CN103854057B - A kind of comprehensive safety evaluation system being applied to inservice pressure vessel - Google Patents

Abstract

The invention discloses a kind of comprehensive safety evaluation system being applied to inservice pressure vessel, including: inservice pressure vessel base module, inservice pressure vessel safe evaluation criteria DBM, inservice pressure vessel initial data input module, inservice pressure vessel planar disfigurement quantization modules, inservice pressure vessel planar disfigurement fracture assessment reasoning module, inservice pressure vessel planar disfigurement fatigue assessment reasoning module, inservice pressure vessel vitals safe coefficient reasoning module, inservice pressure vessel material safe coefficient reasoning module, inservice pressure vessel internal medium safe coefficient reasoning module, inservice pressure vessel comprehensive safety passes judgment on module.Inservice pressure vessel has been carried out accurately by the present invention, the comprehensive safety of specification and automatization is passed judgment on, it is ensured that the science of judge and reasonability, improves the reliability of evaluation system, has the strongest practicality, it is achieved planar disfigurement length, depth quantization function.

Description

A kind of comprehensive safety evaluation system being applied to inservice pressure vessel

Technical field

The invention belongs to pressure vessel comprehensive safety evaluation technology field, particularly relate to one and be applied to inservice pressure vessel Comprehensive safety evaluation system.

Background technology

Pressure vessel is a kind of extraordinary bearing device with explosion danger, has high temperature, high pressure, inflammable, explosive, technique , once there is blast or leakage in the features such as complexity, consequence is extremely heavy, therefore, and the security reliability judge of pressure vessel Just it is particularly important.Along with popularizing of computer, system is applied in terms of the safety evaluation of pressure vessel.But It is that these systems are only with the fracture of defect or the mode of this single angle of fatigue assessment evaluation, and without concrete defect inspection Survey method and quantifying defects formula, more without reference to inservice pressure vessel comprehensively pacifying under each dominant failure factor influence condition Full judge.

Comprehensive safety evaluation technology determines that inservice pressure vessel safe coefficient under each dominant failure factor influence condition An effective technology.But, carry out inservice pressure vessel comprehensive safety and pass judgment on be one relate to defects detection and quantify, flat Planar defect fracture all many challenges such as fatigue assessment and Fuzzy Synthetic Evaluation, generally require possess specialty mathematics and Mechanical knowledge, sets up the set of factors of fuzzy comprehensive evoluation simultaneously need to take a significant amount of time with energy, passes judgment on collection and weight sets, this A little for being difficult to accomplish from the point of view of field engineering technical staff.

At present, the inservice pressure vessel enormous amount of China and situation are complicated, but comment the safety of these pressure vessels Sentence the most by virtue of experience and it is assumed that subjective randomness is the biggest on result impact.When carrying out safety evaluation, it is impossible to consider impact All principal elements of inservice pressure vessel safety, and clearly the connecting each other of each impact, the result of evaluation is often pressure Container is also in security clearance, and has lost efficacy, can not use.The comprehensive safety of inservice pressure vessel is passed judgment on, still Do not have one can realize planar disfigurement in conjunction with Non-Destructive Testing to quantify, and carry out rupturing, fatigue failure evaluation, and combine impact All principal elements of safety, carry out the fuzzy comprehensive evoluation of pressure vessel, draw the area of computer aided of its safe coefficient Design system.

Summary of the invention

The purpose of the embodiment of the present invention is to provide a kind of comprehensive safety evaluation system being applied to inservice pressure vessel, purport Solve existing pressure vessel safety pass judgment on exist by virtue of experience with it is assumed that subjective randomness is bigger, it is impossible to reasonable, accurate Really, problem specification inservice pressure vessel being carried out comprehensive safety judge.

The embodiment of the present invention is achieved in that a kind of comprehensive safety evaluation system being applied to inservice pressure vessel, should The comprehensive safety evaluation system being applied to inservice pressure vessel includes: inservice pressure vessel base module, inservice pressure vessel Safe evaluation criteria DBM, inservice pressure vessel initial data input module, inservice pressure vessel planar disfigurement quantify Module, inservice pressure vessel planar disfigurement fracture assessment reasoning module, inservice pressure vessel planar disfigurement fatigue assessment reasoning mould Block, inservice pressure vessel vitals safe coefficient reasoning module, inservice pressure vessel material safe coefficient reasoning module, in-service Pressure vessel internal medium safe coefficient reasoning module, inservice pressure vessel comprehensive safety pass judgment on module；

Inservice pressure vessel base module, for obtaining the material property parameter i.e. σ of inservice pressure vessel_s、σ_b、J_IC、 A、m、ΔK_th, weight vector corresponding to inservice pressure vessel set of factors, inservice pressure vessel fracture failure deciding degree data, Inservice pressure vessel fatigue failure deciding degree data, inservice pressure vessel vitals safe coefficient judges data, in-service pressure Force container material safe coefficient judges data, and inservice pressure vessel internal medium safe coefficient judges data；And with rudimentary knowledge It is stored in the knowledge base of system with two kinds of forms of inferenctial knowledge, during for system-computed reasoning；

The safe evaluation criteria DBM of inservice pressure vessel, pushes away with inservice pressure vessel planar disfigurement fracture assessment Reason module and inservice pressure vessel planar disfigurement fatigue assessment reasoning module connect, be used for storing country's evaluation criteria i.e. " with Containing defect Safty Evaluation of Pressure Vessels " data, comment including the fracture assessment of inservice pressure vessel, the fatigue of inservice pressure vessel Fixed, the safety evaluation for inservice pressure vessel is offered reference；The i.e. fracture assessment of planar disfigurement, assessment method is commented for using inefficacy The method determining figure is carried out, and Failure Assessment Curves equation is:

$K_r=(1-0.14L_r^2)(0.3+0.7e^{-0.65L_r^{\mathrm{\β}}})$

The equation of vertical line is:

Value depend on properties of materials:

To austenitic stainless steel,

To without the mild steel of yield point elongation and austenitic stainless steel weld joint,

To without the low-alloy steel of yield point elongation and weld seam thereof,

For having the material of long yield point elongation,When material temperature is not higher than 200 DEG C,Can basis K_rValue and material yield strength rank；

For not determining by steel classificationMaterial, can be calculated as followsValue

$L_r^{\max }=\stackrel{-}{\mathrm{\σ}}/{\mathrm{\σ}}_s=0.5({\mathrm{\σ}}_b+{\mathrm{\σ}}_s)/{\mathrm{\σ}}_s;$

Planar disfigurement Assessment Method for Fatigue:

Put down and be first depending on fatigue crack growth rate dadN and crack tip stress intensity factor amplitude of variation Δ K relational expression, determine propagation and the final size of fatigue crack in the cycle period of regulation；Then according to being given The criterion gone out and method, judge whether this planar disfigurement can occur leakage and fatigue fracture；

Inservice pressure vessel initial data input module, with inservice pressure vessel planar disfigurement fracture assessment reasoning module and Inservice pressure vessel planar disfigurement fatigue assessment reasoning module connects, and is used for inputting inservice pressure vessel model data, in-service pressure Force container internal medium situation, inservice pressure vessel vitals situation, inservice pressure vessel material situation and in-service pressure Container plan view defective locations data；

