CN109992900A - A kind of more real-time online cooperative intelligent emulation modes of mass concrete and system - Google Patents
A kind of more real-time online cooperative intelligent emulation modes of mass concrete and system Download PDFInfo
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Abstract
The invention discloses a kind of more real-time online cooperative intelligent emulation modes of mass concrete and systems.The described method includes: step S1: perception step, model foundation and true perception input；Step S2: analytical procedure, undetermined parameter initialization and Simulation Analysis；Step S3: evaluation procedure, the evaluation of simulation result validity；Step S4: feedback step, simulation result judgement are adjusted with process optimization；Step S5: rate-determining steps carry out closed loop intelligent control；Step S6: learning procedure learns abovementioned steps, starts new circulation.Dynamic circulation through the above steps, improve the application efficiency of frequency, precision and simulation result that traditional simulation is analyzed, it realizes and true perception, intellectual analysis and the dynamic of simulation object is controlled, can be applied to large-scale building, the construction of water conservancy Structural Engineering intelligence, Life cycle simulation analysis etc..
Description
[technical field]
The invention belongs to more real-time onlines of data simulation technical field more particularly to a kind of mass concrete to cooperate with intelligence
It can emulation mode and system.
[background technique]
With Internet of Things, automatic control technology, intellectual technology, computer simulation technique, cloud computing and big data processing etc.
The development of generation information technology has promoted the large-scale construction projects such as China's building, water conservancy from mechanization, has automated to number
Change, intelligent transformation.Currently, intelligent construction has become the important model that engineering construction field is actively advocated.At the same time,
The property evolution of large volume concrete structural Life cycle and security control, which also become in engineering construction and operational process, to be compeled
It is essential and solves basic theory method problem certainly.One of key problem therein is how to obtain engineering structure in present load
Real work condition under operating condition.So-called real work condition is exactly to be considered certainly based on the simulating analysis such as finite element
The true load such as weight, temperature, humidity, with strain, displacement etc. monitoring materials inverting engineering foundation and concrete major parameter,
For analogue simulation engineering structure from the first storehouse concreting up to engineering builds up the overall process of operation, panorama reproduces engineering structure certainly
Construction time is and true strong with concrete to work conditions such as the temperature field of longtime running phase, seepage field, displacement and stress fields
Degree is to evaluate whether the current work condition of arch dam meets the requirements.
In order to realize the real-time perception to engineering structure Life cycle work condition, true analysis and intelligent control, lead to
Various sensors can be often buried inside engineering structure, can be carried out various performance tests to construction material, be realized with this to engineering
The overall perception of structural behaviour；But due to the constraint of cost, convenience for construction etc., we can not be to heavy construction structure etc.
Object carries out universe and intensively monitors, therefore just needs based on finite data, in conjunction with some priori knowledges, engineering experience and monitoring number
According to progress simulation calculation, and then release the information of object universe.What universe referred to is exactly the complete period multiple features of entire 3D solid
Dimension, information just refer to temperature, stress etc. more, and here it is the processes that simulation analysis is carried out to engineering object；Furthermore in order to true
Engineering safety is protected, efficiently, economically builds up and runs, on the basis of perception and analysis, we also need to engineering structure
State carries out intervention control, so that the state of engineering structure constantly develops towards more preferably direction.
Have become large-scale building using finite element as the calculating of the simulation analysis of representative, Hydraulic Engineering Design, construction period can not
Or scarce tool method.But there are still following defects for current simulation analysis calculation method: simulation analysis validity is inadequate, calculates knot
Fruit confidence level is not high；Time-consuming for simulation analysis, and computational efficiency is low, it is difficult to realize the real-time feedback control to engineering；Shortcoming monitoring,
Emulation, control integration, can dynamic learning update system and method.The present invention is directed to propose a kind of mass concrete more
Real-time online cooperative intelligent emulation mode passes through the dynamic of sensing layer, analysis layer, evaluation layer, feedback layer, control layer and learning layer
Circulation improves frequency, the application efficiency of validity and simulation result of traditional simulation analysis, realizes to simulation object
True perception, intellectual analysis and dynamic control, and can be applied to large-scale building, water conservancy Structural Engineering is intelligently built, Life cycle
Simulation analysis etc..Real-time boundary value is introduced, the demand according to scene is intelligently automatic, rather than previous one day or fixation in one week
It is complete can also to carry out calculating analytical calculation according to the mutation of unexpected boundary according to the time t interval calculation of definition for time simulation calculation
The water flowing strategy of real time new is controlled afterwards, improves the efficiency of system emulation.
[summary of the invention]
In order to solve the above problem in the prior art, the invention proposes a kind of more real-time onlines of mass concrete
Cooperative intelligent emulation mode, which comprises
Step S1: perception step, model foundation and true perception input；
Step S2: analytical procedure, undetermined parameter initialization and Simulation Analysis；
Step S3: evaluation procedure, the evaluation of simulation result validity；
Step S4: feedback step, simulation result judgement are adjusted with process optimization；
Step S5: rate-determining steps carry out closed loop intelligent control；
Further, the step S1 is specifically included:
Step S11: material parameter input, the material parameter are mainly obtained by various performance tests；
Step S12: monitoring data input, the monitoring data are mainly obtained by various sensors；
Step S13: Building of Simulation Model, the simulation model are referred mainly to based on the practical geometry of object, boundary condition and choosing
The numerical model of the object of fixed calculation method building, it usually needs the processes such as experience geometrical model building, mesh generation.
