KR101708168B1 - Prediction and assessment apparatus for pipe-thinning based on three-dimensional computational fluid dynamics and method thereof - Google Patents
Prediction and assessment apparatus for pipe-thinning based on three-dimensional computational fluid dynamics and method thereof Download PDFInfo
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- KR101708168B1 KR101708168B1 KR1020150132090A KR20150132090A KR101708168B1 KR 101708168 B1 KR101708168 B1 KR 101708168B1 KR 1020150132090 A KR1020150132090 A KR 1020150132090A KR 20150132090 A KR20150132090 A KR 20150132090A KR 101708168 B1 KR101708168 B1 KR 101708168B1
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Abstract
The present invention provides a piping system including a first module that generates a three-dimensional piping shape and lattice network information based on a configuration of a pipeline to be evaluated, material properties, and specification information input by a user, A second module for analyzing flow condition and cause of thinning in the evaluation target pipe based on the operation condition information of the evaluation target pipe inputted by the user together with the grid network information, When the flow condition is analyzed as a single phase flow, a three-dimensional computational fluid analysis is performed based on the operating conditions of the pipeline to be evaluated inputted by the user together with the three-dimensional piping shape and lattice network information generated from the first module A third module for generating three-dimensional flow pattern data in the target pipe; and a third module for generating three-dimensional flow pattern data in the target pipe, A fourth module for generating thinning prediction and evaluation data of the pipe to be evaluated based on the corrosion inducing factor information within the predetermined evaluation subject pipe together with the three dimensional flow pattern data generated from the third module, Evaluation information of at least one of a reduction ratio, a life expectancy, and a replacement cycle of the pipe to be evaluated is generated using the thinning prediction and evaluation data of the pipe to be evaluated generated from the module, and the generated evaluation information is visualized and evaluated And a fifth module for generating a thinning result report of the target pipe.
Description
The present invention relates to an apparatus and method for predicting and evaluating pipe thinning based on computational fluid dynamics (CFD).
Generally, wall thinning refers to thinning of the pipe wall due to some cause and causes various functional problems.
The main damaging mechanisms that cause pipe thinning include, for example, flow accelerated corrosion (FAC), cavitation, flashing, liquid droplet impingement erosion (LDIE), solid particle erosion Solid Particle Erosion, SPE), and erosion / corrosion due to fluid flow in the piping.
The risk of piping failure of the cooling system of a nuclear power plant due to such pipe thinning is as follows.
That is, the cooling system piping of a nuclear power plant is a component closely related to the safety of the nuclear power plant, and a defect in the piping may cause a leakage of the coolant. In particular, defects in the primary system piping can lead to radioactive spills.
In the case of the USA, in Surry 2 in 1986, the main water supply pipe rupture occurred due to pipe thinning, resulting in the death of four workers. In addition, about 4,000 piping thinning cases have been reported.
In 2004, pipe breakage caused by piping thinning occurred at Mihama Nuclear Power Plant No.3 in Japan, resulting in the death of five workers and six casualties. In Korea, as the number of years of operation of nuclear power plants has increased, many pipe breakage accidents due to pipe thinning have occurred, and the longevity of nuclear power plants (60 years) and the extreme driving environment are threatening the safety of nuclear power plants .
Such piping damage caused by pipe thinning occurs not only in nuclear power plants but also in various plant pipelines such as thermal power plants, district heating, oil / gas facilities, and toxic materials handling facilities such as fluorine and hydrochloric acid (for example, Etc).
In order to predict and evaluate the piping thinning as described above, the initial piping thinning defect was studied for oil and gas piping from the 1980s, The soundness evaluation was conducted mainly by the American Society of Mechanical Engineers (ASME) and the Electric Power Research Institute (EPRI) after the pipe rupture accident of Surry 2 in 1986.
