CN112149242A - Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence - Google Patents

Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence Download PDF

Info

Publication number
CN112149242A
CN112149242A CN202010874322.4A CN202010874322A CN112149242A CN 112149242 A CN112149242 A CN 112149242A CN 202010874322 A CN202010874322 A CN 202010874322A CN 112149242 A CN112149242 A CN 112149242A
Authority
CN
China
Prior art keywords
fatigue
compression spring
model
stress relaxation
irradiation
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.)
Pending
Application number
CN202010874322.4A
Other languages
Chinese (zh)
Inventor
孙博
潘俊林
杨西
任羿
冯强
杨德真
王自力
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.)
Beihang University
Original Assignee
Beihang 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 Beihang University filed Critical Beihang University
Priority to CN202010874322.4A priority Critical patent/CN112149242A/en
Publication of CN112149242A publication Critical patent/CN112149242A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/17Mechanical parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/04Ageing analysis or optimisation against ageing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces

Landscapes

  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention provides a fatigue reliability evaluation method for a compression spring of an in-pile member, which considers stress relaxation and irradiation influence. Firstly, a fatigue life model and a stress relaxation model are combined, the influence of irradiation on fatigue parameters is considered, and a compression spring fatigue life model is constructed; on the basis of a compression spring fatigue life model, considering uncertainty of working condition parameters and material parameters, and calculating and acquiring fatigue life distribution by adopting a Monte Carlo method; and defining the reliability of the compression spring according to the generalized stress-intensity interference model, carrying out sensitivity analysis, and carrying out reliability evaluation on the compression spring. The method establishes the fatigue model of the compression spring of the reactor internals in consideration of stress relaxation and irradiation influence, provides the fatigue reliability evaluation flow of the compression spring, and can provide a theoretical basis for the design optimization of the compression spring.