Step S14: load boundaries simulation, the load boundaries simulation are referred mainly to for object in local environment under the conditions of institute
The simulation of the various loads and boundary condition that bear.
Further, the step S2 is specifically included:
Step S21: undetermined parameter initialization.Parameter a part needed for simulation analysis calculating is inputted in real time by S1,
Remaining required undetermined parameter is initialized.The initial default value of undetermined parameter can give section according to practical engineering experience
Range and change step, the selection rule of the undetermined parameter initial value can carry out intelligence learning to establish expert knowledge library.No
The undetermined parameter that same calculated examples are initialized is different, such as when to dam foundation overall structure progress Simulation Analysis
When, the elasticity modulus of concrete, linear expansion coefficient, the elasticity modulus of surface heat transfer coefficient and basement rock, infiltration coefficient etc., lead to
The true value often not determined when S1 sensing layer inputs needs to be initialized before calculating as undetermined parameter.
Step S22: calculation method selection.Calculation method refers mainly to the choosing of method for numerical simulation, model dimension, constitutive relation
It selects.Different research object and problem types are needed to take different calculation methods, wherein common method for numerical simulation
Including finite element, extension finite element, discrete element, mesh free etc.；Common model dimension includes small scale, mesoscale, large scale
Deng；Common constitutive relation includes linear elasticity constitutive relation, elastic-plastic constitutive relation, fracture-damage model etc..
Step S23: Simulation Analysis.Based on this calculate S1 sensing layer input and S21 undetermined parameter value and
The calculation method of use, using simulation software carry out Simulation Analysis, simulation software need according to different calculation methods into
Row selection.Simulation calculation can be calculated using the CPU or GPU of computer, calculate the configuration of required time step-length accordingly to meet
Computing resource.
Further, the step S3 is specifically included:
Step S31: the foundation of object time of day database.The time of day of the object refers to the real work of object
Condition, the object time of day database is mainly by the reflection object time of day by the means acquisition such as monitoring, test
Data summarization is formed.Meeting buries the online prison of sensor development to the deformation of dam, stress index such as in hydraulic engineering construction
It surveys, and indoor or field test can be carried out to the tension of concrete, compression strength etc..
Step S32: validity calculates the determination with control standard.Emulation is one and utilizes the unlimited approaching to reality of numerical model
The process of physical world, the validity are the indexs of figure of merit model emulation result Yu object time of day degree of agreement.
Calculation criterion such as using the mean absolute error index of simulation result and object time of day data as validity, then
The grading control of special object particular problem validity is aggregated to form by historical data base, priori sex knowledge, expertise etc.
Standard.Such as the hydraulic engineering dam construction phase is emulated, simulated stress regards within 0.2MPa with monitor stress mean absolute error
It is met the requirements for validity, can be used for subsequent control and displaying etc..
Step S33: the validity evaluation of simulation result.Utilize current simulation result data and object time of day number
According to library data, validity is calculated with validity calculation criterion, by validity and control Comparison of standards, carry out the evaluation of validity with
Classification.
Further, the step S4 is specifically included:
Step S41: judging whether validity meets preset condition, if it is, entering step S42；Otherwise, it enters step
S43；
Preset condition can be the constraint condition of evaluation and classification to validity；
Step S42: S5 is entered step；
Step S43: return step S1 to check the accuracy that perception step determines parameter input and model foundation again,
The value for readjusting the undetermined parameter of analytical procedure S2, re-starts calculating, multiple adjustment circulation, until validity meets in advance
If condition.
Further, the step S5 is specifically included:
Step S51: the determination of goal-selling state of a control.The goal-selling state of a control refer to based on project progress,
The targets such as quality, safety, economy, by the optimum state for the object that design or scientific research institution determine.The state is often with design
Standard or the form of national regulation provide, and are usually calculated by history engineering experience, simulation analysis, data analysis and optimization are calculated
Method determines.Such as in building, water conservancy engineering discipline, it will usually provide safety coefficient as control standard, safety coefficient is pair
The security level of the intensity of elephant and the ratio of actual stress value, object is different, and safety coefficient controlling value is also different.In real-time online
Under conditions of emulation, may be based on the historical state data and current status data of object, using priori knowledge, expertise,
The virtual a variety of possible situations of the methods of artificial intelligence, comparison optimization calculate the optimum state for generating object, i.e., current is pre- in real time
If target control state.Such as by taking the temperature field of dam as an example, goal-selling state of a control be exactly dam under current state most
Excellent Temperature Distribution can be obtained at present by simulation calculation stage.
Step S52: the calculating of current state and goal-selling state of a control deviation.Meet validity with step S4 output
It is required that simulation result as benchmark, ask poor with goal-selling state of a control, obtain the deviation that needs regulate and control.Deviation can be with
Calculated based on the final Con trolling index such as safety coefficient field, cracking risk field, further calculate be the intensity field of object, stress field and
The deviation of displacement field, further calculate be the temperature field of object, moisture field, quality field, field of creeping, seepage field deviation
Value.
Step S53: different intelligent system is calculated for the contribution proportion of deviation.For regulation and control object current state and preset
The deviation of target control state can be used multi intelligent agent linkage and carry out correction control.The contribution proportion can pass through current shape
The emulation history file of state obtains.Such as by reading simulation stress calculation file, the stress value that different load fields generate is read, into
And the relative scale for calculating different load fields generation stress has obtained different load station control systems for stress-deviation value
Contribution proportion.