In other words, the ASME Code Case N-597 provides evaluation procedures and evaluation formulas for the allowable thickness of the Class 2 and Class 3 piping. However, this can not be applied to the primary system of nuclear power plants, and for
Recently, the ASME B & PV Code Committee has been developing a new type of thinning defect evaluation procedure. ASME
In 1993, EPRI developed NSAC-202L, a flow accelerated corrosion (FAC) management guideline, and released CHECWORKS, a thinning prediction / evaluation program based on flow accelerated corrosion (FAC). Also in Germany and France, 'COMSY' and 'BRT-CICERO' were developed in the mid-1990s and applied to nuclear power plants designed in their own countries.
These programs, however, have functional limitations that warn of areas that are at high risk of pipe breakage due to thinning, and are not limited to flow acceleration corrosion (FAC), cavitation, flashing, droplet impact erosion (LDIE) And particle erosion (SPE) are not considered or only partially reflected. Also, there is a limitation in that it can not sufficiently reflect the complicated flow phenomenon occurring in the orifice, the elbow, the reducer, and the T-tube.
That is, existing thinning evaluation codes such as 'CHECWORKS', 'COMSY', 'BRT-CICERO', and 'RAMEK' are based on the one-dimensional piping analysis technique. Therefore, Orifice, Elbow Irregular flows occurring in piping of complex shapes such as Elbow, Reducer, T-tube, and valve can not be considered, and it is mainly developed to evaluate the thinning phenomenon by flow accelerated corrosion (FAC) LDIE) can not be considered, and thus the accuracy of the evaluation results is low.
In addition, piping management programs such as 'PiTEP', 'IPI Manager', 'SMART-S', and 'SMART-P' developed in Korea can be used to measure the risk of breakage, residual life, This is an operation-oriented program that leads to the problem that the integrity of piping can not be evaluated at the initial stage of design.
Due to the problems of the prior art, there is a need to develop new pipe thinning evaluation technology. In other words, it is possible to derive the optimal piping design plan if the piping thinning and the lifetime are predicted in detail in the initial piping design stage, and it is possible to minimize the risk of piping replacement cost and piping rupture accident have.
In particular, it is important that the piping thickness measurement and piping replacement are not easy in the case of the primary system piping of the nuclear power plant, so careful design considering the thinning phenomenon in the initial design stage is important.
In other words, it is necessary to develop a new method of thinning evaluation method different from the existing thinning evaluation code in order to predict the thinning and pipe life in the initial piping design stage and reflect it in the piping design.
SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems, and it is an object of the present invention to provide a method and apparatus for predicting and evaluating pipe thinning considering various pipe thinning inducing mechanisms based on CFD The present invention is to provide a piping thinning prediction and evaluation apparatus based on a three-dimensional computational fluid analysis and a method thereof, which can overcome the limitations of the technology and contribute to optimizing the design of a nuclear power plant piping.
In order to achieve the above object, a first aspect of the present invention provides a first module for generating a three-dimensional piping shape and lattice network information based on a configuration, material properties, and specification information of an evaluation target pipe inputted by a user; A second module for analyzing flow condition and cause of thinning of the inside of the pipe to be evaluated based on the operation condition information of the pipe to be evaluated inputted by the user together with the three-dimensional pipe shape and lattice network information generated from the first module; When the flow condition inside the pipe to be evaluated is analyzed as a single-phase flow through the second module, the operation condition of the pipe to be evaluated inputted by the user together with the three-dimensional pipe shape and lattice network information generated from the first module A third module for generating three-dimensional flow pattern data in a pipe to be evaluated by performing a three-dimensional computational fluid analysis based on the three-dimensional computational fluid analysis; When the cause of the thinning of the pipe subject to evaluation is analyzed by flow acceleration corrosion through the second module, based on the three-dimensional flow pattern data generated from the third module and the corrosion inducing factor information inside the predetermined evaluation target pipe A fourth module for generating thinning prediction and evaluation data of the pipe to be evaluated; And estimating information of at least one of a reduction ratio, an expected life span, an inspection and a replacement cycle of the evaluation target pipe by using the thinning prediction and evaluation data of the evaluation target pipe generated from the fourth module, And a fifth module for generating a thinning result report of the pipe to be evaluated by visualizing the piping thinning prediction and evaluation device based on the three dimensional computational fluid analysis.