Description

Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence
The technical field is as follows:
the invention provides a method for evaluating fatigue reliability of a hold-down spring of an in-reactor component in consideration of stress relaxation and irradiation influence, which is a method suitable for evaluating the reliability of the hold-down spring of the in-reactor component of a reactor and belongs to the technical field of reliability engineering.
(II) background of the invention
The compression spring is one of the components of the reactor internals, and has the function of compressing and positioning the reactor internals and maintaining vertical stability, and the reliability of the compression spring is related to the operation safety of the whole reactor. Due to the special environment of the reactor, the compression spring is in a certain irradiation working condition. In addition, unlike other parts of the reactor, the internals compression spring has a stress relaxation phenomenon during operation. The average stress of the compression spring cannot be regarded as a constant value. Fatigue life is often greatly underestimated if fatigue life assessment is made without consideration of stress relaxation. In order to make the fatigue life evaluation result more accurate, the influence of both the irradiation and the stress relaxation should be considered at the same time.
Aiming at the problems of fatigue failure and reliability of the compression spring of the in-pile member, the fatigue reliability evaluation method of the compression spring of the in-pile member considering stress relaxation and irradiation influence is provided. The method establishes the fatigue model of the compression spring of the reactor internals in consideration of stress relaxation and irradiation influence, provides the fatigue reliability evaluation flow of the compression spring, and can provide a theoretical basis for the design optimization of the compression spring.
Disclosure of the invention
The invention relates to a method for evaluating fatigue reliability of a compression spring of an in-pile component by considering stress relaxation and irradiation influence, which comprises the steps of firstly obtaining constraint data of a compression spring material, a structure and a load; decomposing the variable amplitude temperature load into a constant amplitude load by using a rain flow counting method; a fatigue life SWT model and a stress relaxation Landgraf model are combined, the influence of irradiation on fatigue parameters is considered, and a compression spring fatigue life model is constructed; on the basis of a compression spring fatigue life model, considering uncertainty of working condition parameters and material parameters, and calculating and acquiring fatigue life distribution by adopting a Monte Carlo method; and defining the reliability of the compression spring according to the generalized stress-intensity interference model, carrying out sensitivity analysis, and carrying out reliability evaluation on the compression spring.
The method comprises the following specific steps:
(1) and acquiring the constraint data of the material, the structure and the load of the compression spring of the reactor internals according to literature investigation, engineering experience and test fitting.
(2) And decomposing the actual amplitude variation temperature load into a constant amplitude load according to a rain flow counting method.
(3) And combining the fatigue life SWT model and the stress relaxation Landgraf model, considering the influence of irradiation on fatigue parameters, and constructing a compression spring fatigue life model considering the influence of stress relaxation and irradiation.
(4) And generating a random parameter simulation input data set according to simulation, engineering experience and literature investigation.
(5) And (4) sampling according to a Monte Carlo method to generate n groups of data, and calculating the fatigue life corresponding to each group of parameters.
(6) Calculating the fatigue total damage D according to the fatigue accumulated damage criterionfAnd total fatigue life Nf
(7) And calculating the reliability R of the compression spring according to a failure criterion.
(8) Calculating reliability sensitivity S (x) of uncertainty parameteri)。
And (3) decomposing the variable amplitude load into a constant amplitude load in the step (2), wherein the pressing force load of the pressing spring is basically constant and unchanged, but bears the variable amplitude temperature load under the normal working condition. The SWT model is used for solving the corresponding fatigue life according to stress-strain response under the action of constant amplitude cyclic load, and the actually measured amplitude-variable load needs to be decomposed into two constant amplitude loads with two parameters (variable range and mean value) reserved by a rain flow counting method.
Constructing a compression spring fatigue life model considering stress relaxation and irradiation influence in the step (3), wherein the step specifically comprises the following steps:
the SWT model can comprehensively consider the influence of strain, stress amplitude and average stress on the fatigue life, and the form is as follows:
Figure BDA0002650667850000021
in the formula, σaIs a stress amplitude; sigmamIs the average stress; deltatIs the strain range; sigma'fThe fatigue strength coefficient; 'fThe fatigue elongation coefficient; b is fatigue strength index; c is the fatigue elongation index; n is a radical offThe fatigue life is considered.
