CN103308334B - A kind of component fatigue appraisal procedure of Nonlinear Cumulative - Google Patents

A kind of component fatigue appraisal procedure of Nonlinear Cumulative Download PDF

Info

Publication number
CN103308334B
CN103308334B CN201310189197.3A CN201310189197A CN103308334B CN 103308334 B CN103308334 B CN 103308334B CN 201310189197 A CN201310189197 A CN 201310189197A CN 103308334 B CN103308334 B CN 103308334B
Authority
CN
China
Prior art keywords
stress
fatigue
sequence
component
damage
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.)
Expired - Fee Related
Application number
CN201310189197.3A
Other languages
Chinese (zh)
Other versions
CN103308334A (en
Inventor
李兆霞
吴佰建
王莹
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.)
Southeast University
Original Assignee
Southeast University
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 Southeast University filed Critical Southeast University
Priority to CN201310189197.3A priority Critical patent/CN103308334B/en
Publication of CN103308334A publication Critical patent/CN103308334A/en
Application granted granted Critical
Publication of CN103308334B publication Critical patent/CN103308334B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a kind of component fatigue appraisal procedure of Nonlinear Cumulative, for carrying out Fatigue Assessment to the component under the effect of luffing stress time-histories, comprising the following steps: pre-service is carried out to the standard stress time-histories of component, obtains peak-to-valley value sequence; Carry out rain-flow counting, extract Cyclic Stress sequence that this component experiences, that comprise effect precedence, estimate the fatigue damage that calibrated bolck causes; Estimate the life-span of component.The present invention can be used for the Fatigue Assessment of bearing luffing stress members, can consider the precedence that Cyclic Stress applies, and also can consider and estimate the impact that overload is accumulative on fatigue, being particularly suitable for the Fatigue Assessment based on Monitoring Data in monitoring structural health conditions.