Here, in the second module, when the flow condition inside the pipe to be evaluated is analyzed as an abnormal flow, the cause of the thinning of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate, Dimensional piping shape and lattice network information generated from the first module may be transmitted to the third module when the flow accelerating corrosion occurs.
Preferably, when the flow condition inside the pipe to be evaluated is analyzed as an abnormal flow through the second module, the cause of the pipe thinning of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate, When the cause is the droplet collision erosion, the steam flow and the three-dimensional droplet / particle trajectory analysis in the pipe to be evaluated are performed in conjunction with the third module to calculate the three-dimensional vapor flow pattern and the three-dimensional droplet behavior pattern data A sixth module for generating the second module may be further provided.
Preferably, when the cause of the thinning of the pipe to be evaluated is analyzed as a droplet collision erosion through the second module, the three-dimensional vapor flow pattern and the three-dimensional droplet behavior pattern data in the evaluation target pipe, And a seventh module for generating thinning prediction and evaluation data of the pipe to be evaluated and transmitting the thinning prediction and evaluation data to the fifth module.
Preferably, the fifth module uses at least one of evaluation information of the evaluation target pipe, the expected life span, and the inspection and replacement cycle using the thinning prediction and evaluation data of the evaluation target pipe generated from the seventh module And generate the thinning result report of the pipe to be evaluated by visualizing the generated evaluation information.
Preferably, the three-dimensional vapor flow pattern may comprise information of at least one of flow velocity, pressure, and temperature.
Preferably, the three-dimensional droplet behavior pattern may comprise at least one of droplet size, impact velocity, and collision angle.
Preferably, the configuration of the pipeline to be evaluated may be at least one of an intrinsic pipe, an elbow, a T-pipe, a reducer, and an orifice.
Preferably, the operating condition of the subject pipe may be at least one of a flow rate, a pressure, a temperature and a condition.
Preferably, the three-dimensional flow pattern generated from the third module may comprise at least one of flow velocity, pressure, and temperature.
Preferably, the corrosion-inducing factor information in the pre-determined pipe to be evaluated may be information of at least one of oxygen saturation, corrosion potential, temperature, and pipe material properties.
According to a second aspect of the present invention, there is provided a method for predicting and evaluating pipe thinning based on a three-dimensional computational fluid analysis using a plurality of modules, the method comprising the steps of: (a) Generating three-dimensional pipe shape and lattice network information based on material property and standard information; (b) a flow condition and a thickness of the inside of the pipe to be evaluated based on the operating condition information of the pipe to be evaluated inputted by the user together with the three-dimensional pipe shape and the lattice network information generated in the step (a) Analyzing the causative cause; (c) when the flow condition inside the pipe subject to evaluation is analyzed as a single-phase flow through the third module at the step (b), the three-dimensional pipe shape and the grid information generated at the step (a) Performing three-dimensional computational fluid analysis based on the input operation condition of the subject pipe to generate three-dimensional flow pattern data in the subject pipe; (d) if the cause of the thinning of the pipe to be evaluated in the step (b) is analyzed as flow accelerated corrosion through the fourth module, the three-dimensional flow pattern data generated in the step (c) Generating thinning prediction and evaluation data of a pipe to be evaluated based on corrosion factor information inside; And (e) evaluating at least any one of evaluation values of at least one of a reduction rate, a life expectancy, a check and a replacement cycle of the pipe to be evaluated by using the thinning prediction and evaluation data of the pipe to be evaluated generated in the step (d) And visualizing the generated evaluation information to generate a thinning evaluation result report of the evaluation target pipe. The present invention provides a three-dimensional computational fluid analysis based piping thinning prediction and evaluation method.
Preferably, when the flow condition inside the pipe subject to evaluation is analyzed as an abnormal flow in the step (b), the cause of the pipe of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate through the second module, Dimensional piping shape and lattice network information generated in the step (a) to the third module when the cause of the thinning of the subject pipe to be evaluated is flow accelerated corrosion.