Inservice pressure vessel planar disfigurement quantization modules, with inservice pressure vessel planar disfigurement fracture assessment reasoning module and Inservice pressure vessel planar disfigurement fatigue assessment reasoning module connects, for by setting up system and Magnetic memory testing data analysis Data exchange interface between software, it is achieved the length of planar disfigurement, depth quantization function；

Inservice pressure vessel planar disfigurement fracture assessment reasoning module, is connected with inservice pressure vessel base module, uses In building inservice pressure vessel planar disfigurement fracture assessment inference machine, determine inservice pressure vessel fracture failure degree；

Inservice pressure vessel planar disfigurement fatigue assessment reasoning module, is connected with inservice pressure vessel base module, uses In building inservice pressure vessel planar disfigurement fatigue assessment inference machine, determine inservice pressure vessel fatigue failure degree；

Inservice pressure vessel vitals safe coefficient reasoning module, is connected with inservice pressure vessel base module, uses Evaluate safely inference machine in building inservice pressure vessel vitals, determine the safe coefficient of inservice pressure vessel vitals；

Inservice pressure vessel material safe coefficient reasoning module, is connected with inservice pressure vessel base module, for structure Build inservice pressure vessel material and evaluate safely inference machine, determine the safe coefficient of inservice pressure vessel material；

Inservice pressure vessel internal medium safe coefficient reasoning module, is connected with inservice pressure vessel base module, uses Evaluate safely inference machine in building inservice pressure vessel internal medium, determine inservice pressure vessel internal medium safe coefficient；

Inservice pressure vessel comprehensive safety pass judgment on module, with inservice pressure vessel planar disfigurement fracture assessment reasoning module and Inservice pressure vessel planar disfigurement fatigue assessment reasoning module connects, and carries out for dominant failure factor each to inservice pressure vessel Fuzzy comprehensive evoluation, determines the safe coefficient of inservice pressure vessel.

Further, inservice pressure vessel base module will obtain the material property parameter of this inservice pressure vessel, in-service Weight vector W corresponding to pressure vessel set of factors, inservice pressure vessel fracture failure deciding degree data, inservice pressure vessel is tired Labor failure degree judges data, and inservice pressure vessel vitals safe coefficient judges data, inservice pressure vessel material safety Deciding degree data, inservice pressure vessel internal medium judges safely data；Deposit with rudimentary knowledge and two kinds of forms of inferenctial knowledge In the knowledge base of system, use for during system-computed reasoning.

Further, inservice pressure vessel internal medium situation data include that inservice pressure vessel internal pressure p or pressure become Change curve data, inservice pressure vessel internal temperature, inservice pressure vessel internal gas or the corrosivity of liquid；In-service pressure holds Think highly of and want parts scenarios data include inservice pressure vessel glue core service life and bear fatigue load number of times, inservice pressure vessel The service life of sealing ring and bear fatigue load number of times, the service life of inservice pressure vessel sealing ring and bear fatigue load Number of times, the service life of inservice pressure vessel hydraulic control oil circuit and bear fatigue load number of times；Inservice pressure vessel material feelings Condition data include that inservice pressure vessel materials processing quality, the inservice pressure vessel mechanical property of materials, inservice pressure vessel design Reasonability；Inservice pressure vessel planar disfigurement position data includes the internal diameter of pressure vessel, planar disfigurement at planar disfigurement place The external diameter of pressure vessel at place.

Further, it is used for inputting inservice pressure vessel model data, inservice pressure vessel internal medium situation, in-service pressure Receptacle wants parts scenarios, inservice pressure vessel material situation and inservice pressure vessel planar disfigurement position data to pass through data File importing, keyboard or mouse input.

Further, inservice pressure vessel planar disfigurement quantization modules utilizes planar disfigurement length computation formula and planar disfigurement Depth calculation formula realize the quantization of planar disfigurement length and the degree of depth, i.e.

Planar disfigurement length computation formula:

$\begin{array}{c}{l}_{\max }=\max \left[\right|x_2-x_1|,|x_4-x_3|,{|x}_6-x_5|]\\ l_{\min }=\min \left[\right|x_2{-x}_1|,|x_4-x_3|,|x_6{-x}_5\left|\right]\\ l=0.95\frac{l_{\max }+l_{\min }}{2}\end{array}$

In formula: x₁First passage normal component crest location；

x₂First passage normal component wave trough position；

x₃Second channel normal component crest location；

x₄Second channel normal component wave trough position；

x₅Third channel normal component crest location；

x₆Third channel normal component wave trough position；

l_maxThe maximum of the spacing of first, second and third passage normal component crest and trough；

l_minThe minima of the spacing of first, second and third passage normal component crest and trough；

The length of l planar disfigurement；

The depth calculation formula of planar disfigurement:

H=0.048Hp_ymax-0.9955k-0.1343

In formula: Hp_ymaxThe maximum of magnetic field normal component in magnetic memory detector first, second and third passage；

The maximum of magnetic field gradient in k magnetic memory detector first, second and third passage；

The degree of depth of h planar disfigurement.

Further, inservice pressure vessel planar disfigurement fracture assessment reasoning module implements the function of two aspects:

One, first pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build in-service pressure Force container planar disfigurement fracture assessment inference machine；

Two, by the initial data in inservice pressure vessel initial data input module and inservice pressure vessel planar disfigurement amount The defective data that change module draws is input in inservice pressure vessel planar disfigurement fracture assessment inference machine, and inference machine is based on in-service Knowledge in pressure vessel base module, and combine the fracture in the safe evaluation criteria DBM of inservice pressure vessel Safety evaluation data, to inservice pressure vessel fracture failure degree, carries out complex reasoning, deduction and computational analysis, is finally given The fracture failure degree evaluation result of inservice pressure vessel is i.e.

1) expection cycle-index the most permanent width fatigue stress circulation total degree:

$N={\∫}_{a_0}^{a_c}\frac{\mathrm{da}}{A{\left(\mathrm{\Δk}\right)}^m}$

In formula: N inservice pressure vessel expection cycle-index the most permanent width fatigue stress circulation total degree；

a₀Initial crack depth size；

a_cCritical crack depth, crack depth at fracture size, 70% i.e. 0.7B of pressure force container wall thickness；

A, m material property parameter.

2) remanent fatigue life:

N_s=N-N'

In formula: N_sThe inservice pressure vessel i.e. remanent fatigue life of cycles left number of times；

N' inservice pressure vessel cycle-index；

3) determination of plastic limit loads:

$p_{L0}=\frac{2}{\sqrt{3}}\stackrel{-}{\mathrm{\σ}}1n\left(\frac{R+B/2}{R-B/2}\right)$

In formula: p_L0The plastic limit loads of inservice pressure vessel；

Material flow stress, takes yield point σ of material under evaluation operating mode_sValue；

The mean radius of R inservice pressure vessel；

The calculated thickness of B inservice pressure vessel；

4) the highest allowable working pressure:

p_max=p_L0

5) residual compression that can bear:

P'=p_max-p"

In formula: the residual compression that p' inservice pressure vessel can bear；

P " the pressure that inservice pressure vessel has born.