Description

A kind of component fatigue appraisal procedure of Nonlinear Cumulative
Technical field
The invention belongs to component fatigue evaluation areas, especially the component fatigue appraisal procedure of Nonlinear Cumulative.
Background technology
In current existing Fatigue Assessment method, mainly bear the situation of constant amplitude load for component, main employing S-N curve method; And for slightly complicated luffing load, after utilizing cycle count method extraction stress spectra, general linearly tired Miller (Miner) law added up that adopts assesses degree of fatigue.
But the fatigue accumulation of material is a non-linear process, the loading sequence of Cyclic Stress has appreciable impact to damage is accumulative, and thus the theory of Miller criterion and corresponding assessment result and actual conditions exist comparatively big error; In addition, Miller criterion is a theory being more suitable for high cycle fatigue, can not consider the impact that the overload effect of contingency is accumulative on fatigue.
Summary of the invention
Goal of the invention: the present invention will provide a kind of appraisal procedure, carries out Fatigue Damage Assessment to the component or material bearing luffing stress time-histories.
Technical scheme: a kind of component fatigue appraisal procedure of Nonlinear Cumulative, comprises the steps:
Step 1, standard stress time-histories σ to component blockt () carries out pre-service, obtain peak-to-valley value sequence p (i);
Step 2, rain-flow counting is carried out to described peak-to-valley value sequence p (i), extract Cyclic Stress sequence C that this component experiences, that comprise effect precedence;
The fatigue damage recruitment Δ D that step 3, calculating calibrated bolck cause block;
The life-span of step 4, calculating component.
In described step 2, according to the extracted in order Cyclic Stress sequence C of component institute elapsed-time standards.
Described step 3 comprises the following steps:
I, taking-up stress amplitude sequence Δ σ (i);
Ii, be that index travels through all Cyclic Stress with i, calculate the damage increment dD that this circulation causes i;
Iii, to damage increment dD isummation, calculates the fatigue damage recruitment Δ D that calibrated bolck causes block:
In described step I i, point three kinds of situations calculate damage increment dD i:
A) Δ σ i<=h 1time
dD i=0 (1)
B) h 1< Δ σ i<=h 2time,
dD i = [ ( &Delta; &sigma; i + 2 &sigma; m , i ) &Delta; &sigma; i ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D i ) &alpha; i - - - ( 2 )
C) Δ σ (i) > h 2time, first by the b of non-overloaded) situation estimation, be designated as
A = [ ( &Delta; &sigma; i + 2 &sigma; m , i ) &Delta; &sigma; i ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D i ) &alpha; i .
And be modified on this basis
dD i = ( 1 - D i ) { 1 - [ 1 - A ( &alpha; i + 1 ) ] 1 &alpha; i + 1 } - - - ( 3 )
Wherein i is index, and D is fatigue damage amount, because of but an amount along with time variations, Δ σ, σ mbe stress amplitude and mean stress respectively, with index i change, need to be write as σ m,iwith Δ σ iform, B and β is material constant, and α is with the relevant function f (Δ σ) of stress amplitude Δ σ, is write as α with index i change i=f (Δ σ i) form, stress amplitude threshold value h 1fatigue stress threshold value, Δ σ (i) < h 1time, any fatigue effect can not be produced, h 2for the judgement threshold of overload, Δ σ (i) > h 2time, belong to overload condition.
Described step 4 comprises: make initial fatigue damage be zero (D 0=0) the impairment value ultimate value D, during given inefficacy simultaneously f, in units of calibrated bolck, constantly apply this load, repetition carry out step 3 until fatigue damage value reaches the limit values D f.
In step 2, described rain-flow counting adopts 4 diagnostic methods, specific as follows:
The all values of i, traversal peak-to-valley value data (p (i)), for the particular value (p (i)) at current location i place, gets four adjacent peak valley points and carries out judgement 4 diagnostic methods; Obtain the Cyclic Stress sequence extracted and (be designated as C 0, C 0for M 0the matrix of × 2, wherein M 0for the circulation peak-to-valley value (p that is total and remaining, that cannot extract temporarily extracted r0(i)) sequence;
Ii, by p r0i () sequence disconnects from maximal value, then by end to end, form new sequence, be designated as p r(i), this sequence can not produce the Cyclic Stress that cannot extract; To p ri () be implementation step first again), and add the Cyclic Stress newly extracted to C 0the Cyclic Stress sequence that middle formation is final, is designated as C, and C is the matrix of M × 2, and wherein M is the circulation sum extracted; Obtain Cyclic Stress sequence C, C contains the Cyclic Stress comprising precedence.
In described step 1, traversal standard stress time-histories σ blockall data σ in (t) block(i), judge the positive negativity of [σ (i)-σ (i-1)] × [σ (i)-σ (i+1)]: if positive number, then stress σ (i) is labeled as peak value or valley, takes out and put into peak-to-valley value data p (i) successively; If negative, then skip.