Preferably, when the flow condition inside the pipe subject to evaluation is analyzed as an abnormal flow in the step (b), the causal cause of the pipe of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate through the second module, When the cause of the thinning of the pipe to be evaluated is the droplet collision erosion, the steam flow and the three-dimensional droplet / particle trajectory analysis in the subject pipe are performed through the sixth module in cooperation with the third module, Generating a vapor flow pattern and three-dimensional droplet behavior pattern data.
Preferably, in the step (b), when the cause of the thinning of the pipe to be evaluated is analyzed as the droplet collision erosion, the three-dimensional vapor flow pattern and the three-dimensional droplet behavior pattern data in the generated evaluation target pipe through the seventh module And generating and transmitting thinning prediction and evaluation data of the pipe to be evaluated to the fifth module.
Preferably, the evaluation information of at least one of the reduction rate, the expected life span, and the inspection and replacement cycle of the evaluation target pipe is calculated using the thinning prediction and evaluation data of the evaluation target pipe generated from the seventh module through the fifth module And visualizing the generated evaluation information to generate a thinning result report of the evaluation target pipe.
Preferably, the three-dimensional vapor flow pattern may comprise information of at least one of flow velocity, pressure, and temperature.
Preferably, the three-dimensional droplet behavior pattern may comprise at least one of droplet size, impact velocity, and collision angle.
Preferably, in the step (a), the configuration of the subject pipe may be at least one of an intuition, an elbow, a T-pipe, a reducer, and an orifice.
Preferably, in the step (b), the operating condition of the subject pipe may be at least one of a flow rate, a pressure, a temperature and a condition.
Preferably, the three-dimensional flow pattern generated in step (c) may comprise at least one of flow velocity, pressure, and temperature.
Preferably, in the step (d), the corrosion inducing factor information inside the predetermined evaluation subject pipe may be at least one of oxygen saturation, corrosion potential, temperature, and pipe material properties.
A third aspect of the present invention provides a computer-readable recording medium on which a program capable of executing the piping thinning prediction and evaluation method based on the above-described three-dimensional computational fluid analysis is recorded.
The piping thinning prediction and evaluation method based on the three-dimensional computational fluid analysis according to the present invention can be implemented by a computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.
For example, the computer-readable recording medium includes a ROM, a RAM, a CD-ROM, a magnetic tape, a hard disk, a floppy disk, a removable storage device, a nonvolatile memory, , And optical data storage devices.
According to the piping thinning prediction and evaluation apparatus based on the three-dimensional computational fluid analysis of the present invention as described above, piping thinning is predicted by taking into consideration various piping thinning inducing mechanisms based on three-dimensional computational fluid analysis (CFD) It is possible to overcome the limitations of existing thinning technology and to contribute to optimizing the design of the nuclear plant piping.
Further, according to the present invention, it is possible to accurately estimate the complex flow phenomenon in piping or equipment because the thinning can be evaluated by taking into consideration various thinning inducing mechanisms such as droplet collision erosion (LDIE) and solid particle erosion (SPE) Therefore, it is advantageous to improve the accuracy of the evaluation result compared with the conventional method.
Further, according to the present invention, it is possible to directly simulate the physical phenomena in the piping based on the design operating conditions (for example, pressure, flow rate, temperature, etc.) of piping and equipment. Accurate thinning prediction and evaluation are possible, and there is an advantage that can be utilized for optimizing piping design.
Further, according to the present invention, since the piping design engineer can directly operate the piping, it is possible to easily evaluate the reduction rate and the piping life according to the shape, arrangement, size, and materials of the piping during the piping designing stage, .
Further, according to the present invention, it is possible to contribute to improving the loss due to unreliable piping replacement, and it can be directly applied to various fields such as thermal power plants, district heating, various chemical plants and toxic materials handling facilities as well as nuclear power plants, There is an advantage to contribute to the export of overseas technology by improving the uncertainty of existing thinning evaluation technology of nuclear power plant and plant piping and developing it as the next generation source technology.
