuracy table under each temperature spot of table 8
Temperature 100℃ 125℃ 150℃ 175℃
Error range 6%~14% 6%~11% 5%~7% 10%~11%
Example IV
WithIllustrate that embodiments process is as follows for type EP rubbers O-ring.
The highest test temperature T of the EP rubbers is obtained with thermogravimetrymaxIt is 130 DEG C, with 80 DEG C, 90 DEG C, 100 DEG C, 110 DEG C be used as air oven aging test temperature, using 15%, 20%, 25%, 30% 4 kind of compression ratio as load-up condition carry out heat sky Gas degradation, sampling period are respectively 0d, 1d, 3d, 7d, 10d, 15d, 20d, 25d, 30d, 35d, 40d, 60d, 75d, 90d.
It see the table below shown in 9 according to the sampling period after the principle combination of " cryogenic high pressure contracting, high-temperature low-pressure contracting ".
9 EP rubbers accelerated life test of table samples table
Test specimen is 40Type EP rubbers O-ring.
Laboratory environment test and aging damage factor construction method are the same as embodiment 1, EP rubbers O-ring different temperature points Under AfValue is shown in Table 10.
A under each temperature spot of table 10fTables of data
Time 80℃ 90℃ 100℃ 110℃
0 194.74 177.00 179.59 176.88
1 171.24 166.09 168.10 151.59
3 164.26 170.20 162.29 149.07
7 164.01 161.93 156.76 157.38
10 163.51 153.53 151.45 126.15
15 166.96 148.78 143.14 114.74
20 160.96 161.43 143.31 112.56
25 145.74 129.88 142.05 104.14
30 155.46 148.92 135.23 98.94
35 152.29 143.51 137.54 98.93
40 146.77 141.22 136.24 96.10
60 146.03 140.02 126.72 83.34
75 134.78 129.03 119.34 73.15
90 131.73 131.20 121.37 69.25
Life prediction equations are constructed with four temperature spots, three parameters, and construction method is with embodiment 1, under each temperature spot Life prediction equation are as follows:
80 DEG C: Af=e(5.1583-0.002412τ)
90 DEG C: Af=e(5.1088-0.003564τ)
100 DEG C: Af=e(5.0991-0.005029τ)
110 DEG C: Af=e(5.0318-0.006828τ)
Model accuracy verification result under different temperature points is shown in Table 11.
Model accuracy table under each temperature spot of table 11
Temperature 80℃ 90℃ 100℃ 110℃
Error range 9%~11% 12%~15% 3%~7% 8%~14%

Claims (4)

1. the laboratory lifetimes prediction technique of a kind of rubber product, using compression set as benchmark parameter, including testing program It formulates and preparation of samples, laboratory environment test, aging damage factor building, damage modeling, life prediction process, feature exists In:
Solution formulation and preparation of samples: with room temperature~sample to be tested highest test temperature TmaxIt is uniformly distributed to try for test temperature section Temperature spot is tested, using compression set 15%~30% as test load, formulates sampling week according to the principle of " preceding close rear thin " Phase simultaneously determines sample size;
Aging damage factor building: basic Damage Parameter is calculated separately to the grey relational grade g of compression seti, substitute into formula (1) damage factor of sample to be tested is obtained:
Af=c+ (1-gi)η+(1-gi)ρ (1)
In formula: gi--- grey relational grade, i=1,2 ... n, n are the basic damage in addition to compression set for participating in calculating Parameter quantity
C --- compression set change rate;
η --- compression stress relaxation change rate;
ρ --- rate of change of the density;
Damage modeling: by aging damage factor retention rate (1-Af) it is used as life appraisal characteristic index, obtain AfThe ternary mould of-T- τ Type is shown in formula (2):
1-Af=Ae-Kτ (2)
In formula: Af- aging damage factor;
τ-ageing time, d;
K-performance change constant related with temperature;
A-constant;
Life prediction: the ageing time τ of identical test temperature is substituted into formula (2) respectively, the expected storage temperature service life is calculated Value.
2. the laboratory lifetimes prediction technique of rubber product according to claim 1, it is characterised in that: between test temperature point Every between 10~30 DEG C.
3. the laboratory lifetimes prediction technique of rubber product according to claim 1, it is characterised in that: starting test temperature For TmaxIt is 50~100 DEG C lower.
4. the laboratory lifetimes prediction technique of rubber product according to any one of claims 1 to 3, it is characterised in that: Basic Damage Parameter is including at least two parameters in compression set, compression stress relaxation, density.
CN201811577351.3A 2017-12-27 2018-12-24 Rubber sealing product service life prediction method based on aging damage Active CN109342310B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201711442534 2017-12-27
CN201711442534X 2017-12-27

Publications (2)

Publication Number Publication Date
CN109342310A true CN109342310A (en) 2019-02-15
CN109342310B CN109342310B (en) 2021-07-06

Family

ID=65297120

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811577351.3A Active CN109342310B (en) 2017-12-27 2018-12-24 Rubber sealing product service life prediction method based on aging damage