Beneficial effect: the present invention can consider the precedence (fatigue damage non-linear accumulative) that Cyclic Stress applies, also can consider and estimate the impact that overload effect is accumulative on fatigue, operating feature of the present invention is particularly suitable for the Fatigue Assessment based on Monitoring Data in monitoring structural health conditions.
Accompanying drawing explanation
Fig. 1 is the frame diagram of Fatigue Assessment of the present invention;
Fig. 2 a and Fig. 2 b is rain-flow counting schematic diagram of the present invention;
Fig. 3 is the process schematic that the present invention calculates fatigue damage increment;
Fig. 4 a and Fig. 4 b is the sample result figure that the present invention obtains the parameter alpha=f (Δ σ) of material;
Fig. 5 is the schematic diagram of the parameter B that the present invention obtains material, β;
Fig. 6 a and Fig. 6 b is loop blocks and the assessment result schematic diagram of the present invention's bridge member embodiment.
Embodiment
The present invention, on the basis of damage mechanics, rain flow method scheduling theory and technology, gives a kind of component fatigue appraisal procedure of Nonlinear Cumulative.The assessment that the present invention adds up for the non-linear fatigue damage of bearing luffing stress members, the precedence that Cyclic Stress applies can be considered, also can consider and estimate the impact that overload is accumulative on fatigue, the present invention is particularly suitable for the Fatigue Assessment based on Monitoring Data in monitoring structural health conditions.
As shown in Figure 1, the component fatigue appraisal procedure of a kind of Nonlinear Cumulative of the present invention comprises several step:
1, to the standard stress time-histories σ that component is representative blockt () (being called calibrated bolck, block), carries out pre-service and obtains peak-to-valley value sequence p (i);
2, rain-flow counting is carried out to p (i), extract Cyclic Stress sequence C that this component experiences, that comprise effect precedence;
3, estimate that the fatigue damage that calibrated bolck causes increases Δ D block;
4, the life-span of component is estimated.
In step 1, pre-service refers to extracts stress course σ blockt the peak value in () and valley, method is: traversal σ blockall data σ in (t) block(i), judge the positive negativity of [σ (i)-σ (i-1)] × [σ (i)-σ (i+1)]: if positive number, then σ (i) is labeled as peak value or valley, takes out and put into storage peak-to-valley value data p (i) successively; If negative, then skip.Head and the tail two number of σ (i) is certain peak value or valley.
The peak-to-valley value data of will be discharged successively after preprocessing process terminates, are designated as p (i).
In step 2, described rain-flow counting adopts 4 diagnostic methods, and step is first-second:
The all values of first, traversal peak-to-valley value data p (i), for the value p (i) at current location i place, gets four adjacent peak valley points and judges.Rule of judgment:
A), as depicted in figure 2, if p (i) be trough and p (i+1) >p (i) time, meet p (i+2) >p (i) and the condition of p (i+3) >p (i+1); Extract the stress recycle to extinction that path is p (i+1) → p (i+2) → p (i+1), with the matrix [σ of 1 × 2 m, Δ σ] this circulation of format record, remove simultaneously p (i+1) point and p (i+2) point; Position i is reduced 2, returns above-mentioned judgement;
B), as shown in accompanying drawing 2b, if p (i) be crest and p (i+1) <p (i) time, meet p (i+2) <p (i) and the condition of p (i+3) <p (i+1); Extract the stress recycle to extinction that path is p (i+1) → p (i+2) → p (i+1), with the matrix [σ of 1 × 2 m, Δ σ] this circulation of format record, remove simultaneously p (i+1) point and p (i+2) point; Position i is reduced 2, returns above-mentioned judgement;
Wherein, σ mfor the mean stress of this Cyclic Stress, computing method are σ m=(p (i+1)+p (i+2))/2; Δ σ is the stress amplitude of this Cyclic Stress, and computing method are Δ σ=Abs (p (i+1)-p (i+2)), and wherein Abs () is for taking absolute value.
C), do not meet above-mentioned a) or b) arbitrary condition, do not process, position i is added 1, return above-mentioned judgement.
After step first terminates, obtain the Cyclic Stress sequence extracted and (be designated as C 0, C 0for M 0the matrix of × 2, wherein M 0for extract circulation sum) and peak-to-valley value that is remaining, that cannot extract temporarily (be designated as p r0(i)) sequence.
Second, by p r0i () sequence disconnects from maximal value, then by end to end, form new sequence, be designated as p ri (), this sequence can not produce the Cyclic Stress that cannot extract.To p ri () be implementation step first again), and add the Cyclic Stress newly extracted to C 0the Cyclic Stress sequence that middle formation is final, is designated as C, and C is the matrix of M × 2, and wherein M is the circulation sum extracted.
Step second) terminate after, obtain Cyclic Stress sequence C, C contains the Cyclic Stress comprising precedence.