Further, according to the present invention, it is possible to reduce the social uneasiness of nuclear facilities by improving the soundness and safety of the design of the nuclear plant piping, and it can be utilized to identify the cause of the existing pipe breakage accident, And the safety of various plant facilities. In addition, it can secure the core basic technology necessary for piping design of new nuclear power plants, and has the advantage of contributing to enhancement of technology of small and medium enterprises and cultivation of new research personnel.
FIG. 1 is a block diagram illustrating a piping thinning prediction and evaluation apparatus based on a three-dimensional computational fluid analysis according to an embodiment of the present invention. Referring to FIG.
2 is a conceptual diagram schematically illustrating the operation of a piping thinning prediction and evaluation apparatus based on a three-dimensional computational fluid analysis according to an embodiment of the present invention.
3 is a general flowchart for explaining a piping thinning prediction and evaluation method based on a three-dimensional computational fluid analysis according to an embodiment of the present invention.
FIG. 4 is a diagram showing a three-dimensional piping shape and a grid network. FIG.
FIGS. 5 and 6 are views for explaining the flow conditions inside the pipe to be evaluated and the cause of the cause of the pipe thinning.
Figs. 7 and 8 are views for explaining a three-dimensional computational fluid analysis (CFD).
Fig. 9 is a view for explaining prediction and evaluation of pipe thinning by flow movable corrosion (FAC). Fig.
FIG. 10 is a diagram for explaining performing three-dimensional droplet / particle trajectory analysis.
11 is a diagram for explaining piping thinning prediction and evaluation by droplet impingement erosion (LDIE).
Fig. 12 is a diagram for explaining generation of a thinning result report of the pipe to be evaluated. Fig.
The above and other objects, features, and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings, which are not intended to limit the scope of the present invention. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.
Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise.
While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.
When an element is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements as well, without departing from the spirit or scope of the present invention. Also, the terms "part," " module, "and the like described in the specification mean units for processing at least one function or operation, which may be implemented in hardware or software or a combination of hardware and software .
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the following embodiments of the present invention may be modified into various other forms, and the scope of the present invention is not limited to the embodiments described below. The embodiments of the present invention are provided to enable those skilled in the art to more fully understand the present invention.
Each block of the accompanying block diagrams and combinations of steps of the flowcharts may be performed by computer program instructions (execution engines), which may be executed by a general-purpose computer, special purpose computer, or other programmable data- The instructions that are executed through the processor of the computer or other programmable data processing equipment will generate means for performing the functions described in each block or flowchart of the block diagram. These computer program instructions may also be stored in a computer usable or computer readable memory capable of directing a computer or other programmable data processing apparatus to implement the functionality in a particular manner so that the computer usable or computer readable memory It is also possible for the instructions stored in the block diagram to produce an article of manufacture containing instruction means for performing the functions described in each block or flowchart of the flowchart.
Computer program instructions may also be loaded onto a computer or other programmable data processing equipment so that a series of operating steps may be performed on a computer or other programmable data processing equipment to create a computer- It is also possible that the instructions that perform the data processing equipment are capable of providing the steps for executing the functions described in each block of the block diagram and at each step of the flowchart.
Also, each block or step may represent a portion of a module, segment, or code that includes one or more executable instructions for executing the specified logical functions, and in some alternative embodiments, It should be noted that functions may occur out of order. For example, two successive blocks or steps may actually be performed substantially concurrently, and it is also possible that the blocks or steps are performed in the reverse order of the function as needed.
FIG. 1 is a block diagram of an overall piping structure for explaining a piping thinning prediction and evaluation apparatus based on a three-dimensional computational fluid analysis according to an embodiment of the present invention. FIG. 2 is a block diagram of a three- Based piping thinning prediction and evaluation apparatus according to the present invention.