Further, inservice pressure vessel planar disfigurement fatigue assessment reasoning module implements the function of two aspects:

One, first pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build in-service pressure Force container planar disfigurement fatigue assessment inference machine；

Two, by the initial data in inservice pressure vessel initial data input module and inservice pressure vessel planar disfigurement amount The defective data that change module draws is input in inservice pressure vessel planar disfigurement fatigue assessment inference machine, and inference machine is based on in-service Knowledge in pressure vessel base module, and combine the fatigue in the safe evaluation criteria DBM of inservice pressure vessel Safety evaluation data, to inservice pressure vessel fatigue failure degree, carries out complex reasoning, deduction and computational analysis, is finally given The fatigue failure degree evaluation result of inservice pressure vessel.

Further, inservice pressure vessel vitals safe coefficient reasoning module implements the function of two aspects:

One, first pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build in-service pressure Force container vitals safe coefficient evaluation inference machine；

Two, the initial data in inservice pressure vessel initial data input module is input to the important portion of inservice pressure vessel In part safe coefficient evaluation inference machine, in-service pressure, based on the knowledge in inservice pressure vessel base module, is held by inference machine Think highly of and want piece safety degree, carry out complex reasoning, deduction and computational analysis, finally provide inservice pressure vessel vitals peace The evaluation result of whole process degree.

Further, inservice pressure vessel material safe coefficient reasoning module implements the function of two aspects:

One, first pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build in-service pressure Force container material safe coefficient evaluation inference machine；

Two, the initial data in inservice pressure vessel initial data input module is input to inservice pressure vessel material peace In full degree evaluation inference machine, inference machine is based on the knowledge in inservice pressure vessel base module, to inservice pressure vessel material Matter safe coefficient, carries out complex reasoning, deduction and computational analysis, finally provides the evaluation of inservice pressure vessel material safe coefficient Result.

Further, inservice pressure vessel internal medium safe coefficient reasoning module implements the function of two aspects:

One, first pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build in-service pressure Force container internal medium safe coefficient evaluation inference machine；

Two, the initial data in inservice pressure vessel initial data input module is input to inservice pressure vessel inner loop In the safe coefficient evaluation inference machine of border, in-service pressure, based on the knowledge in inservice pressure vessel base module, is held by inference machine Device internal medium safe coefficient, carries out complex reasoning, deduction and computational analysis, finally provides inservice pressure vessel internal medium peace The evaluation result of whole process degree.

Inservice pressure vessel comprehensive safety passes judgment on module by inservice pressure vessel planar disfigurement fracture assessment reasoning module The plane determined in the planar disfigurement fracture failure degree that determines, inservice pressure vessel planar disfigurement fatigue assessment reasoning module lacks Fall in fatigue failure degree, inservice pressure vessel vitals safe coefficient reasoning module determine vitals safe coefficient, Material safe coefficient in inservice pressure vessel material safe coefficient reasoning module and the safe journey of inservice pressure vessel internal medium Internal medium safe coefficient in degree reasoning module is input to inservice pressure vessel comprehensive safety and passes judgment in module, calculates in-service pressure The safe coefficient of force container, i.e.

Z=B V

In formula, V={v₁, v₂, v₃, v₄, v₅}={ is minimum, the least, little, greatly, bigger }, wherein v1 be inservice pressure vessel many because of Element lost efficacy dangerous minimum, and scoring interval is 90～100, and intermediate value is 95；v₂The least for danger, scoring interval is 80～89, Intermediate value is 84.5；The rest may be inferred；Select the intermediate value parameter as grade in each interval, then the parameter corresponding to 5 grades is { 95,84.5,74.5,64.5,49.5}, parameter column vector is ν={ 95,84.5,74.5,64.5,49.5}^T。, its Middle R is set of factors Subject Matrix, inservice pressure vessel planar disfigurement quantization modules, the fracture of inservice pressure vessel planar disfigurement comment Determine reasoning module, inservice pressure vessel planar disfigurement fatigue assessment reasoning module, inservice pressure vessel vitals safe coefficient Reasoning module, inservice pressure vessel material safe coefficient reasoning module and inservice pressure vessel internal medium safe coefficient reasoning Module can obtain；The vector formed for each index weights, from inservice pressure vessel base module.

The comprehensive safety evaluation system being applied to inservice pressure vessel that the present invention provides, is provided with inservice pressure vessel and knows Know library module, inservice pressure vessel safe evaluation criteria DBM, inservice pressure vessel initial data input module, in-service Pressure vessel planar disfigurement quantization modules, inservice pressure vessel planar disfigurement fracture assessment reasoning module, inservice pressure vessel are flat Planar defect fatigue assessment reasoning module, inservice pressure vessel vitals safe coefficient reasoning module, inservice pressure vessel material Safe coefficient reasoning module, inservice pressure vessel internal medium safe coefficient reasoning module, inservice pressure vessel comprehensive safety are commented Sentence module.The present invention, on the basis of Magnetic memory testing planar disfigurement quantization, carries out the calculating of science, reasoning and deduction, right Inservice pressure vessel has been carried out accurately, the comprehensive safety of specification and automatization is passed judgment on, it is ensured that the science of judge and reasonability, Improve the reliability of evaluation system, the present invention is by the mathematics related in the judge of inservice pressure vessel comprehensive safety, mechanics meter Calculation and Analysis process has been embedded in background process so that user need not possess professional mathematics, mechanical foundation and specialty Safety evaluation attainment, it is thus possible to widely for common engineers and technicians, there is the strongest practicality.Additionally, this Bright also by the data exchange interface set up between " Magnetic Memory-system " software, it is achieved that planar disfigurement length, depth quantization Function, preferably resolve cannot rationally, accurately, the problem that specification inservice pressure vessel carried out comprehensive safety judge.

Accompanying drawing explanation

Fig. 1 is the structural representation of the comprehensive safety evaluation system being applied to inservice pressure vessel that the embodiment of the present invention provides Figure；

In figure: 1, inservice pressure vessel base module；2, inservice pressure vessel safe evaluation criteria DBM；3、 Inservice pressure vessel initial data input module；4, inservice pressure vessel planar disfigurement quantization modules；5, inservice pressure vessel is put down Planar defect fracture assessment reasoning module；6, inservice pressure vessel planar disfigurement fatigue assessment reasoning module；7, inservice pressure vessel Vitals safe coefficient reasoning module；8, inservice pressure vessel material safe coefficient reasoning module；9, in inservice pressure vessel Portion's Environmental security degree reasoning module；10, inservice pressure vessel comprehensive safety passes judgment on module；

Fig. 2 is the planar disfigurement Failure Assessment schematic diagram that the embodiment of the present invention provides.

Detailed description of the invention

In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with embodiment, to the present invention It is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used to Limit the present invention.

Below in conjunction with the accompanying drawings and the application principle of the present invention is further described by specific embodiment.