As shown in Figure 3, in step 3, the process calculating the fatigue damage increase Δ D that calibrated bolck causes is i)-iii):
I), from Cyclic Stress Matrix C take out secondary series, i.e. stress amplitude sequence Δ σ (i), total length and the Cyclic Stress number of note Δ σ (i) are N cycles.
Ii) two stress amplitude threshold value h, are determined 1and h 2.Wherein h 1it is fatigue stress threshold value.Δ σ (i) < h 1time can not produce any fatigue effect.Δ σ (i) > h 2time, belong to overload condition, at this moment likely can produce plasticity.Travel through all Cyclic Stress (taking i as index), calculate the damage increment dD that this circulation causes ibe divided into three kinds of situations
A) Δ σ i<=h 1time
dD i=0 (1)
B) h 1< Δ σ i<=h 2time,
dD i = [ ( &Delta; &sigma; i + 2 &sigma; m , i ) &Delta; &sigma; i ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D i ) &alpha; i - - - ( 2 )
C) Δ σ (i) > h 2time, first by the b of non-overloaded) situation estimation, be designated as
A = [ ( &Delta; &sigma; i + 2 &sigma; m , i ) &Delta; &sigma; i ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D i ) &alpha; i .
Be modified on this basis
dD i = ( 1 - D i ) { 1 - [ 1 - A ( &alpha; i + 1 ) ] 1 &alpha; i + 1 } - - - ( 3 )
Wherein i is index.D is fatigue damage amount, because of but an amount changed along with the time (Cyclic Stress sequence).Identical with definition above, Δ σ, σ mbe stress amplitude and mean stress respectively, therefore with index i change, need to be write as σ m,iwith Δ σ iform.B and β is material constant.α is with the relevant function f (Δ σ) of stress amplitude Δ σ, is thus also write as α with index change i=f (Δ σ i) form.
Iii) the fatigue damage increase Δ D that calibrated bolck causes, is calculated block:
&Delta;D block = &Sigma; i = 1 N cycles d D i
Described step 3) neutron step I i) theory origin as follows, according to damage mechanics theory, the fatigue that the Cyclic Stress exceeding fatigue threshold causes accumulative (rate) is,
dD dn = [ ( &Delta;&sigma; + 2 &sigma; m ) &Delta;&sigma; ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D ) &alpha;
Wherein D, Δ σ, σ m, B, β, α with define above identical
Above-mentioned formula integration can be obtained step I i) in several formulas, situation b) be the D in above formula right-hand member is regarded as circulation in constant obtained, and situation c) be consider that the lower damage of overload may have the change of can not ignore, and thus moves on to left end integration and obtains by D.In theory, the formula of step c) situation also can be used in the situation of non-overloaded.Here making differentiation is to average out between counting yield and accuracy.
In step 3, sub-step material parameter B ii), β, α method of testing must determine by means of the Woehler curve of single shaft cycle facigue and controlled strain torture test.
First the form of α=f (Δ σ) is determined.Carry out the testing fatigue of the equal stress width under different order of magnitude, obtain the curve of fatigue and the fatigue damage accumulation curve of material.
Fig. 4 a gives the figure that certain stainless steel bears the fatigue damage D of different equal stress width effects.On the other hand, the damage evolution equation in theory under single shaft cyclic loading can obtain following form:
D = 1 - { 1 - N N f [ 1 - ( 1 - D f ) &alpha; i + 1 ] } 1 &alpha; i + 1
Fatigue damage summation curve under differently strained width Δ σ is all drawn the α under different stress amplitude with above-mentioned equation model, then with suitable curve α--Δ σ relation, general useable linear relation describes this relation:
α=kΔσ+α 0
Provide in Fig. 4 b certain stainless steel Δ σ be 600,500 and 480MPa stress amplitude under α value, by parameter k and α can be obtained to the matching of this figure 0.
Then B is determined, the value of β.In theory, the period formula lost efficacy under the cyclic loading of single shaft is
N f = B 1 ( &beta; + 3 ) &alpha; + 1 &Delta; &sigma; - ( &beta; + 3 )
In formula, parameter alpha is determined.Parameter beta+3 and B 1(β+3)/(α+1) can by the Woehler curve N under the loop cycle load of generation equal stress width f(Δ σ) carrys out matching and determines.
Fig. 5 gives the S-N curve of certain stainless steel test specimen under constant amplitude cyclic load, by obtaining β+3, B to the matching of this curve 1(β+3)/(α+1).Finally B can be obtained, β.
In step 4, the method in the life-span of estimation component is make initial fatigue damage be D 0=0, the impairment value ultimate value D simultaneously during given inefficacy f, in units of calibrated bolck, constantly apply this load, repetition carry out step 3) until fatigue damage value reaches D f.
Fig. 6 a and Fig. 6 b provides loop blocks and the assessment result of certain bridge member.Fig. 6 a is the Cyclic Stress block of input, and Fig. 6 b is the tired summation curve provided after assessment.In curve, one is the tired accumulated result provided according to Miller criterion, and one is the fatigue evolution result provided according to the present invention, obviously can find out that the present invention can consider tired accumulative nonlinear characteristic in figure.