Referring to FIGS. 1 and 2, an apparatus for predicting and evaluating pipe thinning based on a three-dimensional computational fluid analysis according to an embodiment of the present invention includes a three-dimensional piping shape and a lattice network generation module 100 (Hereinafter, referred to as a 'third module'), a flow condition and a cause of the thinning inducing cause analysis module 200 (hereinafter referred to as a 'second module'), a three-dimensional computational fluid analysis module 300 A flow accelerated corrosion analysis module 400 (hereinafter referred to as a fourth module), a comprehensive thinning evaluation module 500 (hereinafter referred to as a fifth module), and the like.
Here, the
At this time, it is preferable that the configuration of the subject pipe is composed of at least one of an intrinsic pipe, an elbow, a T-pipe, a reducer and an orifice, but the present invention is not limited to this, It is possible.
The
On the other hand, the flow condition inside the pipe to be evaluated can be classified into, for example, a single phase flow or a two phase flow, and the cause of the thinning in the pipe to be evaluated is, for example, Flow Accelerated Corrosion (FAC), Liquid Droplet Impingement Erosion (LDIE), and Solid Particle Erosion (SPE).
In addition, when the flow condition inside the pipe to be evaluated is analyzed as an abnormal flow, the
That is, when the
When the flow condition inside the pipe subject to evaluation is analyzed as a single-phase flow through the
When the causes of the cause of thinning of the pipe subject to evaluation are analyzed by flow accelerated corrosion (FAC) through the
At this time, it is preferable that the corrosion inducing factor information inside the predetermined evaluation target pipe is made up of at least one of oxygen saturation, corrosion potential, temperature, and pipe material properties, for example.
The
Then, the
The
Also, the
In addition, when the flow condition inside the pipe to be evaluated is analyzed as an abnormal flow through the
At this time, it is preferable that the three-dimensional vapor flow pattern includes information of at least one of a flow rate, a pressure, and a temperature, for example, and the three-dimensional liquid droplet behavior pattern includes at least one of droplet size, Information.
Furthermore, when the cause of the thinning of the pipe to be evaluated is analyzed by the droplet collision erosion (LDIE) or the solid particle erosion (SPE) through the
The
Hereinafter, a piping thinning prediction and evaluation method based on a three-dimensional computational fluid analysis according to an embodiment of the present invention will be described in detail.
FIG. 3 is a general flowchart for explaining a piping thinning prediction and evaluation method based on a three-dimensional computational fluid analysis according to an embodiment of the present invention, FIG. 4 is a view for generating a three-dimensional piping shape and a lattice network, FIGS. 7 and 8 are views for explaining a three-dimensional computational fluid analysis (CFD), and FIG. 9 is a view for explaining a flow of a fluid FIG. 10 is a view for explaining a three-dimensional droplet / particle trajectory analysis, and FIG. 11 is a view for explaining piping thinning due to droplet collision erosion (LDE) FIG. 12 is a view for explaining generation of a thinning-out result report of a pipe to be evaluated. FIG.
Referring to FIGS. 1 to 12, a piping thinning prediction and evaluation method based on a three-dimensional computational fluid analysis according to an embodiment of the present invention includes: first, Dimensional piping shape and lattice network information on the basis of the structure, material properties, and standard information (S100) (see FIG. 4).
At this time, it is preferable that the configuration of the pipe to be evaluated is formed of at least one of, for example, an intrinsic pipe, an elbow, a T-pipe, a reducer and an orifice.
Thereafter, based on the three-dimensional piping shape and the lattice network information generated in step S100 through the
At this time, it is preferable that the operating condition of the pipe subject to evaluation is at least one of conditions of flow rate, pressure, temperature and condition.
Then, when the flow condition inside the pipe subject to evaluation is analyzed as a single-phase flow through the
At this time, it is preferable that the three-dimensional flow pattern generated in step S300 includes information of at least one of flow velocity, pressure, and temperature, for example.