Step S54: multi intelligent agent linkage intelligent control.Different intelligent system is primarily based on for the contribution ratio of deviation
Deviation is distributed to different intelligence systems by example, is regulated and controled by the closed loop that intelligence system completes corresponding deviation.With inclined to stress
For the regulation of difference, stress-deviation value is distributed into different intelligence systems based on contribution proportion first, then by corresponding intelligence
Energy system completes the control to distribution stress-deviation, and the intelligence system realized at present in hydraulic engineering construction includes intelligent temperature control
System, the achievable control to dam temperature field；Intelligent casting system, the achievable control to dam quality field, specifically includes
The control of dam construction progress and intermittent phase, multi intelligent agent are answered for the correction of the same target, that is, stress-deviation value always
Under the premise of the regulation of power deviation is met the requirements, allocation proportion can be based on the linkage adjustment of practical regulating effect.
Step S55: early-warning and predicting.It is abnormal when occurring in practical control process, cause system that can not complete by set objective
When closed-loop control, produces early-warning and predicting information and be pushed to incumbent institution, apply for manual intervention.
Step S56: human-computer interaction.Under current technological conditions, it can be realized when without corresponding intelligence system to distribution deviation
In the case that value carries out closed-loop control, man-machine interactive operation can be taken to complete corresponding control.
Step S57: more show.Described more show the object current state and goal-selling for referring mainly to certain validity
The three-dimensional visualization of state is expressed.Described more temperature field, moisture field, quality field, fields of creeping, seepage field including object；It is right
Intensity field, stress field and the displacement field of elephant；Safety coefficient field and cracking risk field of object etc..
Further, further include step S6: learning procedure learns above-mentioned steps, starts new circulation.
Further, the step S6 is specifically included:
Step S61: intelligence learning is carried out to step S1~S5；
Step S62: perceiving new Obj State again, analyzes, evaluation, adjustment and control.
Further, sensing module, for model foundation and true perception input；
Analysis module, for undetermined parameter initialization and Simulation Analysis；
Evaluation module is evaluated for simulation result validity；
Feedback module is adjusted for simulation result judgement with process optimization；
Control module, for carrying out closed loop intelligent control.
Further, further include study module, for learning to above-mentioned steps, start new circulation.
The present invention is improved by the dynamic circulation of sensing layer, analysis layer, evaluation layer, feedback layer, control layer and learning layer
The application efficiency of frequency, precision and simulation result that traditional simulation is analyzed is realized to the true perception of simulation object, intelligence
Analysis and dynamic control, and can be applied to large-scale building, the construction of water conservancy Structural Engineering intelligence, Life cycle simulation analysis etc..Draw
Entering real-time boundary value, the demand according to scene is intelligently automatic, rather than previous one day or one week set time simulation calculation,
According to the time t interval calculation of definition, it can also be mutated according to unexpected boundary and calculate the logical of the complete rear real time new of analytical calculation
Water strategy is controlled, and the efficiency of system emulation is improved.
[Detailed description of the invention]
In order to illustrate the embodiments of the present invention more clearly, attached drawing needed in the embodiment will be done simply below
It introduces, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ordinary skill people
For member, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the structural representation of more real-time online cooperative intelligent analogue systems of mass concrete provided by the invention
Figure；
Fig. 2 is the Temperature calculating schematic diagram of an embodiment provided by the invention；
Fig. 3 is the stress field calculation schematic diagram of an embodiment provided by the invention；
[specific embodiment]
Come that the present invention will be described in detail below in conjunction with attached drawing and specific embodiment, illustrative examples therein and says
It is bright to be only used to explain the present invention but not as a limitation of the invention.
Core of the invention is to provide a kind of more real-time online cooperative intelligent emulation modes of mass concrete, in order to make
Those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description make the present invention into one
The detailed description of step.
Step S1: perception step, including perception input and model foundation；Specifically include following 4 steps；
Step S11: material parameter perception and monitoring data input；Specifically: material parameter is obtained by performance test；Pass through
The sensor of site layout project acquires all kinds of field datas；
The step S11 further include: the field data of acquisition is checked, is pre-processed；It will be by material parameter and pre-
The field data of processing saves in the database；
Preferred: the database is located at Cloud Server；
It is preferred: all kinds of field datas of the acquisition, specifically: by the method for monitoring to the acquisition device at all kinds of scenes
Data acquisition request is sent, and receives the field data sent back from all kinds of collection in worksite devices；It is obtained for being unable to monitor
The data taken are tested to obtain field data；
It is preferred: it is described experiment for carry out site environment build after carry out experiment acquisition or by way of emulation into
Row experiment obtains；
Preferred: the field data includes: dam intensity, temperature, transverse joint aperture；The elasticity of basic difference rock mass tomography
The material parameters such as modulus；
It is preferred: the current basic feelings checked to examine the data value of the field data whether to meet the scene
Condition；Such as；Scene is summer, and collected temperature value is subzero 10 degree；By checking it can be found that such abnormal conditions；
It is preferred: the pretreatment for by the format of field data be converted to scheduled unified format, to field data into
The filling etc. of row default value；
Step S12: setting boundary condition；Specifically: all kinds of boundary conditions are obtained by real simulation；For simulation process
Involved in temperature field, the governing equation in temperature field is the equation of heat conduction；When calculating temperature field by the equation, it is fixed to need to provide
Solution condition, i.e. primary condition and boundary condition；Primary condition description calculates the spatial distribution rule that initial time solves domain temperature field
Rule；Boundary condition then describes to solve the interaction in domain and boundary medium；
For temperature field FEM calculation, monitoring should provide definite condition, comprising: placement temperature；Real-time database water
Temperature, underground heat；Real-time temperature, sunshine, wind speed, insulation board and template surface exothermic coefficient etc..Placement temperature belongs to primary condition；
Library coolant-temperature gage and underground heat belong to First Boundary Condition, and basic surrounding is thought in calculating and bottom is therefore adiabatic boundary can not be examined
Consider underground heat；Concrete surface is exposed in air or with template when belongs to third boundary condition.For stress field calculation, by
Saint Venant's principle obtains, and basement rock surrounding and bottom are generally defined as three-dimensional constraint.