Country Status (1)

Country Link
CN (1) CN109342310B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110186840A (en) * 2019-07-03 2019-08-30 西安石油大学 A kind of processing method of water injection well casing damage test data
CN111291509A (en) * 2020-01-20 2020-06-16 中国人民解放军空军工程大学 O-shaped ring hydraulic component wear life prediction method
CN113916763A (en) * 2021-10-22 2022-01-11 山东大学 Method for predicting wet heat aging life of methyl vinyl silicone rubber

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507114A (en) * 2011-10-19 2012-06-20 天津大学 Method for predicting relaxation life of spiral spring on basis of stress relaxation theory of temperature accelerating material
CN102589977A (en) * 2012-01-13 2012-07-18 北京航空航天大学 Method for predicting rubber storage life on basis of compression stress relaxation test equipment
CN104914041A (en) * 2015-06-18 2015-09-16 同济大学 Aging testing method of shield tunnel elastic sealing gasket finished products
CN105158084B (en) * 2015-09-15 2018-02-09 华东理工大学 A kind of Creep-Fatigue Life Prediction method of material

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507114A (en) * 2011-10-19 2012-06-20 天津大学 Method for predicting relaxation life of spiral spring on basis of stress relaxation theory of temperature accelerating material
CN102589977A (en) * 2012-01-13 2012-07-18 北京航空航天大学 Method for predicting rubber storage life on basis of compression stress relaxation test equipment
CN104914041A (en) * 2015-06-18 2015-09-16 同济大学 Aging testing method of shield tunnel elastic sealing gasket finished products
CN105158084B (en) * 2015-09-15 2018-02-09 华东理工大学 A kind of Creep-Fatigue Life Prediction method of material

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王孟: "基于Copula函数的多元加速退化试验方法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *
王宝松 等: "基于灰关联理论的橡胶粉改性沥青热老化性能研究", 《公路交通技术》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110186840A (en) * 2019-07-03 2019-08-30 西安石油大学 A kind of processing method of water injection well casing damage test data
CN110186840B (en) * 2019-07-03 2021-07-16 西安石油大学 Method for processing damage test data of casing of water injection well
CN111291509A (en) * 2020-01-20 2020-06-16 中国人民解放军空军工程大学 O-shaped ring hydraulic component wear life prediction method
CN111291509B (en) * 2020-01-20 2022-12-13 中国人民解放军空军工程大学 O-shaped ring hydraulic component wear life prediction method
CN113916763A (en) * 2021-10-22 2022-01-11 山东大学 Method for predicting wet heat aging life of methyl vinyl silicone rubber

Also Published As

Publication number Publication date
CN109342310B (en) 2021-07-06

Similar Documents

Publication Publication Date Title
CN109342310A (en) A kind of rubber seal products life-span prediction method based on Aging Damage
CN107702905B (en) Rubber ring reliable life prediction method based on Weibull distribution
CN111458225B (en) Method for predicting service life of proton exchange membrane fuel cell sealing material
CN109933925B (en) Method for predicting stamping forming performance of metal plate
CN109142049A (en) A kind of Prediction method for fatigue life based on crackle spreading rate model
CN105352815B (en) A kind of Forecasting Methodology of static seal fluororubber O shape circle remaining life
CN108959844B (en) Method and system for evaluating flow property of polymer material by adopting molecular simulation method
CN103439473B (en) A kind of 12Cr1MoV steel heating surface state evaluating method
Liu et al. Rubber accelerated ageing life prediction by Peck model considering initial hardness influence
CN104251798A (en) High-strength bolt delayed fracture test method and apparatus thereof
CN105844079A (en) Accelerated aging model and service life evaluation method of fluororubber sealing product under compression load
RU2184361C1 (en) Method of determination of strength properties of film materials
CN106404643A (en) Method for verifying consistency of mechanisms involved in accelerated testing of butadiene-acrylonitrile rubber based on failure physics
CN104914041A (en) Aging testing method of shield tunnel elastic sealing gasket finished products
CN109884288A (en) Asphalt Prony series model determination method for parameter based on optimal slack time domain
Liu et al. Machine learning for extending capability of mechanical characterization to improve springback prediction of a quenching and partitioning steel
CN105158147B (en) A kind of device and method for being used to test sealing ring material aging
Johlitz et al. Chemical ageing of elastomers: experiments and modelling
CN107609223B (en) Method for establishing cold-rolled dual-phase steel dynamic deformation constitutive model with tensile strength of 1200MPa
CN114295491A (en) Prediction method for creep damage and time evolution behavior of deformation
JP6060198B2 (en) Thermal degradation test method
McNamara Novel approaches to the analysis of localised stress concentrations in deformed elastomers
CN113295564B (en) Improved Beremin model parameter calibration method
CN115597967A (en) Material parameter reverse identification method based on multi-objective optimization
CN113297692B (en) Method for establishing fracture toughness transformation model

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