On the other hand, when the flow condition inside the pipe subject to evaluation is analyzed as an abnormal flow in the above-described step S200, the cause of the thinning of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate through the second module 200 ), And when the analyzed cause of the thinning of the pipe to be evaluated is flow accelerated corrosion (FAC), the three-dimensional pipe shape and lattice network information generated in step S100 may be transmitted to the
Next, when the cause of the thinning of the pipe to be evaluated is analyzed by the flow acceleration corrosion (FAC) in the step S200 through the
At this time, it is preferable that the corrosion inducing factor information inside the predetermined evaluation target pipe is made up of at least one of oxygen saturation, corrosion potential, temperature, and pipe material properties, for example.
Then, by using the thinning prediction and evaluation data of the evaluation target pipe generated in step S400 through the
In addition, when the flow condition inside the pipe subject to evaluation is analyzed as an abnormal flow in the step S200, the cause of the pipe thinning of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate through the
At this time, it is preferable that the three-dimensional vapor flow pattern includes information of at least one of a flow rate, a pressure, and a temperature, for example, and the three-dimensional liquid droplet behavior pattern includes at least one of droplet size, Information.
Furthermore, when the cause of the thinning of the pipe to be evaluated is analyzed as the droplet collision erosion (LDIE) or the solid particle erosion (SPE) in the step S200 (see FIG. 11), the
Also, by using the thinning prediction and evaluation data of the evaluation target pipe generated from the
Meanwhile, the piping thinning prediction and evaluation method based on the three-dimensional computational fluid analysis according to an embodiment of the present invention can also be implemented as a computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.
For example, the computer-readable recording medium includes a ROM, a RAM, a CD-ROM, a magnetic tape, a hard disk, a floppy disk, a removable storage device, a nonvolatile memory, , And optical data storage devices.
In addition, the computer readable recording medium may be distributed and executed in a computer system connected to a computer communication network, and may be stored and executed as a code readable in a distributed manner.
Although the present invention has been described in connection with the preferred embodiments thereof with reference to the accompanying drawings, it is to be understood that the invention is not limited thereto, It is possible to carry out various modifications within the scope of one drawing and belong to the present invention.
100: Three-dimensional piping shape and mesh generation module,
200: Flow condition and cause of thinning analysis module,
300: Three-dimensional computational fluid analysis module,
400: Flow accelerated corrosion analysis module,
500: Comprehensive thinning evaluation module,
600: Three-dimensional droplet / particle trajectory analysis module,
700: Droplet / particle impact erosion analysis module
Claims (22)
A second module for analyzing flow condition and cause of thinning of the inside of the pipe to be evaluated based on the operation condition information of the pipe to be evaluated inputted by the user together with the three-dimensional pipe shape and lattice network information generated from the first module;
When the flow condition inside the pipe to be evaluated is analyzed as a single-phase flow through the second module, the operation condition of the pipe to be evaluated inputted by the user together with the three-dimensional pipe shape and lattice network information generated from the first module A third module for generating three-dimensional flow pattern data in a pipe to be evaluated by performing a three-dimensional computational fluid analysis based on the three-dimensional computational fluid analysis;
When the cause of the thinning of the pipe subject to evaluation is analyzed by flow acceleration corrosion through the second module, based on the three-dimensional flow pattern data generated from the third module and the corrosion inducing factor information inside the predetermined evaluation target pipe A fourth module for generating thinning prediction and evaluation data of the pipe to be evaluated;
Estimating lifetime of the pipe to be evaluated, evaluation life of the evaluation target pipe, inspection and replacement cycle using the thinning prediction and evaluation data of the evaluation target pipe generated from the fourth module, A fifth module for generating a thinning result report of the pipe to be evaluated by visualization;
Wherein when the flow condition inside the pipe to be evaluated is analyzed as an abnormal flow through the second module, the cause of the thinning of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate, Dimensional droplet / particle trajectory analysis in cooperation with the third module in the case of collision erosion to generate a three-dimensional vapor flow pattern and three-dimensional droplet behavior pattern data in the evaluation target pipe by performing the vapor flow and the three- 6 modules; And
Wherein when the cause of the thinning of the pipe to be evaluated is analyzed as a droplet collision erosion through the second module, based on the three-dimensional vapor flow pattern and the three-dimensional droplet behavior pattern data in the evaluation target pipe generated from the sixth module, And a seventh module for generating and transmitting thinning prediction and evaluation data of the pipe to the fifth module,
The second module analyzes the cause of the thinning of the evaluation target pipe according to the evaluation of the dryness and the flow rate when the flow condition inside the evaluation target pipe is analyzed as an abnormal flow, Dimensional piping shape and lattice network information generated from the first module is transmitted to the third module when accelerated corrosion is detected.