Preferred: the boundary condition includes the boundary conditions such as solar radiation, environment temperature, ambient humidity, ambient humidity；
Preferred: the boundary condition includes First Boundary Condition, second kind boundary condition, third boundary condition；
Preferred: the third boundary condition is convection boundary condition；
(1) First Boundary Condition: solving the known function that boundary temperature T in domain is time τ,
T=Tb(x, y, z, τ) (1)
In formula: T is boundary temperature；TbFor the boundary temperature function with space at any time；(x, y, z) is space three-dimensional seat
Mark；τ is the time；
When concrete is directly contacted with water, belong to First Boundary Condition.At this time, it is believed that the surface temperature is equal to water
Temperature.When using steel pipe cooling, since thermal resistance is smaller, same be believed that is equal to coolant water temperature with steel pipe contact surface.
(2) second kind boundary condition；Solve domain boundary heat flow qbFor the known function of time τ, expression are as follows:
In formula: T is boundary temperature；qbFor boundary heat flow；(x, y, z) is 3 d space coordinate；τ is the time；N is surface
Exterior normal direction；λ is thermal coefficient, kJ/ (mh DEG C).
(3) third boundary condition；The difference for solving domain boundary heat flow and boundary temperature T and ambient temperature Ta is directly proportional,
Direction is contrary with temperature gradient, expression are as follows:
In formula: β is surface heat transfer coefficient, kJ/ (m2h DEG C).When concrete is exposed to air or whens with template etc.,
Belong to third boundary condition；
T is boundary temperature；Ta is ambient temperature；N is surface exterior normal direction；λ is thermal coefficient, kJ/ (mh DEG C)；
β is surface heat transfer coefficient, kJ/ (m2h DEG C).
Step S13: true model is established；Specifically: choose archetype；It is based on actual construction feelings in the construction process
Condition is to the modification of archetype to obtain stage model；In the process of running based on operating condition and environmental change to stage model
It modifies to obtain true model.
Preferred: the archetype is from the original design stage；
Preferred: the operational process includes reservoir area water storage level, operation conditions, environmental change of unit etc. in dam；
It is cooperateed with and is participated in by the multistage, dynamic adjustment guarantees the authenticity of dam foundation overall model；
Step S14: Load Simulation is carried out to true model；Environmental condition is arranged to true model, to described set
The simulation of load and boundary condition is carried out under environmental condition；
The Load Simulation includes: the real simulation of permanent load, variable load, accidental load etc.；It is related in simulation process
And crustal stress, gravity load, water pressure, temperature load, drying shrinkage, seepage flow, earthquake, transverse joint folding, grouting pressure etc.；
Step S2: analytical procedure, comprising: undetermined parameter initialization and Simulation Analysis；Specifically comprise the following steps:
Step S21: undetermined parameter initialization；Parameter a part needed for simulation analysis calculating is obtained by step S1,
Remaining required undetermined parameter is initialized.
The initial default value of undetermined parameter can give interval range and change step according to practical engineering experience, described undetermined
The selection rule of initial parameter value can carry out intelligence learning to establish expert knowledge library.Different calculated examples need to carry out initial
The undetermined parameter of change is different, such as when carrying out Simulation Analysis to dam foundation overall structure, the elasticity modulus of concrete, and line expansion
The elasticity modulus of coefficient, surface heat transfer coefficient and basement rock, infiltration coefficient etc. are not determined when S1 sensing layer inputs usually
True value, need to be initialized before calculating as undetermined parameter.
Step S22: calculation method selection.Calculation method refers mainly to the choosing of method for numerical simulation, model dimension, constitutive relation
It selects.Different research object and problem types are needed to take different calculation methods, wherein common method for numerical simulation
Including finite element, extension finite element, discrete element, mesh free etc.；Common model dimension includes small scale, mesoscale, large scale
Deng；Common constitutive relation includes linear elasticity constitutive relation, elastic-plastic constitutive relation, fracture-damage model etc..
Step S23: Simulation Analysis；Carry out Simulation Analysis using simulation software, simulation software is needed according to not
Same calculation method is selected；
Preferred: simulation calculation can be calculated using the CPU or GPU of computer, calculate required time step-length to meet
Configure corresponding computing resource.
Step S3: evaluation procedure, the evaluation of simulation result validity；Specifically comprise the following steps:
Step S31: the foundation of object time of day database；
For simulation object, the time of day of object refers to the real work condition of object, the object time of day number
It is mainly formed by the data summarization of the reflection object time of day obtained by means such as monitoring, tests according to library.Such as in water conservancy work
Sensor can be buried to indexs such as deformation, the stress of dam in Cheng Jianshe carry out on-line monitoring, and to the tension of concrete, resistance to compression
Intensity etc. can carry out indoor or field test.
Step S32: validity calculates the determination with control standard；
Emulation is a process using the unlimited approaching to reality physical world of numerical model, and the validity is figure of merit
The index of model emulation result and object time of day degree of agreement.