As it is shown in figure 1, the comprehensive safety evaluation system being applied to inservice pressure vessel of the embodiment of the present invention mainly by Labour pressure vessel base module 1, inservice pressure vessel safe evaluation criteria DBM 2, inservice pressure vessel original number According to input module 3, inservice pressure vessel planar disfigurement quantization modules 4, inservice pressure vessel planar disfigurement fracture assessment reasoning mould Block 5, inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6, inservice pressure vessel vitals safe coefficient reasoning mould Block 7, inservice pressure vessel material safe coefficient reasoning module 8, inservice pressure vessel internal medium safe coefficient reasoning module 9, Inservice pressure vessel comprehensive safety is passed judgment on module 10 and is formed；

Inservice pressure vessel base module 1, for obtaining the material property parameter i.e. σ of inservice pressure vessel_s、σ_b、J_IC、 A、m、ΔK_th, weight vector corresponding to inservice pressure vessel set of factors, inservice pressure vessel fracture failure deciding degree data, Inservice pressure vessel fatigue failure deciding degree data, inservice pressure vessel vitals safe coefficient judges data, in-service pressure Force container material safe coefficient judges data, and inservice pressure vessel internal medium safe coefficient judges data；And by knowledge with " base Plinth knowledge " and " inferenctial knowledge " two kinds of forms be stored in the knowledge base of system, during for system-computed reasoning；

The safe evaluation criteria DBM 2 of inservice pressure vessel, with inservice pressure vessel planar disfigurement fracture assessment Reasoning module 5 and inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6 connect, and are used for storing country's evaluation criteria i.e. " with containing defect Safty Evaluation of Pressure Vessels " data, holds including the in-service fracture assessment containing defect pressure vessel, in-service pressure The fatigue assessment of device, the safety evaluation for inservice pressure vessel is offered reference；

Inservice pressure vessel initial data input module 3, with inservice pressure vessel planar disfigurement fracture assessment reasoning module 5 Connect with inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6, be used for inputting inservice pressure vessel model data, in-service Pressure vessel internal medium situation, inservice pressure vessel vitals situation, inservice pressure vessel material situation and in-service pressure Force container planar disfigurement position data；

Inservice pressure vessel planar disfigurement quantization modules 4, with inservice pressure vessel planar disfigurement fracture assessment reasoning module 5 Connect with inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6, for by setting up system and Magnetic memory testing data Analyze the data exchange interface between software, it is achieved the length of planar disfigurement, depth quantization function；

Inservice pressure vessel planar disfigurement fracture assessment reasoning module 5, is connected with inservice pressure vessel base module 1, For building inservice pressure vessel planar disfigurement fracture assessment inference machine, determine inservice pressure vessel fracture failure degree；

Inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6, is connected with inservice pressure vessel base module 1, For building inservice pressure vessel planar disfigurement fatigue assessment inference machine, determine inservice pressure vessel fatigue failure degree；

Inservice pressure vessel vitals safe coefficient reasoning module 7, is connected with inservice pressure vessel base module 1, Evaluate safely inference machine for building inservice pressure vessel vitals, determine the safe journey of inservice pressure vessel vitals Degree；

Inservice pressure vessel material safe coefficient reasoning module 8, is connected with inservice pressure vessel base module 1, is used for Build inservice pressure vessel material and evaluate safely inference machine, determine the safe coefficient of inservice pressure vessel material；

Inservice pressure vessel internal medium safe coefficient reasoning module 9, is connected with inservice pressure vessel base module 1, Evaluate safely inference machine for building inservice pressure vessel internal medium, determine inservice pressure vessel internal medium safe coefficient；

Inservice pressure vessel comprehensive safety passes judgment on module 10, with inservice pressure vessel planar disfigurement fracture assessment reasoning module 5 and inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6 connect, for dominant failure factor each to inservice pressure vessel Carry out fuzzy comprehensive evoluation, determine the safe coefficient of inservice pressure vessel.

In conjunction with following specific embodiment, the present invention is described further:

Embodiment 1: in FIG, the comprehensive safety evaluation system being applied to inservice pressure vessel of the present invention includes: in-service Pressure vessel base module 1, the safe evaluation criteria DBM 2 of inservice pressure vessel, inservice pressure vessel original number According to input module 3, inservice pressure vessel planar disfigurement quantization modules 4, inservice pressure vessel planar disfigurement fracture assessment reasoning mould Block 5, inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6, inservice pressure vessel vitals safe coefficient reasoning mould Block 7, inservice pressure vessel material safe coefficient reasoning module 8, inservice pressure vessel internal medium safe coefficient reasoning module 9 with And inservice pressure vessel comprehensive safety judge module 10；Below in conjunction with the accompanying drawings, respectively above 10 modules are described in detail:

Inservice pressure vessel base module 1: be mainly used in obtaining the material property parameter i.e. σ of this inservice pressure vessel_s、 σ_b、J_IC、A、m、ΔK_th, weight vector W corresponding to inservice pressure vessel set of factors, inservice pressure vessel fracture failure deciding degree Data, inservice pressure vessel fatigue failure deciding degree data, inservice pressure vessel vitals safe coefficient judges data, Labour pressure vessel material safe coefficient judges data, and inservice pressure vessel internal medium judges safely data；And by these knowledge It is stored in the knowledge base of system with " rudimentary knowledge " and " inferenctial knowledge " two kinds of forms, uses for during system-computed reasoning.Tool Body ground, cooperates by passing judgment on field with pressure vessel safety, excavates and collect the domain knowledge that relevant pressure vessel safety is passed judgment on, And after carrying out these knowledge screening, arranging, conclude, it is stored in knowledge base with " rudimentary knowledge " and " inferenctial knowledge " two kinds of forms In.Wherein, " rudimentary knowledge " is that a class is for illustrating attribute or the condition knowledge of object, such as: " in certain inservice pressure vessel Portion's temperature is 20MPa ", here it is a typical rudimentary knowledge, it reacts objective practical situation, and this kind of knowledge passes through one Simple two-dimentional relation table can be achieved with the storage in knowledge base；" inferenctial knowledge " is by certain patrolling by " rudimentary knowledge " The knowledge that volume composition of relations gets up and formed, can use production rule method (ProductionRules) to describe, its basic mould Formula is: IF<premise>THEN<conclusion>, such as: the internal temperature of IF<inservice pressure vessel is less than 50 DEG C>THEN<in-service pressure Vessel temp factor inefficacy danger is minimum >, " inferenctial knowledge " also stores with a two-dimentional relation table in knowledge base.Logical Cross and the knowledge in knowledge base is accessed, manages and safeguards, thus pass judgment on for pressure vessel safety and service is provided.

The safe evaluation criteria DBM 2 of inservice pressure vessel: be mainly used in storing country's evaluation criteria i.e. " with Containing defect Safty Evaluation of Pressure Vessels " data, comment including the fracture assessment of inservice pressure vessel, the fatigue of inservice pressure vessel Fixed, thus the safety evaluation for inservice pressure vessel is offered reference, i.e.

The fracture assessment of planar disfigurement, assessment method is that the method using Failure Assessment Diagrams is carried out, Failure Assessment Curves side Cheng Wei:

$K_r=(1-0.14L_r^2)(0.3+0.7e^{-0.65L_r^{\mathrm{\&beta;}}})$

The equation of vertical line is:

Value depend on properties of materials:

To austenitic stainless steel,

To without the mild steel of yield point elongation and austenitic stainless steel weld joint,

To without the low-alloy steel of yield point elongation and weld seam thereof,

For having the material of long yield point elongation,When material temperature is not higher than 200 DEG C,Can be according to K_r Value and material yield strength rank；

For not determining by steel classificationMaterial, can be calculated as followsValue:

$L_r^{\max }=\stackrel{-}{\mathrm{\&sigma;}}/{\mathrm{\&sigma;}}_s=0.5({\mathrm{\&sigma;}}_b+{\mathrm{\&sigma;}}_s)/{\mathrm{\&sigma;}}_s;$

Planar disfigurement Assessment Method for Fatigue:

Put down and be first depending on fatigue crack growth rate dadN and crack tip stress intensity factor amplitude of variation Δ K relational expression, determine propagation and the final size of fatigue crack in the cycle period of regulation；Then according to being given The criterion gone out and method, judge whether this planar disfigurement can occur leakage and fatigue fracture.