Claims (5)

1. a component fatigue appraisal procedure for Nonlinear Cumulative, is characterized in that comprising the steps:
Step 1, standard stress time-histories σ to component blockt () carries out pre-service, obtain peak-to-valley value data p (i);
Step 2, rain-flow counting is carried out to described peak-to-valley value data p (i), extract Cyclic Stress sequence C that this component experiences, that comprise effect precedence;
The fatigue damage recruitment Δ D that step 3, calculating calibrated bolck cause block;
The life-span of step 4, calculating component;
Described step 3 comprises the following steps:
I, taking-up stress amplitude sequence Δ σ (i);
Ii, be that index travels through all Cyclic Stress with i, calculate the damage increment dD that this circulation causes i;
Iii, to damage increment dD isummation, calculates the fatigue damage recruitment Δ D that calibrated bolck causes block;
In described step I i, point three kinds of situations calculate damage increment dD i:
A) Δ σ i<=h 1time
dD i=0 (1)
B) h 1< Δ σ i<=h 2time,
dD i = [ ( &Delta;&sigma; i + 2 &sigma; m , i ) &Delta;&sigma; i ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D i ) &alpha; i - - - ( 2 )
C) Δ σ (i) > h 2time, first by the b of non-overloaded) situation estimation, be designated as
A = [ ( &Delta;&sigma; i + 2 &sigma; m , i ) &Delta;&sigma; i ] &beta; + 3 2 B ( &beta; + 3 ) ( 1 - D i ) &alpha; i
And be modified on this basis
dD i = ( 1 - D i ) { 1 - [ 1 - A ( &alpha; i + 1 ) ] 1 &alpha; i + 1 } - - - ( 3 )
Wherein i is index, and D is fatigue damage amount, is an amount along with time variations, Δ σ, σ mbe stress amplitude and mean stress respectively, with index i change, need to be write as Δ σ iand σ m, iform, B and β is material constant, and α is with the relevant function f (Δ σ) of stress amplitude Δ σ, is write as α with index i change i=f (Δ σ i) form, stress amplitude threshold value h 1fatigue stress threshold value, Δ σ (i) < h 1time, any fatigue effect can not be produced, h 2for the judgement threshold of overload, Δ σ (i) > h 2time, belong to overload condition.
2. the component fatigue appraisal procedure of a kind of Nonlinear Cumulative according to claim 1, is characterized in that: in described step 2, according to the extracted in order Cyclic Stress sequence C of component institute elapsed-time standards.
3. the component fatigue appraisal procedure of a kind of Nonlinear Cumulative according to claim 1, is characterized in that: described step 4 comprises the following steps: make initial fatigue damage be zero D 0=0, the damage limit value Df simultaneously during given inefficacy ,in units of calibrated bolck, continuous load application, repetition carry out step 3 until fatigue damage value reaches damage limit value D f.
4. the component fatigue appraisal procedure of a kind of Nonlinear Cumulative according to claim 1, is characterized in that: in step 2, and described rain-flow counting adopts 4 diagnostic methods, specific as follows:
The all values of i, traversal peak-to-valley value data p (i), for particular value p (i) at current location i place, gets four adjacent peak valley points and carries out judgement 4 diagnostic methods; Obtain the Cyclic Stress sequence C extracted 0, C 0for M 0the matrix of × 2, wherein M 0for the circulation peak-to-valley value p that is total and remaining, that cannot extract temporarily extracted r0(i) sequence;
Ii, by peak-to-valley value p r0i () sequence disconnects from maximal value, then by end to end, form new sequence, be designated as p r(i), this sequence can not produce the Cyclic Stress that cannot extract; To p ri () be implementation step i again), and add the Cyclic Stress newly extracted to Cyclic Stress sequence C 0the Cyclic Stress sequence C that middle formation is final, C is the matrix of M × 2, and wherein M is the circulation sum extracted; Obtain Cyclic Stress sequence C, C contains the Cyclic Stress comprising precedence.
5. the component fatigue appraisal procedure of a kind of Nonlinear Cumulative according to claim 1, is characterized in that: in described step 1, traversal standard stress time-histories σ blockall data σ in (t) block(i), judge the positive negativity of [σ (i)-σ (i-1)] × [σ (i)-σ (i+1)]: if positive number, then stress σ (i) is labeled as peak value or valley, takes out and put into peak-to-valley value data p (i) successively; If negative, then skip.
CN201310189197.3A 2013-05-20 2013-05-20 A kind of component fatigue appraisal procedure of Nonlinear Cumulative Expired - Fee Related CN103308334B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310189197.3A CN103308334B (en) 2013-05-20 2013-05-20 A kind of component fatigue appraisal procedure of Nonlinear Cumulative

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310189197.3A CN103308334B (en) 2013-05-20 2013-05-20 A kind of component fatigue appraisal procedure of Nonlinear Cumulative

Publications (2)

Publication Number Publication Date
CN103308334A CN103308334A (en) 2013-09-18
CN103308334B true CN103308334B (en) 2015-08-26

Family

ID=49133798

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310189197.3A Expired - Fee Related CN103308334B (en) 2013-05-20 2013-05-20 A kind of component fatigue appraisal procedure of Nonlinear Cumulative

Country Status (1)