It is preferred: using the mean absolute error index of simulation result and object time of day data as the calculating of validity
Criterion；Given object, which is aggregated to form, by historical data base, priori sex knowledge, expertise gives validity under conditions of problems
Grading control standard.Such as the hydraulic engineering dam construction phase is emulated, simulated stress and monitor stress mean absolute error exist
It is considered as validity within 0.2MPa to meet the requirements, can be used for subsequent control and displaying etc..
Step S33: the validity evaluation of simulation result；Utilize current simulation result data and object time of day number
According to library data, validity is calculated with validity calculation criterion, by validity and control Comparison of standards, carry out the evaluation of validity with
Classification；
Step S4: feedback step, including simulation result judgement are adjusted with process optimization；Specifically:
Step S41: judging whether validity meets preset condition, if it is, entering step S42；Otherwise, it enters step
S43；
Preset condition can be the constraint condition of evaluation and classification to validity；
Step S42: S5 is entered step；
Step S43: return step S1 to check the accuracy that perception step determines parameter input and model foundation again,
The value for readjusting the undetermined parameter of analytical procedure S2, re-starts calculating, multiple adjustment circulation, until validity meets in advance
If condition；
Step S5: rate-determining steps, comprising: carry out multisystem closed loop intelligent control；Specifically:
Step S51: the determination of goal-selling state of a control；The goal-selling state of a control refer to based on project progress,
The targets such as quality, safety, economy, by the optimum state for the simulation object that design or scientific research institution determine.
The optimum state is often provided in the form of design standard or national regulation, usually by history engineering experience,
Simulation analysis calculates, data analysis and optimization algorithm determine.Such as in building, water conservancy engineering discipline, it will usually provide safety
Coefficient is as control standard, and the security level of the ratio of safety coefficient, that is, object intensity and actual stress value, object is different, peace
Overall coefficient controlling value is also different.Under conditions of real-time on-line simulation, may be based on object historical state data and current shape
State data, using the virtual a variety of possible situations of the methods of priori knowledge, expertise, artificial intelligence, comparison optimization calculates in real time
Generate the optimum state of object, i.e., current goal-selling state of a control.Such as by taking the temperature field of dam as an example, goal-selling control
State is exactly Optimal Temperature distribution of the dam under current state, can be obtained at present by simulation calculation stage.
Step S52: the calculating of current state and goal-selling state of a control deviation, specifically: with expiring for step S4 output
The simulation result of sufficient validity preset condition asks poor as benchmark, with goal-selling state of a control, obtains and needs to adjust control
Deviation；Deviation can be calculated based on the final Con trolling index such as safety coefficient field, cracking risk field, further calculate to be object
Intensity field, stress field and displacement field deviation, further calculate be object temperature field, moisture field, quality field, creep
, the deviation of seepage field；
Step S53: different intelligent system is calculated for the contribution proportion of deviation；
For the deviation of regulation and control object current state and goal-selling state of a control, multi intelligent agent linkage can be used and entangled
Control partially.The contribution proportion can be obtained by the emulation history file of current state.Such as by reading simulation stress calculation text
Part reads the stress value that different load fields generate, and then calculating different load fields to generate the relative scale of stress is to have obtained not
With load station control system for the contribution proportion of stress-deviation value.
Step S54: multi intelligent agent linkage intelligent control is carried out based on contribution proportion；
It is primarily based on different intelligent system and different intelligence systems is distributed to deviation for the contribution proportion of deviation,
The closed loop regulation of corresponding deviation is completed by intelligence system.By taking the regulation to stress deviation as an example, first by stress-deviation value
Different intelligence systems is distributed to based on contribution proportion, then the control to distribution stress-deviation is completed by corresponding intelligence system,
The intelligence system realized at present in hydraulic engineering construction includes intelligent temperature control system, the achievable control to dam temperature field；
Intelligent casting system, the achievable control to dam quality field specifically include the control of dam construction progress and intermittent phase, more intelligence
Energy system is for the correction of the same target, that is, stress-deviation value, under the premise of the regulation of total stress deviation is met the requirements, point
It can be based on the linkage adjustment of practical regulating effect with ratio.
It is preferred: to further include step S55: early-warning and predicting；Occur during actually control adjustment it is abnormal, cause system without
When method completes closed-loop control by set objective, produces early-warning and predicting information and be pushed to incumbent institution, apply for manual intervention.
It is preferred: to further include step S56: human-computer interaction；Under current technological conditions, when can be real without corresponding intelligence system
In the case where now carrying out closed-loop control to distribution deviation, the mode of man-machine interactive operation can be taken to complete to control.
It is preferred: to further include step S57: more displayings；Described more show that the object for referring mainly to certain validity is current
The expression of the three-dimensional visualization of state and goal-selling state.Described more temperature field, moisture field, quality fields, Xu including object
Variable field, seepage field；Intensity field, stress field and the displacement field of object；Safety coefficient field and cracking risk field of object etc..
Step S6: learning procedure learns above-mentioned steps, starts new circulation；Specifically:
Step S61: intelligence learning is carried out to step S1~step S5 and starts new circulation.The specific implementation of intelligence learning
The prior arts such as machine learning, artificial intelligence, expert system can be used.As the input data of sensing layer can be calculated using machine learning
Method carries out inceptive filtering, with the smaller data for more meeting simulation calculation requirement of error originated from input；The undetermined parameter value of analysis layer can benefit
Intelligence learning is carried out with machine learning algorithm, accelerates the calculating process from S1-S4；The validity decision rule of evaluation layer can integrate
Historical data base, priori sex knowledge, expertise form expert system, realize the intelligent Evaluation of validity；The dynamic of feedback layer
Adjustment process can complete the Dynamic iterations process using intelligent algorithm；The ability of regulation and control of each intelligence system of control layer is available
Intelligent algorithm optimizes, to improve the probability that the practical regulating effect of each intelligence system is able to satisfy default goal of regulation and control.