Inservice pressure vessel initial data input module 3: inservice pressure vessel model data, inservice pressure vessel inner loop Border situation, inservice pressure vessel vitals situation, inservice pressure vessel material situation and inservice pressure vessel planar disfigurement Position data；Wherein, inservice pressure vessel internal medium situation data include inservice pressure vessel internal pressure p or pressure change Curve data, inservice pressure vessel internal temperature, inservice pressure vessel internal gas or the corrosivity etc. of liquid；In-service pressure holds Think highly of and want parts scenarios data include inservice pressure vessel glue core service life and bear fatigue load number of times, inservice pressure vessel The service life of sealing ring and bear fatigue load number of times, the service life of inservice pressure vessel sealing ring and bear fatigue load Number of times, the service life of inservice pressure vessel hydraulic control oil circuit and bear fatigue load number of times；Inservice pressure vessel material feelings Condition data include that inservice pressure vessel materials processing quality, the inservice pressure vessel mechanical property of materials, inservice pressure vessel design Reasonability etc.；Inservice pressure vessel planar disfigurement position data includes that the internal diameter of pressure vessel at planar disfigurement place, plane lack Fall into the external diameter etc. of pressure vessel at place；Data above can be imported by data file, it is also possible to is entered by keyboard or mouse Row input.

Inservice pressure vessel planar disfigurement quantization modules 4: set up the data between system and " Magnetic Memory-system " software and hand over Alias, utilizes planar disfigurement length computation formula and the depth calculation formula of planar disfigurement to realize planar disfigurement length with deep The quantization of degree, i.e.

Planar disfigurement length computation formula:

$\begin{array}{c}{l}_{\max }=\max \left[\right|x_2-x_1|,|x_4-x_3|,{|x}_6-x_5|]\\ l_{\min }=\min \left[\right|x_2{-x}_1|,|x_4-x_3|,|x_6{-x}_5\left|\right]\\ l=0.95\frac{l_{\max }+l_{\min }}{2}\end{array}$

In formula: x₁First passage normal component crest location；

x₂First passage normal component wave trough position；

x₃Second channel normal component crest location；

x₄Second channel normal component wave trough position；

x₅Third channel normal component crest location；

x₆Third channel normal component wave trough position；

l_maxThe maximum of the spacing of first, second and third passage normal component crest and trough；

l_minThe minima of the spacing of first, second and third passage normal component crest and trough；

The length of l planar disfigurement.

The depth calculation formula of planar disfigurement:

H=0.048Hp_ymax-0.9955k-0.1343(1-2)

In formula: Hp_ymaxThe maximum of magnetic field normal component in magnetic memory detector first, second and third passage；

The maximum of magnetic field gradient in k magnetic memory detector first, second and third passage；

The degree of depth of h planar disfigurement.

Inservice pressure vessel planar disfigurement fracture assessment reasoning module 5: break by building inservice pressure vessel planar disfigurement Split evaluation inference machine, simulate inservice pressure vessel planar disfigurement fracture assessment field thinking, make inferences, deduce and calculate, really Determine the fracture failure degree of inservice pressure vessel, implement the function of two aspects: one, first pass through comprehensive utilization production Rule-based reasoning strategy and computation schema inference strategy, build inservice pressure vessel planar disfigurement fracture assessment inference machine.Wherein, Production rule reasoning is to utilize the knowledge in system knowledge base, makes inferences according to " IF-THEN " pattern；Computation schema reasoning It is to input required condition according to user, corresponding computation schema in search knowledge base automatically, and give after corresponding calculating Go out a kind of forward reasoning form of results needed.Two, by the initial data in inservice pressure vessel initial data input module 3 and The defective data that inservice pressure vessel planar disfigurement quantization modules 4 draws is input to inservice pressure vessel planar disfigurement fracture assessment In inference machine, inference machine is based on the knowledge in inservice pressure vessel base module 1, and the safety combining inservice pressure vessel is commented Calibrate the fracture safe evaluation data in quasi-DBM 2, to inservice pressure vessel fracture failure degree, comprehensively push away Reason, deduction and computational analysis, finally provide the fracture failure degree evaluation result of inservice pressure vessel, i.e.

Use K_rWith L_rCoordinate from the method that FAC curve is far and near, judges plane in planar disfigurement Failure Assessment schematic diagram The fracture failure degree of defect: as shown in Figure 2；

Inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6: tired by building inservice pressure vessel planar disfigurement Labor evaluation inference machine, simulates inservice pressure vessel planar disfigurement fatigue assessment field thinking, makes inferences, deduces and calculate, really Determine the fracture failure degree of inservice pressure vessel, implement the function of two aspects: one, first pass through comprehensive utilization production Rule-based reasoning strategy and computation schema inference strategy, build inservice pressure vessel planar disfigurement fatigue assessment inference machine.Wherein, Production rule reasoning is to utilize the knowledge in system knowledge base, makes inferences according to " IF-THEN " pattern；Computation schema reasoning It is to input required condition according to user, corresponding computation schema in search knowledge base automatically, and give after corresponding calculating Go out a kind of forward reasoning form of results needed.Two, by the initial data in inservice pressure vessel initial data input module 3 and The defective data that inservice pressure vessel planar disfigurement quantization modules 4 draws is input to inservice pressure vessel planar disfigurement fatigue assessment In inference machine, inference machine is based on the knowledge in inservice pressure vessel base module 1, and the safety combining inservice pressure vessel is commented Calibrate the fatigue safety evaluation data in quasi-DBM 2, by remanent fatigue life, plastic limit loads with can bear Residual compression, to inservice pressure vessel fatigue failure degree, to carry out complex reasoning, deduction and computational analysis, be finally given in-service The fatigue failure degree evaluation result of pressure vessel, i.e.

1) expection cycle-index the most permanent width fatigue stress circulation total degree

$N={\&Integral;}_{a_0}^{a_c}\frac{\mathrm{da}}{A{\left(\mathrm{\&Delta;k}\right)}^m}$

In formula: N inservice pressure vessel expection cycle-index the most permanent width fatigue stress circulation total degree；

a₀Initial crack depth size；

a_cCritical crack depth, crack depth at fracture size, 70% i.e. 0.7B of pressure force container wall thickness；

A, m material property parameter.

2) remanent fatigue life

N_s=N-N'

In formula: N_sThe inservice pressure vessel i.e. remanent fatigue life of cycles left number of times；

N' inservice pressure vessel cycle-index.

3) determination of plastic limit loads

$p_{L0}=\frac{2}{\sqrt{3}}\stackrel{-}{\mathrm{\&sigma;}}1n\left(\frac{R+B/2}{R-B/2}\right)$

In formula: p_L0The plastic limit loads of inservice pressure vessel；

' material flow stress, takes yield point σ of material under evaluation operating mode_sValue；

The mean radius of R inservice pressure vessel；

The calculated thickness of B inservice pressure vessel.