For the decomposed load, the ith constant amplitude fatigue load corresponds to the fatigue life Nf,iCorresponding fatigue damage Df,iComprises the following steps:
Figure BDA0002650667850000022
according to Miner fatigue damage accumulation criterion, total fatigue damage DfComprises the following steps:
Figure BDA0002650667850000023
in the formula, niThe load number of the ith constant amplitude fatigue load.
Total fatigue life NfComprises the following steps:
Figure BDA0002650667850000024
total fatigue life T in time unitsfComprises the following steps:
Tf=Nf×TD (5)
in the formula, TDCorresponding time for one cycle period.
For the compression spring, the average stress in the SWT model is not constant but gradually decreases due to the stress relaxation phenomenon, and for the average stress relaxation phenomenon, the landgraff model can be well characterized and has the following form:
σmj=σm1·Nj r (6)
the relationship between the number of load cycles and the fatigue life is:
Nj=ni×Nf,i (7)
the relationship between relaxation index and strain amplitude is:
Figure BDA0002650667850000031
transforming the above equation yields:
Figure BDA0002650667850000032
the fatigue life model considering stress relaxation can be obtained by combining the above formula as follows:
Figure BDA0002650667850000033
in the formula, σmj、σm1The average stress after j cycles and the average stress after the first cycle are respectively; n is a radical ofjIs the number of load cycles; r is the relaxation index;athrespectively, strain amplitude and critical strain amplitude; A. b is a stress relaxation parameter and a coefficient respectively, and can be obtained by fitting a stress relaxation curve in a fatigue test through a least square method.
The compaction spring of the reactor internals can be influenced by irradiation under normal working conditions, and after the irradiation of the material, the performance parameter P of the material can change along with the injection amount of neutrons, and the material can be fitted by the following formula:
P=A0+A1[1-exp(-d/d0)] (11)
in the formula, d is neutron injection amount; a. the0Is the initial value of the performance; a. the1A performance value variation amplitude coefficient; p is the post-irradiation performance parameter.
For theFatigue life model for compression spring, irradiation results in a fatigue strength coefficient σ'fAnd reduction of area psi:
Figure BDA0002650667850000034
ψ=ψ01[1-exp(-d/dψ)] (13)
fatigue elongation coefficient of Material'fThe relationship with the reduction of area ψ is:
Figure BDA0002650667850000035
combining the formula, the fatigue life model considering the stress relaxation and the irradiation influence simultaneously is obtained as follows:
Figure BDA0002650667850000041
in the step (4), the uncertainty parameters mainly consider working condition parameters and material parameters, wherein the working condition parameters select a strain range and a stress amplitude; the material parameters are selected from elastic modulus, fatigue strength coefficient, fatigue elongation coefficient, fatigue strength index, fatigue elongation index, stress relaxation parameter, stress relaxation coefficient and the like.
The working condition parameters can be subjected to distribution fitting by utilizing a plurality of groups of output results of the simulation input data set to obtain corresponding parameter distribution characteristics (mean and variance). The material parameters can be generally characterized by normal distribution, the typical value is taken as the sample mean value, and the coefficient of variation is taken as 0.01-0.05.
In step (7), the load-corresponding fatigue life distribution is:
Figure BDA00026506678500000410
corresponding to total fatigue life TfThe distribution is as follows:
Figure BDA00026506678500000411
for the internals hold down springs, given the allowable lifetime, the reliability is defined as:
Figure BDA0002650667850000042
if allowable lifetime tdFollowing the corresponding distribution, the reliability can be calculated using a generalized stress intensity interference model:
Figure BDA0002650667850000043
in the formula (I), the compound is shown in the specification,
Figure BDA0002650667850000048
cumulative probability distribution function for total fatigue life; t is tdFor the allowable lifetime;
Figure BDA0002650667850000049
is a function of the probability density of allowable lifetime.
In step (8), the reliability sensitivity of each design variable is calculated by the finite difference method. Design variable xiHas a mean value of
Figure BDA00026506678500000412
Standard deviation of
Figure BDA0002650667850000044
By using
Figure BDA0002650667850000045
Replacing x in all datasetsiThe design variables in the other data sets are kept unchanged, and the reliability R is obtained by sampling calculation by using a Monte Carlo method1. In the same way, use
Figure BDA0002650667850000046
Replacing x in all datasetsiThe design variables in the other data sets are kept unchanged, and the reliability R is obtained by sampling calculation by using a Monte Carlo method2Then design the variable xiSensitivity S (x) ofi) Comprises the following steps:
Figure BDA0002650667850000051