Country Link
CN (1) CN103308334B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103645065B (en) * 2013-12-25 2016-02-03 国电联合动力技术有限公司 The full-time journey coupling fatigue analysis method of a kind of offshore wind turbine foundation and system
CN104089835B (en) * 2014-07-01 2016-10-26 宁德职业技术学院 TC4 welded unit life-span Nfprediction and reliability R analyze method
CN105718633B (en) * 2016-01-15 2019-08-02 重庆长安汽车股份有限公司 A kind of loading analysis method of chassis member
CN107449529B (en) * 2017-08-01 2020-05-05 济南大学 Leaf spring stress cycle monitoring system and method thereof
CN109543355A (en) * 2019-01-03 2019-03-29 付远 A kind of fatigue failure algorithm of stress-cycle-index (S-N) based on FInite Element
CN114970272B (en) * 2022-05-31 2023-08-15 华南理工大学 Estimation method and device for wind-induced fatigue damage of metal roof under typhoon effect

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567633A (en) * 2011-12-22 2012-07-11 上海交通大学 Shore bridge structure wind vibration fatigue reliability forecasting method based on probability accumulated damage

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3132180B2 (en) * 1992-08-27 2001-02-05 石川島播磨重工業株式会社 Structural fatigue life prediction sensor

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567633A (en) * 2011-12-22 2012-07-11 上海交通大学 Shore bridge structure wind vibration fatigue reliability forecasting method based on probability accumulated damage

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Z.X.Li等.Fatigue analysis and life prediction of bridges with structural health monitoring data—Part I:methodology and strategy.《International Journal of Fatigue》.2001,第23卷第48页第1栏、第50页3.3 标准块导致的疲劳损伤增加量部分、第51页4 疲劳损伤评估以及使用寿命预测部分. *
江阴长江大桥钢箱梁疲劳应力监测及寿命分析;余波等;《公路交通科技》;20090630;第26卷(第6期);第71页第1栏至第72页第1栏 *
特大跨缆索桥钢箱梁疲劳应力特性对比性研究;王莹等;《振动与冲击》;20091231;第28卷(第2期);第88页 *

Also Published As

Publication number Publication date
CN103308334A (en) 2013-09-18

Similar Documents

Publication Publication Date Title
CN103308334B (en) A kind of component fatigue appraisal procedure of Nonlinear Cumulative
CN103293014B (en) Bridge fatigue damage state and residual life evaluating method
CN105956315B (en) A kind of method for carrying out fatigue crack growth rate estimation and life prediction
CN104793604B (en) Principal component tracking based industrial fault monitoring method and application thereof
CN103424654B (en) A kind of appraisal procedure of voltage dip sensitivity of sensitive equipment
CN105067209B (en) The method of bridge structure stiffness variation is judged based on bridge health monitoring deformation data
CN106644464A (en) Rolling mill transmission system key component fatigue life early warning method based on load spectrum analysis
CN111046564A (en) Method for predicting residual life of two-stage degraded product
CN102252843B (en) Assessment method for rolling bearing performance variation
CN103278343B (en) A kind of recognition methods of key structural fatigue component
CN102663252B (en) Combined type pavement usability performance evaluation method for underground road
CN103439070A (en) Separation method for long-term deflection effect of bridge
CN103678858A (en) Method for predicting remaining life of equipment under competing failure conditions
CN105571645A (en) Automatic dam monitoring method
CN106779131A (en) Grease hole evaluates phase cumulative production Forecasting Methodology
CN101847834A (en) Reliability evaluation method of failure rate of small sample and zero-failure data part of power station
CN103018063A (en) Bridge random fatigue life prediction method based on Mittag-Leffler distribution
CN103268279B (en) Based on the software reliability prediction method of compound poisson process
CN110889554A (en) Power load fluctuation analysis and risk early warning method based on recurrence time interval analysis method
CN110823561A (en) Method for monitoring fatigue life of key part of rolling mill transmission shaft system under unsteady state load in real time based on material model library
CN105699849A (en) Voltage sag estimation method based on quantum-behaved particle swarm optimization algorithm
CN104750926A (en) Variable cross-section beam damage identification method based on node curvature and wavelet analysis
CN106610478A (en) Energy storage battery characteristic estimation method and system based on mass data
CN102254085A (en) Method for measuring reliability of mechanical/electronic product
CN103226737A (en) Chemical abnormal condition trend prediction method based on kalman filtering and grey prediction

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20150826

Termination date: 20180520

CF01 Termination of patent right due to non-payment of annual fee