4) the highest allowable working pressure

p_max=p_L0

5) residual compression that can bear

P'=p_max-p"

In formula: the residual compression that p' inservice pressure vessel can bear；

P " the pressure that inservice pressure vessel has born.

Inservice pressure vessel vitals safe coefficient reasoning module 7: pacify by building inservice pressure vessel vitals Full degree evaluation inference machine, simulation inservice pressure vessel vitals safe coefficient evaluation field thinking, make inferences, deduce and Calculate, determine the safe coefficient of inservice pressure vessel vitals, implement the function of two aspects: one, first pass through comprehensive Conjunction utilizes production rule inference strategy and computation schema inference strategy, builds inservice pressure vessel vitals safe coefficient Evaluation inference machine.Wherein, production rule reasoning is to utilize the knowledge in system knowledge base, carries out according to " IF-THEN " pattern Reasoning；Computation schema reasoning is to input required condition according to user, corresponding computation schema in search knowledge base, and warp automatically A kind of forward reasoning form of results needed is given after crossing corresponding calculating.Two, inservice pressure vessel initial data is inputted mould Initial data in block 3 is input in inservice pressure vessel vitals safe coefficient evaluation inference machine, and inference machine is based on in-service Knowledge in pressure vessel base module 1, to inservice pressure vessel vitals safe coefficient, carries out complex reasoning, deduction And computational analysis, finally provide the evaluation result of inservice pressure vessel vitals safe coefficient.

Inservice pressure vessel material safe coefficient reasoning module 8: comment by building inservice pressure vessel material safe coefficient Determine inference machine, simulation inservice pressure vessel material safe coefficient evaluation field thinking, make inferences, deduce and calculate, determine The safe coefficient of labour pressure vessel material, implements the function of two aspects: one, first pass through comprehensive utilization production rule Inference strategy and computation schema inference strategy, build inservice pressure vessel material safe coefficient evaluation inference machine.Wherein, produce Formula rule-based reasoning is to utilize the knowledge in system knowledge base, makes inferences according to " IF-THEN " pattern；Computation schema reasoning is root Input required condition according to user, automatically corresponding computation schema in search knowledge base, and provide institute after corresponding calculating Need a kind of forward reasoning form of result.Two, the initial data in inservice pressure vessel initial data input module 3 is input to In inservice pressure vessel material safe coefficient evaluation inference machine, inference machine is based on knowing in inservice pressure vessel base module 1 Know, to inservice pressure vessel material safe coefficient, carry out complex reasoning, deduction and computational analysis, finally provide in-service pressure and hold The evaluation result of equipment matter safe coefficient.

Inservice pressure vessel internal medium safe coefficient reasoning module 9: by building inservice pressure vessel internal security journey Degree evaluation inference machine, simulation inservice pressure vessel internal medium safe coefficient evaluation field thinking, make inferences, deduce and count Calculate, determine the safe coefficient of inservice pressure vessel internal medium, implement the function of two aspects: one, first pass through comprehensively Utilize production rule inference strategy and computation schema inference strategy, build inservice pressure vessel internal medium safe coefficient and comment Determine inference machine.Wherein, production rule reasoning is to utilize the knowledge in system knowledge base, pushes away according to " IF-THEN " pattern Reason；Computation schema reasoning is to input required condition according to user, automatically corresponding computation schema in search knowledge base, and passes through A kind of forward reasoning form of results needed is given after corresponding calculating.Two, by inservice pressure vessel initial data input module 3 In initial data be input to inservice pressure vessel internal medium safe coefficient evaluation inference machine in, inference machine is based on in-service pressure Knowledge in container base module 1, to inservice pressure vessel internal medium safe coefficient, carries out complex reasoning, deduces and count Calculation and Analysis, finally provides the evaluation result of inservice pressure vessel internal medium safe coefficient.

Inservice pressure vessel comprehensive safety passes judgment on module 10: by inservice pressure vessel planar disfigurement fracture assessment reasoning module Determine in the planar disfigurement fracture failure degree that determines in 5, inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6 is flat The vitals safety determined in planar defect fatigue failure degree, inservice pressure vessel vitals safe coefficient reasoning module 7 Material safe coefficient in degree, inservice pressure vessel material safe coefficient reasoning module 8 and inservice pressure vessel internal medium Internal medium safe coefficient in safe coefficient reasoning module 9 is input to inservice pressure vessel comprehensive safety and passes judgment in module 10, Calculate the safe coefficient of inservice pressure vessel, i.e.

Z=B V

In formula, V={v₁, v₂, v₃, v₄, v₅}={ is minimum, the least, little, greatly, bigger }, wherein v1 be inservice pressure vessel many because of Element lost efficacy dangerous " minimum ", and scoring interval is 90～100, and intermediate value is 95；v₂For dangerous " the least ", scoring interval be 80～ 89, intermediate value is 84.5；The rest may be inferred.Select the intermediate value parameter as grade in each interval, then the parameter corresponding to 5 grades is { 95,84.5,74.5,64.5,49.5}, its parameter column vector is ν={ 95,84.5,74.5,64.5,49.5}^T。 Wherein R is set of factors Subject Matrix, inservice pressure vessel planar disfigurement quantization modules 4, inservice pressure vessel planar disfigurement break Split evaluation reasoning module 5, inservice pressure vessel planar disfigurement fatigue assessment reasoning module 6, inservice pressure vessel vitals peace Whole process degree reasoning module 7, inservice pressure vessel material safe coefficient reasoning module 8 and inservice pressure vessel internal medium safety Degree reasoning module 9 can obtain；W is the vector of each index weights composition, from inservice pressure vessel base module 1.

The invention provides concrete defect inspection method and quantifying defects formula, inservice pressure vessel is at each dominant failure Comprehensive safety under factor influence condition is passed judgment on；When carrying out safety evaluation, consider and affect inservice pressure vessel safety All principal elements, and clearly the connecting each other of each impact, it is possible to combine Non-Destructive Testing and realize planar disfigurement and quantify, and carry out Fracture, fatigue failure evaluation, and combine all principal elements affecting safety, the fuzzy synthesis carrying out pressure vessel is commented Sentence, draw the computer aided design system of its safe coefficient.

The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention Any amendment, equivalent and the improvement etc. made within god and principle, should be included within the scope of the present invention.