Step S62: perceiving new Obj State again, analyzes, evaluation, adjustment and control.It experienced one
After perception, analysis, evaluation, adjustment and control loop, new variation can occur towards more excellent state for the state of object, lead to simultaneously
Overfitting layer, more real-time online cooperative intelligent emulation modes of entire mass concrete have also obtained optimization and have been promoted.Root below
According to Temperature Field in Bulky Concrete and stress field FEM calculation feature, the above method is introduced applied to mass concrete construction
One implementation method of phase stress field finite element simulation；Implementation method Life-and-death element technical modelling casting process；Using to
Difference scheme afterwards；To pour the stage constant same for all kinds of boundary condition positions of program setting, therefore convection current matrix and heat capacity matrix
It need to only be calculated once in same pour in the stage；Matrix is modified using mass method is multiplied.Specifically comprise the following steps:
Step A perceives step:
Step SA1: mass concrete three-dimensional finite element model is established.
Step SA2: input concrete material parameter: adiabatic temperature rise, specific heat coefficient, thermal coefficient, linear expansion coefficient, elasticity
Modulus, Poisson's ratio, density.
Step SA3: boundary is determined:
1) when concrete is directly contacted with water, it is set as First Boundary Condition, it may be assumed that
T=Tb(x, y, z, τ) (1)
In formula: T is boundary temperature；TbFor the boundary temperature function with space at any time；(x, y, z) is space three-dimensional seat
Mark；τ is the time.
2) when concrete surface is insulated, it is set as second kind boundary condition, it may be assumed that
In formula: T is boundary temperature；qbFor boundary heat flow；(x, y, z) is 3 d space coordinate；τ is the time；N is surface
Exterior normal direction；λ is thermal coefficient, kJ/ (mh DEG C).
3) when concrete is exposed to air or with template etc., it is set as third boundary condition, it may be assumed that
In formula: T is boundary temperature；TaFor ambient temperature；N is surface exterior normal direction；λ is thermal coefficient, kJ/ (m
h·℃)；β is surface heat transfer coefficient, kJ/ (m2h DEG C).
Step SA4: determine load: input temp monitoring data input concrete gravity stress, input water pressure.
(B) analytical procedure:
Step SB1: selected calculation method；It is specific: program of the selection based on CUDA platform, SparseLib++ function library
And business finite element software Abaqus.
Step SB2: Temperature calculating and stress field calculation are carried out with the calculating method that step B1 is selected respectively；
(C) evaluation procedure:
Step SC1: judge the validity in temperature field: by the actual value of Temperature calculating value and all monitoring points in step B2
Comparison, and average absolute error is taken, if simulated temperature and monitoring temperature mean absolute error are less than 1 DEG C, validity is true；
Step SC2: on the basis of step SC1, when the validity when temperature field is true, then further judge that stress field is true
Solidity: by stress field calculation value in SB2 and all monitoring point actual comparisons, and taking equal absolute error, if simulated stress and prison
Stress mean absolute error is surveyed in 0.2MPa, then validity is true.
(D) feedback step:
Step SD1: if step SC1 simulated temperature and monitoring temperature mean absolute error are greater than 1 DEG C, return step is needed
The perception step of A checks adiabatic temperature rise again, specific heat coefficient, thermal coefficient, the temperature monitoring number of linear expansion coefficient and input
According to accuracy, re-start Temperature calculating, carry out repeatedly adjustment circulation, until simulated temperature and monitoring temperature average absolute
Error is less than 1 DEG C.
Step SD2: if the simulated stress of step SC2 and monitor stress mean absolute error need not in 0.2MPa
The perception step of return step A checks the elasticity modulus of perception step, Poisson's ratio, density and gravity pressure, water pressure again
Accuracy, stress field calculation is re-started, repeatedly adjustment circulation, until simulated stress and monitor stress mean absolute error exist
In 0.2MPa.
(E) rate-determining steps:
Step SE1: by the temperature field of calculating, stress field, judging whether temperature, stress are more than design permissible value, if
More than permissible value, then by intelligent temperature control system, the control to dam temperature field is completed, passes through intelligent casting system, completion pair
The control of dam construction progress and intermittent phase finally makes temperature and stress meet design permissible value.
Further include step SE2: exception occur during practical intelligent control, lead to not complete dam temperature and pours
When the control of system, then generates early-warning and predicting information and be pushed to construction personnel, apply for manual intervention.
It further include step SE3: the temperature field of the mass concrete after showing adjustment control and stress field.