the invention relates to a method for evaluating fatigue reliability of a compression spring of an in-pile member by considering stress relaxation and irradiation influence, which has the advantages and effects that: a fatigue life model of the reactor internals is constructed in consideration of stress relaxation and irradiation influence, a fatigue reliability evaluation flow of the compression spring is given, and a theoretical basis can be provided for design optimization of the compression spring.
(IV) description of the drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a graph of the total fatigue life probability density distribution of the hold-down spring;
FIG. 3 is a graph of hold-down spring reliability results;
FIG. 4 is a graph of the reliability and sensitivity analysis results of design parameters of a hold-down spring;
the reference numbers and symbols in the figures are as follows:
Nfrepresents the total fatigue life;
Dfrepresents total fatigue damage;
tdindicating an allowable lifetime;
r represents reliability;
S(xi) Indicating a reliability sensitivity;
e represents an elastic modulus;
Δtrepresenting a strain range;
σarepresenting the stress amplitude;
σ'frepresenting the fatigue strength coefficient;
'frepresents a fatigue elongation coefficient;
b represents a fatigue strength index;
c represents a fatigue elongation index;
a represents a stress relaxation parameter;
b represents a stress relaxation coefficient
(V) detailed description of the preferred embodiments
The invention will be further described in detail with reference to fig. 1 and an evaluation case of fatigue reliability of a compression spring of an AP1000 pressurized water reactor, and the specific process is as follows:
the compression spring material is SA-182F6a martensitic stainless steel, and relevant performance parameters are shown in Table 1 at 350 ℃:
TABLE 1 compression spring Material Performance parameters
Figure BDA0002650667850000061
The pressure spring is influenced by circulating water temperature change in the operation process, bears constant mechanical load and variable amplitude temperature load in a period, retains two parameters (variable range and mean value) by a rain flow counting method, counts to obtain two unit constant amplitude loads with large temperature circulation (the number of load circulation is 3) and small temperature circulation (the number of load circulation is 2) in a circulation period, and provides input for next-step simulation analysis.
According to the structural characteristics and the size information of the compression spring, a compression spring CAD model is established, a circle of concentrated force load with the size of 3153kN is applied to the highest position of an upper surface arc, a circle of fixed constraint is applied to the highest position of a lower surface arc, stress-strain response required by a fatigue life model is output through a thermodynamic simulation method, and the deterministic fatigue life of the compression spring is calculated and obtained for 4154566 times according to the fatigue life model.
Further considering parameter uncertainty, the engineering parameter distribution is obtained by fitting according to the simulation result, the material parameters adopt normal distribution, and the distribution characteristics of the selected random variables are shown in table 2:
TABLE 2 random variable distribution characteristics
Figure BDA0002650667850000062
Figure BDA0002650667850000071
And substituting the probability density distribution of the total fatigue life into the model for simulation calculation for 5000 times, wherein the probability density distribution of the total fatigue life is obtained and is shown in figure 2, the allowable life is taken as a failure criterion, and a curve of the reliability changing along with the allowable life is obtained and is shown in figure 3.
The total fatigue life was calculated at 95% and 50% reliability and compared with the deterministic calculation and the results without considering the stress relaxation, the related results are shown in table 3:
TABLE 3 fatigue Life calculation results
Figure BDA0002650667850000072
According to the calculation result, under the condition of considering stress relaxation, the certainty calculation result is closer to the median life, the certainty fatigue life is 158 years when the safety coefficient is 3, the design life requirement of the reactor for 60 years is met, and if the stress relaxation is not considered, the fatigue life is reduced by 88.3%.
For the selected design variables: the strain range, the stress amplitude, the material parameters, the elastic modulus, the fatigue strength coefficient, the fatigue elongation coefficient, the fatigue strength index, the fatigue elongation index, the stress relaxation parameter, and the stress relaxation coefficient are selected to perform reliability sensitivity analysis, and the result is shown in fig. 4.
From the sensitivity analysis result, the fatigue strength coefficient, the fatigue elongation coefficient and the stress relaxation coefficient are in positive correlation with the reliability, and the other design variables are in negative correlation with the reliability. The elastic modulus and the fatigue strength index have great influence on the reliability, and the reliability can be greatly improved by reducing the elastic modulus and the fatigue strength index of the material from the design aspect. The sensitivity of the large temperature cycle strain range is 3 times of that of the small temperature cycle strain range, and the influence on the reliability is more obvious.