Claims (9)

1. the comprehensive safety evaluation system being applied to inservice pressure vessel, it is characterised in that this is applied to in-service pressure and holds The comprehensive safety evaluation system of device includes: inservice pressure vessel base module, inservice pressure vessel safe evaluation criteria data Library module, inservice pressure vessel initial data input module, inservice pressure vessel planar disfigurement quantization modules, inservice pressure vessel Planar disfigurement fracture assessment reasoning module, inservice pressure vessel planar disfigurement fatigue assessment reasoning module, inservice pressure vessel weight Want piece safety degree reasoning module, inservice pressure vessel material safe coefficient reasoning module, inservice pressure vessel internal medium Safe coefficient reasoning module, inservice pressure vessel comprehensive safety pass judgment on module；

Inservice pressure vessel base module, for obtaining the material property parameter i.e. σ of inservice pressure vessel_s、σ_b、J_IC、A、m、Δ K_th, wherein, σ_sFor the material yield point at a temperature of evaluation；σ_bFor the tensile strength of material, J at a temperature of evaluation_ICFor material settling out During crack extension Δ a > 0.2mm, corresponding to the fracture toughness of the material J integration of Δ a=0.2mm, A is that fatigue of materials crackle expands Exhibition speed and the coefficient in crack tip stress intensity factor excursion relational expression, m is material constant, Δ K_thFor stress intensity The threshold value of factor variations scope, the weight vector corresponding to inservice pressure vessel set of factorsInservice pressure vessel fracture failure Deciding degree data, inservice pressure vessel fatigue failure deciding degree data, inservice pressure vessel vitals safe coefficient is sentenced Determining data, inservice pressure vessel material safe coefficient judges data, and inservice pressure vessel internal medium safe coefficient judges data； And be stored in the knowledge base of system, during for system-computed reasoning with rudimentary knowledge and two kinds of forms of inferenctial knowledge；

The safe evaluation criteria DBM of inservice pressure vessel, with inservice pressure vessel planar disfigurement fracture assessment reasoning mould Block and inservice pressure vessel planar disfigurement fatigue assessment reasoning module connect, and are used for storing country's evaluation criteria i.e. " with containing lacking Fall into Safty Evaluation of Pressure Vessels " data, comment containing the fracture assessment of defect pressure vessel, the fatigue of inservice pressure vessel including in-service Fixed, the safety evaluation for inservice pressure vessel is offered reference；The i.e. fracture assessment of planar disfigurement, assessment method is commented for using inefficacy The method determining figure is carried out, and Failure Assessment Curves equation is:

$K_r=(1-0.14L_r^2)(0.3+0.7e^{-0.65L_r^{\mathrm{\&beta;}}})$

In formula: K_rPlanar disfigurement routine evaluation fracture ratio；

L_rLoading ratio；

E characterizes the eccentric throw burying the thick center of elliptical crack center deviation；

β calculates the intermediate variable used when bending secondary stress caused in butt welded joint because of angular deformation；

The equation of vertical line is:

In formula:Maximum loading ratio；

Value depend on properties of materials:

To austenitic stainless steel,

To without the mild steel of yield point elongation and austenitic stainless steel weld joint,

To without the low-alloy steel of yield point elongation and weld seam thereof,

For having the material of long yield point elongation,When material temperature is not higher than 200 DEG C,Can be according to K_rValue and Material yield strength rank；

For not determining by steel classificationMaterial, can be calculated as followsValue:

$L_r^{\max }=\stackrel{\&OverBar;}{\mathrm{\&sigma;}}/{\mathrm{\&sigma;}}_s=0.5({\mathrm{\&sigma;}}_b+{\mathrm{\&sigma;}}_s)/{\mathrm{\&sigma;}}_s;$

In formula:Maximum loading ratio；

The flow stress of material at a temperature of evaluation；

σ_sMaterial yield point at a temperature of evaluation；

σ_bThe tensile strength of material at a temperature of evaluation；

Planar disfigurement Assessment Method for Fatigue:

It is first depending on fatigue crack growth rate da/dN and crack tip stress intensity factor amplitude of variation Δ K relational expressionIn formula: A is fatigue of materials crack growth rate and the coefficient in Δ K relational expression, and m is material constant, really It is scheduled on propagation and the final size of fatigue crack in the cycle period of regulation；Then according to given criterion and side Method, judges whether this planar disfigurement can occur leakage and fatigue fracture；

Inservice pressure vessel initial data input module, with inservice pressure vessel planar disfigurement fracture assessment reasoning module and in-service Pressure vessel planar disfigurement fatigue assessment reasoning module connects, and is used for inputting inservice pressure vessel model data, and in-service pressure holds Device internal medium situation, inservice pressure vessel vitals situation, inservice pressure vessel material situation and inservice pressure vessel Planar disfigurement position data；

Inservice pressure vessel planar disfigurement quantization modules, with inservice pressure vessel planar disfigurement fracture assessment reasoning module and in-service Pressure vessel planar disfigurement fatigue assessment reasoning module connects, for by setting up system and Magnetic memory testing data analysis software Between data exchange interface, it is achieved the length of planar disfigurement, depth quantization function；

Inservice pressure vessel planar disfigurement fracture assessment reasoning module, is connected with inservice pressure vessel base module, for structure Build inservice pressure vessel planar disfigurement fracture assessment inference machine, determine inservice pressure vessel fracture failure degree；

Inservice pressure vessel planar disfigurement fatigue assessment reasoning module, is connected with inservice pressure vessel base module, for structure Build inservice pressure vessel planar disfigurement fatigue assessment inference machine, determine inservice pressure vessel fatigue failure degree；

Inservice pressure vessel vitals safe coefficient reasoning module, is connected with inservice pressure vessel base module, for structure Build inservice pressure vessel vitals and evaluate safely inference machine, determine the safe coefficient of inservice pressure vessel vitals；

Inservice pressure vessel material safe coefficient reasoning module, is connected with inservice pressure vessel base module, for building Labour pressure vessel material evaluates safely inference machine, determines the safe coefficient of inservice pressure vessel material；

Inservice pressure vessel internal medium safe coefficient reasoning module, is connected with inservice pressure vessel base module, for structure Build inservice pressure vessel internal medium and evaluate safely inference machine, determine inservice pressure vessel internal medium safe coefficient；

Inservice pressure vessel comprehensive safety passes judgment on module, with inservice pressure vessel planar disfigurement fracture assessment reasoning module and in-service Pressure vessel planar disfigurement fatigue assessment reasoning module connects, and obscures for dominant failure factor each to inservice pressure vessel Comprehensive Evaluation, determines the safe coefficient of inservice pressure vessel.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container internal medium situation data include inservice pressure vessel internal pressure p or pressure history data, in-service pressure appearance Device internal temperature, inservice pressure vessel internal gas or the corrosivity of liquid；Inservice pressure vessel vitals situation packet Include inservice pressure vessel glue core service life and bear fatigue load number of times, the service life of inservice pressure vessel sealing ring and hold By fatigue load number of times, the service life of inservice pressure vessel sealing ring with bear fatigue load number of times, inservice pressure vessel liquid Press the service life of oil circuit control and bear fatigue load number of times；Inservice pressure vessel material situation data include that in-service pressure holds Equipment material crudy, the inservice pressure vessel mechanical property of materials, inservice pressure vessel design rationality；Inservice pressure vessel is put down Planar defect position data includes the external diameter of pressure vessel at the internal diameter of pressure vessel at planar disfigurement place, planar disfigurement place.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 2, it is characterised in that for defeated Enter inservice pressure vessel model data, inservice pressure vessel internal medium situation, inservice pressure vessel vitals situation, in-service Pressure vessel material situation and inservice pressure vessel planar disfigurement position data are entered by data file importing, keyboard or mouse Row input.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container planar disfigurement quantization modules utilizes planar disfigurement length computation formula to realize with the depth calculation formula of planar disfigurement Planar disfigurement length and the quantization of the degree of depth, i.e.