It is preferred: to calculate temperature field in the following way: using Life-and-death element technical modelling casting process；Using poor backward
Cellular；To pour the stage constant same for all kinds of boundary condition positions of program setting, therefore convection current matrix and heat capacity matrix are same
One, which pours the stage interior, need to calculate once；Matrix is modified using mass method is multiplied；It is specific:
Whether step S1: being to pour start time in stage；If it is, otherwise entering step S5 into lower step S2；
Step S2: internal convection current matrix is calculated；Calculate convective boundary convection current matrix；Calculate heat capacity matrix；
Step S3: the difference matrix that internal convection current matrix adds heat capacity matrix is modified according to First Boundary Condition；
Step S4: temperature field is modified according to placement temperature；
Step S5: hydration heat temperature load vector is calculated；
Step S6: convective boundary temperature load vector is calculated on the basis of hydration heat temperature load vector；
Step S7: the difference matrix for modifying heat capacity matrix according to First Boundary Condition subtracts temperature lotus multiplied by temperature field
Carry vector；
Step S8: subsequent time temperature field is calculated；And the subsequent time temperature field is saved in database；
Step S9: terminate；
It is preferred: to calculate stress field calculation in the following way: using Life-and-death element technical modelling casting process；Using increasing
Amount method is calculated；Matrix is modified using mass method is multiplied；It is crept formula using elastic aging, is examined using the recurrence formula of Zhu Baifang
Consider the influence crept；Specifically:
Whether step S1: being to pour start time in stage；If it is, otherwise entering step S3 into lower step S2；
Step S2: gravity load vector increment is calculated；
Step S3: temperature load vector increment is calculated；
Step S4: load vector increment of creeping is calculated；
Step S5: calculated rigidity matrix；According to First Boundary Condition modify stiffness matrix, gravity load vector increment,
Temperature load vector increment, load vector increment of creeping；
Step S6: calculating displacement increment, and computing unit stress increment updates storing data of creeping, updates stress field, updates
Displacement field；
Step S7: stress field and displacement field are saved in database；
Step S8: terminate；
Preferably, further include step SF: learning procedure: above-mentioned steps are learnt, start new circulation.
More real-time online cooperative intelligent emulation modes of mass concrete provided by the present invention have been carried out in detail above
It is thin to introduce.Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration
?.It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, also
Can be with several improvements and modifications are made to the present invention, these improvement and modification also fall into the protection scope of the claims in the present invention
It is interior.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence " including one ... ", not
There is also other identical elements in the process, method, article or apparatus that includes the element for exclusion.
The above description is only a preferred embodiment of the present invention, thus it is all according to the configuration described in the scope of the patent application of the present invention,
The equivalent change or modification that feature and principle are done, is included in the scope of the patent application of the present invention.
Claims (10)
1. a kind of more real-time online cooperative intelligent emulation modes of mass concrete, which is characterized in that this method comprises:
Step S1: perception step, model foundation and true perception input；
Step S2: analytical procedure, undetermined parameter initialization and Simulation Analysis；
Step S3: evaluation procedure, the evaluation of simulation result validity；
Step S4: feedback step, simulation result judgement are adjusted with process optimization；
Step S5: rate-determining steps carry out closed loop intelligent control.
2. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
The step S1 is specifically included:
Step S11: material parameter input, the material parameter are mainly obtained by various performance tests；
Step S12: monitoring data input, the monitoring data are mainly obtained by various sensors；
Step S13: Building of Simulation Model, the simulation model are referred mainly to based on the practical geometry of object, boundary condition and selected
The numerical model of the object of calculation method building, it usually needs the processes such as experience geometrical model building, mesh generation；
Step S14: load boundaries simulation, the load boundaries simulation refer mainly to bear object under the conditions of local environment
Various loads and boundary condition simulation.
3. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
The step S2 is specifically included:
Step S21: undetermined parameter initialization；Parameter a part needed for simulation analysis calculating is inputted in real time by S1, remaining
Required undetermined parameter is initialized；The initial default value of undetermined parameter can give interval range according to practical engineering experience
And change step, the selection rule of the undetermined parameter initial value can carry out intelligence learning to establish expert knowledge library；Different
The undetermined parameter that calculated examples are initialized is different, such as when carrying out Simulation Analysis to dam foundation overall structure, mixes
Coagulate the elasticity modulus of soil, linear expansion coefficient, the elasticity modulus of surface heat transfer coefficient and basement rock, infiltration coefficient etc., usually in S1
The true value that sensing layer does not determine when inputting needs to be initialized before calculating as undetermined parameter；
Step S22: calculation method selection；Calculation method refers mainly to the selection of method for numerical simulation, model dimension, constitutive relation；
Different research object and problem types are needed to take different calculation methods, wherein common method for numerical simulation packet
Include finite element, extension finite element, discrete element, mesh free etc.；Common model dimension includes small scale, mesoscale, large scale etc.；
Common constitutive relation includes linear elasticity constitutive relation, elastic-plastic constitutive relation, fracture-damage model etc.；
Step S23: Simulation Analysis；Undetermined parameter value and use based on this S1 sensing layer input and S21 that calculate
Calculation method, using simulation software carry out Simulation Analysis, simulation software needs selected according to different calculation methods
It selects；Simulation calculation can be calculated using the CPU or GPU of computer, and to meet, calculating required time step-length configuration is corresponding to be calculated
Resource.
4. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
The step S3 is specifically included:
Step S31: the foundation of object time of day database；The time of day of the object refers to the real work of object
State, the object time of day database is mainly by the number of the reflection object time of day obtained by means such as monitoring, tests
According to being aggregated to form；Meeting buries sensor development on-line monitoring to the deformation of dam, stress index such as in hydraulic engineering construction,
And indoor or field test can be carried out to the tension of concrete, compression strength etc.；
Step S32: validity calculates the determination with control standard；Emulation is one and utilizes the unlimited approaching to reality physics of numerical model
The process in the world, the validity are the indexs of figure of merit model emulation result Yu object time of day degree of agreement；Such as may be used
Using indexs such as the mean absolute errors of simulation result and object time of day data as the calculation criterion of validity, then pass through
Historical data base, priori sex knowledge, expertise etc. are aggregated to form the grading control standard of special object particular problem validity；
Such as the hydraulic engineering dam construction phase is emulated, simulated stress and monitor stress mean absolute error are considered as really within 0.2MPa
Degree is met the requirements, and can be used for subsequent control and displaying etc.；
Step S33: the validity evaluation of simulation result；Utilize current simulation result data and object time of day database
Data calculate validity with validity calculation criterion, by validity and control Comparison of standards, carry out the evaluation of validity and divide
Grade.
5. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
The step S4 is specifically included:
Step S41: judging whether validity meets preset condition, if it is, entering step S42；Otherwise, S43 is entered step；
Preset condition can be the constraint condition of evaluation and classification to validity；
Step S42: S5 is entered step；
Step S43: return step S1 to check the accuracy that perception step determines parameter input and model foundation again, again
The value for adjusting the undetermined parameter of analytical procedure S2, re-starts calculating, repeatedly adjustment circulation, until validity meets default item
Part.
6. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
The step S5 is specifically included:
Step S51: the determination of goal-selling state of a control；The goal-selling state of a control refer to based on project progress, quality,
The targets such as safety, economy, by the optimum state for the object that design or scientific research institution determine；The state often with design standard or
The form of national regulation provides, and is usually calculated by history engineering experience, simulation analysis, data are analyzed and optimization algorithm is true
It is fixed；Such as in building, water conservancy engineering discipline, it will usually provide safety coefficient as control standard, safety coefficient, that is, object
The security level of the ratio of intensity and actual stress value, object is different, and safety coefficient controlling value is also different；In real-time on-line simulation
Under conditions of, it may be based on the historical state data and current status data of object, utilize priori knowledge, expertise, artificial
The virtual a variety of possible situations of the methods of intelligence, comparison optimization calculate the optimum state for generating object, i.e., current default mesh in real time
Mark state of a control；Such as by taking the temperature field of dam as an example, goal-selling state of a control is exactly optimal temperature of the dam under current state
Degree distribution, can be obtained at present by simulation calculation stage；
Step S52: the calculating of current state and goal-selling state of a control deviation；Meet validity requirement with step S4 output
Simulation result as benchmark, ask poor with goal-selling state of a control, obtain the deviation that needs regulate and control；Deviation can be based on
The final Con trolling index such as safety coefficient field, cracking risk field calculates, and further calculates intensity field, stress field and the displacement for object
Deviation, further calculate be the temperature field of object, moisture field, quality field, field of creeping, seepage field deviation；
Step S53: different intelligent system is calculated for the contribution proportion of deviation；For regulation and control object current state and goal-selling
The deviation of state of a control can be used multi intelligent agent linkage and carry out correction control；The contribution proportion can pass through current state
History file is emulated to obtain；Such as by reading simulation stress calculation file, the stress value that different load fields generate, Jin Erji are read
The relative scale for calculating different load fields generation stress has obtained contribution of the different load station control systems for stress-deviation value
Ratio；
Step S54: multi intelligent agent linkage intelligent control；Being primarily based on different intelligent system will for the contribution proportion of deviation
Deviation distributes to different intelligence systems, is regulated and controled by the closed loop that intelligence system completes corresponding deviation；To stress deviation
Regulation for, stress-deviation value is distributed into different intelligence systems based on contribution proportion first, then by corresponding intelligence system
System completes the control to distribution stress-deviation, and the intelligence system realized at present in hydraulic engineering construction includes intelligent temperature control system
System, the achievable control to dam temperature field；Intelligent casting system, the achievable control to dam quality field specifically include big
Dam pours the control of progress and intermittent phase, and multi intelligent agent is for the correction of the same target, that is, stress-deviation value, in total stress
Under the premise of deviation regulation is met the requirements, allocation proportion can be based on the linkage adjustment of practical regulating effect；
Step S55: early-warning and predicting；It is abnormal when occurring in practical control process, cause system that can not complete closed loop by set objective
When control, produces early-warning and predicting information and be pushed to incumbent institution, apply for manual intervention；
Step S56: human-computer interaction；Under current technological conditions, when without corresponding intelligence system can be realized to distribution deviation into
In the case where row closed-loop control, man-machine interactive operation can be taken to complete corresponding control；
Step S57: more show；Described more show the object current state and goal-selling state for referring mainly to certain validity
Three-dimensional visualization expression；Described more temperature field, moisture field, quality field, fields of creeping, seepage field including object；Object
Intensity field, stress field and displacement field；Safety coefficient field and cracking risk field of object etc..
7. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
Further include step S6: learning procedure learns above-mentioned steps, starts new circulation.
8. more real-time online cooperative intelligent emulation modes of mass concrete according to claim 1, which is characterized in that
The step S6 is specifically included:
Step S61: intelligence learning is carried out to step S1~S5；
Step S62: perceiving new Obj State again, analyzes, evaluation, adjustment and control.
9. a kind of more real-time online cooperative intelligent analogue systems of mass concrete, which is characterized in that the system includes:
Sensing module, for model foundation and true perception input；
Analysis module, for undetermined parameter initialization and Simulation Analysis；
Evaluation module is evaluated for simulation result validity；
Feedback module is adjusted for simulation result judgement with process optimization；
Control module, for carrying out closed loop intelligent control.
10. more real-time online cooperative intelligent analogue systems of mass concrete according to claim 9, feature exist
In further including study module, for learning to above-mentioned steps, start new circulation.
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