Claims (6)

1. A fatigue reliability assessment method for a compression spring of an in-pile component considering stress relaxation and irradiation influence is characterized by comprising the following steps: the method comprises the following steps:
(1) and acquiring the constraint data of the material, the structure and the load of the compression spring of the reactor internals according to literature investigation, engineering experience and test fitting.
(2) And decomposing the actual amplitude variation temperature load into a constant amplitude load according to a rain flow counting method.
(3) And combining the fatigue life SWT model and the stress relaxation Landgraf model, considering the influence of irradiation on fatigue parameters, and constructing a compression spring fatigue life model considering the influence of stress relaxation and irradiation.
(4) And generating a random parameter simulation input data set according to simulation, engineering experience and literature investigation.
(5) And (4) sampling according to a Monte Carlo method to generate n groups of data, and calculating the fatigue life corresponding to each group of parameters.
(6) Calculating the fatigue total damage D according to the fatigue accumulated damage criterionfAnd total fatigue life Nf
(7) And calculating the reliability R of the compression spring according to a failure criterion.
(8) Calculating reliability sensitivity S (x) of uncertainty parameteri)。
2. The determination method according to claim 1, wherein the load decomposition method in the second step is a rain flow counting method, and the actually measured variable amplitude load is decomposed into a constant amplitude load with two parameters (variable range and mean value) reserved.
3. The determination method according to claim 1, wherein the compression spring fatigue life model considering stress relaxation and irradiation influence of the step three is a combination of a fatigue life SWT model and a stress relaxation landgraff model; calculating total damage according to Miner fatigue damage accumulation criterion; the influence of irradiation is taken into account by the reduction of the fatigue strength coefficient and the reduction of area due to irradiation.
4. The method of claim 1, wherein in the uncertainty parameters of step four, the operating condition parameters are fitted to the distribution using the multiple sets of output results from the simulation input data set, the material parameters are generally characterized by a normal distribution, the typical values are taken as the sample mean, and the coefficient of variation is taken to be 0.01-0.05.
5. The determination method according to claim 1, wherein the reliability calculation method of step seven is a generalized stress intensity interference model.
6. The method according to claim 1, wherein the reliability sensitivity calculation method of the step eight is a finite difference method.
CN202010874322.4A 2020-08-26 2020-08-26 Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence Pending CN112149242A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010874322.4A CN112149242A (en) 2020-08-26 2020-08-26 Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010874322.4A CN112149242A (en) 2020-08-26 2020-08-26 Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence

Publications (1)

Publication Number Publication Date
CN112149242A true CN112149242A (en) 2020-12-29

Family

ID=73888945

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010874322.4A Pending CN112149242A (en) 2020-08-26 2020-08-26 Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence

Country Status (1)

Country Link
CN (1) CN112149242A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113515810A (en) * 2021-05-17 2021-10-19 中车长春轨道客车股份有限公司 Motor train unit bogie design and development method based on reliability and safety analysis

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060149517A1 (en) * 2004-12-30 2006-07-06 Caterpillar Inc. Methods and systems for spring design and analysis
CN101558174A (en) * 2005-09-23 2009-10-14 Uit有限责任公司 Method of metal performance improvement and protection against degradation and suppression thereof by ultrasonic impact
CN102181752A (en) * 2011-04-21 2011-09-14 江苏新华合金电器有限公司 Hand hole sealing cover spring material for steam generator of nuclear power plant and preparation method of hand hole sealing cover spring material
CN103942441A (en) * 2014-04-25 2014-07-23 上海交通大学 Carbon fiber composite material fatigue life estimating method based on stress ratio influences
CN105300673A (en) * 2015-10-10 2016-02-03 中国空间技术研究院 Reliability determination method based on compression spring stress relaxation testing data
CN107103140A (en) * 2017-04-28 2017-08-29 电子科技大学 A kind of time-dependent fatigue reliability analysis method based on bilinearity accumulated damage
CN110705163A (en) * 2019-09-30 2020-01-17 北京航空航天大学 Fatigue system reliability analysis method for composite material laminated structure

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060149517A1 (en) * 2004-12-30 2006-07-06 Caterpillar Inc. Methods and systems for spring design and analysis
CN101558174A (en) * 2005-09-23 2009-10-14 Uit有限责任公司 Method of metal performance improvement and protection against degradation and suppression thereof by ultrasonic impact
CN102181752A (en) * 2011-04-21 2011-09-14 江苏新华合金电器有限公司 Hand hole sealing cover spring material for steam generator of nuclear power plant and preparation method of hand hole sealing cover spring material
CN103942441A (en) * 2014-04-25 2014-07-23 上海交通大学 Carbon fiber composite material fatigue life estimating method based on stress ratio influences
CN105300673A (en) * 2015-10-10 2016-02-03 中国空间技术研究院 Reliability determination method based on compression spring stress relaxation testing data
CN107103140A (en) * 2017-04-28 2017-08-29 电子科技大学 A kind of time-dependent fatigue reliability analysis method based on bilinearity accumulated damage
CN110705163A (en) * 2019-09-30 2020-01-17 北京航空航天大学 Fatigue system reliability analysis method for composite material laminated structure