Planar disfigurement length computation formula:

l_max=max [| x₂-x₁|,|x₄-x₃|,|x₆-x₅|]

l_min=min [| x₂-x₁|,|x₄-x₃|,|x₆-x₅|]

$l=0.95\frac{l_{max}+l_{\min }}{2}$

In formula: x₁First passage normal component crest location；

x₂First passage normal component wave trough position；

x₃Second channel normal component crest location；

x₄Second channel normal component wave trough position；

x₅Third channel normal component crest location；

x₆Third channel normal component wave trough position；

l_maxThe maximum of the spacing of first, second and third passage normal component crest and trough；

l_minThe minima of the spacing of first, second and third passage normal component crest and trough；

The length of l planar disfigurement；

The depth calculation formula of planar disfigurement:

H=0.048Hp_ymax-0.9955k-0.1343

In formula: Hp_ymaxThe maximum of magnetic field normal component in magnetic memory detector first, second and third passage；

The maximum of magnetic field gradient in k magnetic memory detector first, second and third passage；

The degree of depth of h planar disfigurement.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container planar disfigurement fracture assessment reasoning module implements the function of two aspects:

First pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build inservice pressure vessel and put down Planar defect fracture assessment inference machine；

By the initial data in inservice pressure vessel initial data input module and inservice pressure vessel planar disfigurement quantization modules The defective data drawn is input in inservice pressure vessel planar disfigurement fracture assessment inference machine, and inference machine holds based on in-service pressure Knowledge in device base module, and the fracture safe combined in the safe evaluation criteria DBM of inservice pressure vessel comments Determine data, to inservice pressure vessel fracture failure degree, carry out complex reasoning, deduction and computational analysis, finally provide in-service pressure The fracture failure degree evaluation result of force container.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container planar disfigurement fatigue assessment reasoning module implements the function of two aspects:

First pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build inservice pressure vessel and put down Planar defect fatigue assessment inference machine；

By the initial data in inservice pressure vessel initial data input module and inservice pressure vessel planar disfigurement quantization modules The defective data drawn is input in inservice pressure vessel planar disfigurement fatigue assessment inference machine, and inference machine holds based on in-service pressure Knowledge in device base module, and the fatigue safety combined in the safe evaluation criteria DBM of inservice pressure vessel comments Determine data, to inservice pressure vessel fatigue failure degree, carry out complex reasoning, deduction and computational analysis, finally provide in-service pressure The fatigue failure degree evaluation result of force container.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container vitals safe coefficient reasoning module implements the function of two aspects:

First pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build inservice pressure vessel weight Want piece safety degree evaluation inference machine；

Initial data in inservice pressure vessel initial data input module is input to inservice pressure vessel vitals safety In degree evaluation inference machine, inference machine is based on the knowledge in inservice pressure vessel base module, important to inservice pressure vessel Piece safety degree, carries out complex reasoning, deduction and computational analysis, finally provides inservice pressure vessel vitals safe coefficient Evaluation result.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container planar disfigurement fatigue safety degree reasoning module implements the function of two aspects:

First pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build inservice pressure vessel and put down Planar defect fatigue safety degree evaluation inference machine；

Initial data in inservice pressure vessel initial data input module is input to inservice pressure vessel planar disfigurement tired In safe coefficient evaluation inference machine, inference machine is based on the knowledge in inservice pressure vessel base module, to inservice pressure vessel Planar disfigurement fatigue safety degree, carries out complex reasoning, deduction and computational analysis, finally provides inservice pressure vessel planar disfigurement The evaluation result of fatigue safety degree；I.e.

1) expection cycle-index the most permanent width fatigue stress circulation total degree:

$N={\&Integral;}_{a_0}^{a_c}\frac{da}{A{\left(\mathrm{\&Delta;}k\right)}^m}$

In formula: N inservice pressure vessel expection cycle-index the most permanent width fatigue stress circulation total degree；

Δ K is crack tip stress intensity factor amplitude of variation；

a₀Initial crack depth size；

a_cCritical crack depth, crack depth at fracture size, 70% i.e. 0.7B of pressure force container wall thickness；

The derivative of da crack depth size；

A, m material property parameter；

2) remanent fatigue life:

N_s=N-N'

In formula: N_sThe inservice pressure vessel i.e. remanent fatigue life of cycles left number of times；

N' inservice pressure vessel cycle-index；

3) determination of plastic limit loads:

$p_{L0}=\frac{2}{\sqrt{3}}{\stackrel{\&OverBar;}{\mathrm{\&sigma;}}}^{\&prime;}\ln \left(\frac{R+B/2}{R-B/2}\right)$

In formula: p_L0The plastic limit loads of inservice pressure vessel；

Material flow stress, takes yield point σ of material under evaluation operating mode_sValue；

The mean radius of R inservice pressure vessel；

The calculated thickness of B inservice pressure vessel；

4) the highest allowable working pressure:

p_max=p_L0

5) residual compression that can bear:

P'=p_max-p"

In formula: the residual compression that p' inservice pressure vessel can bear；

P " the pressure that inservice pressure vessel has born；

p_maxThe highest allowable working pressure.

It is applied to the comprehensive safety evaluation system of inservice pressure vessel the most as claimed in claim 1, it is characterised in that in-service pressure Force container internal medium safe coefficient reasoning module implements the function of two aspects:

First pass through comprehensive utilization production rule inference strategy and computation schema inference strategy, build in inservice pressure vessel Portion's Environmental security degree evaluation inference machine；

Initial data in inservice pressure vessel initial data input module is input to inservice pressure vessel internal medium safety In degree evaluation inference machine, inference machine is based on the knowledge in inservice pressure vessel base module, to inservice pressure vessel inside Environmental security degree, carries out complex reasoning, deduction and computational analysis, finally provides inservice pressure vessel internal medium safe coefficient Evaluation result；

Inservice pressure vessel comprehensive safety is passed judgment on module and will be determined in inservice pressure vessel planar disfigurement fracture assessment reasoning module Planar disfigurement fracture failure degree, the planar disfigurement that determines in inservice pressure vessel planar disfigurement fatigue assessment reasoning module tired The vitals safe coefficient that determines in labor failure degree, inservice pressure vessel vitals safe coefficient reasoning module, in-service Material safe coefficient and inservice pressure vessel internal medium safe coefficient in pressure vessel material safe coefficient reasoning module push away Internal medium safe coefficient in reason module is input to inservice pressure vessel comprehensive safety and passes judgment in module, calculates in-service pressure and holds The safe coefficient of device, i.e.

Z=B V

In formula, V={v₁, v₂, v₃, v₄, v₅}={ is minimum, the least, little, greatly, bigger }, wherein v₁Multifactor for inservice pressure vessel Losing efficacy dangerous minimum, scoring interval is 90～100, and intermediate value is 95；v₂The least for danger, scoring interval is 80～89, in Value is 84.5；The rest may be inferred；Select the intermediate value parameter as grade in each interval, then the parameter corresponding to 5 grades be 95, 84.5,74.5,64.5,49.5}, parameter column vector is ν={ 95,84.5,74.5,64.5,49.5}^T,Wherein R For set of factors Subject Matrix, by inservice pressure vessel planar disfigurement quantization modules, inservice pressure vessel planar disfigurement fracture assessment Reasoning module, inservice pressure vessel planar disfigurement fatigue assessment reasoning module, inservice pressure vessel vitals safe coefficient push away Reason module, inservice pressure vessel material safe coefficient reasoning module and inservice pressure vessel internal medium safe coefficient reasoning mould Block can obtain；The vector formed for each index weights, from inservice pressure vessel base module.