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
CHARLES LU 等: "Design and Fatigue Life Comparison of Steel and Composite Leaf Spring (2012-01-0944)", 《DESIGN OF AUTOMOTIVE COMPOSITES》 *
CHO M S; CHOO K; SOHN J M; PARK S J; SHIN Y;CHOI M;KANG Y;KIM: "Performance Tests and Development of the Cyclic Load Device using a Bellows", 《TRANSACTIONS OF THE KSME, A》 *
崔九征等: "强冲击条件下MEMS封装可靠性有限元分析", 《机械工程学报》 *
张义民等: "采煤机摇臂系统行星轮系疲劳可靠性灵敏度设计", 《东北大学学报(自然科学版)》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113515810A (en) * 2021-05-17 2021-10-19 中车长春轨道客车股份有限公司 Motor train unit bogie design and development method based on reliability and safety analysis

Similar Documents

Publication Publication Date Title
CN106777814B (en) Reliability prediction method based on multi-source hierarchical information updating and failure physics
CN111812710B (en) Earthquake PSA quantification algorithm based on Monte Carlo and maximum-minimum method
CN107229771B (en) Method for carrying out simulation measurement on spring pressing force of nuclear fuel plate
CN109948216B (en) Total strain energy density corrected notched part low-cycle fatigue prediction method
CN112149242A (en) Fatigue reliability assessment method for in-pile component compression spring considering stress relaxation and irradiation influence
Pourgol-Mohamad et al. Integrated methodology for thermal-hydraulic code uncertainty analysis with application
CN109887253B (en) Correlation analysis method for petrochemical device alarm
Pellissetti et al. Seismic Fragility Analysis Based On Vector-Valued Intensity Measures; Theory And Application To Fuel Assembly Grids
Wang et al. A research on the Monte Carlo simulation based on-condition maintenance strategy for wind turbines
Iman et al. Bayesian methods for modeling recovery times with an application to the loss of off‐site power at nuclear power plants
Brown et al. Statistical Tests for Convergence in Monte Carlo Criticality Calculations
Cai et al. Life Prediction of Self-Locking Nut for Aeroengine Based on Survival Analysis and Bayesian Network
Renault et al. Evaluation of the seismic risk of a NPP building using the conditional spectra approach
Soba et al. DIONISIO 2.0: A Code to Simulate the Behaviour of a Nuclear Fuel Rod under Irradiation in Normal and Accident Condition
Cunning et al. An Examination of CANDU Fuel Performance Margins Derived from a Statistical Assessment of Industrial Manufacturing Data
CN114491905B (en) Similarity evaluation method based on Meng Ka sampling
Kadooka et al. Large-Scale Parametric Modeling of Spent Nuclear Fuel Dynamics in the 30 cm Package Drop Scenario
Pellissetti et al. Bayesian meta-model (MOCABA) of fuel assembly spacer grid deformations for use in seismic fragility analysis
Bai et al. A probabilistic approach for long-term fatigue analysis of onshore wind turbine tower
Pelloni et al. Calculations of reactivity-initiated transients in gas-cooled fast reactors using the code system fast
Gardner Validation of the BISON Fuel Performance Code Against the Second Experiment of the Advanced Gas Program (AGR-2)
Aliberti et al. Fission spectrum related uncertainties
GOMES et al. Combining probabilistic and deterministic methods for accident analysis
Yang et al. Risk-informed time margin analysis for operators in main control room of nuclear power plant
Dueñas Dynamical System Scaling of Fuel Performance During Reactivity Insertion Accidents

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
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20201229