The fifth module generates evaluation information of at least one of a reduction rate, an expected life span, a check and a replacement cycle of the evaluation target pipe by using the thinning prediction and evaluation data of the evaluation target pipe generated from the seventh module, And the generated evaluation information is visualized to generate a thinning evaluation result report of the evaluation target pipe, wherein the pipe thinning prediction and evaluation device is based on a three-dimensional computational fluid analysis.
Wherein the three-dimensional vapor flow pattern comprises information of at least one of flow velocity, pressure, and temperature.
Wherein the three-dimensional droplet behavior pattern comprises at least one of droplet size, impact velocity, and collision angle.
Wherein the structure of the pipeline to be evaluated is formed of at least one of an intrinsic pipe, an elbow, a T-pipe, a reducer, and an orifice.
Wherein the operating condition of the pipe to be evaluated is at least one of a flow rate, a pressure, a temperature, and a degree of a condition, wherein the pipeline thinning prediction and evaluation apparatus is based on a three-dimensional computational fluid analysis.
Wherein the three-dimensional flow pattern generated from the third module comprises information of at least one of flow velocity, pressure, and temperature.
Wherein the corrosion inducing factor information in the predetermined evaluation target pipe comprises at least any one of oxygen saturation, corrosion potential, temperature, and physical properties of piping material. .
(a) generating a three-dimensional piping shape and lattice network information based on the configuration, material properties, and specification information of an evaluation target pipe inputted by a user through a first module;
(b) a flow condition and a thickness of the inside of the pipe to be evaluated based on the operating condition information of the pipe to be evaluated inputted by the user together with the three-dimensional pipe shape and the lattice network information generated in the step (a) Analyzing the causative cause;
(c) when the flow condition inside the pipe subject to evaluation is analyzed as a single-phase flow through the third module at the step (b), the three-dimensional pipe shape and the grid information generated at the step (a) Performing three-dimensional computational fluid analysis based on the input operation condition of the subject pipe to generate three-dimensional flow pattern data in the subject pipe;
(d) if the cause of the thinning of the pipe to be evaluated in the step (b) is analyzed as flow accelerated corrosion through the fourth module, the three-dimensional flow pattern data generated in the step (c) Generating thinning prediction and evaluation data of a pipe to be evaluated based on corrosion factor information inside; And
(e) evaluating at least one of the rate of reduction, the estimated life span, the inspection and the replacement cycle of the pipe to be evaluated using the thinning prediction and evaluation data of the pipe to be evaluated generated in the step (d) through the fifth module And visualizing the generated evaluation information to generate a thinning result report of the evaluation target pipe,
Wherein when the flow condition inside the pipe subject to evaluation is analyzed as an abnormal flow in the step (b), the cause of the thinning of the pipe to be evaluated is analyzed according to the evaluation of the dryness and the flow rate through the second module, When the cause of the thinning of the pipe is flow accelerated corrosion, the three-dimensional pipe shape and the lattice network information generated in the step (a) are transmitted to the third module,
Wherein when the flow condition inside the pipe subject to evaluation is analyzed as an abnormal flow in the step (b), the causes of thinning of the pipe to be evaluated are analyzed according to the evaluation of the dryness and the flow rate through the second module, The droplet collision erosion is carried out through the sixth module to perform the steam flow and the three-dimensional droplet / particle trajectory analysis in the evaluation target pipe in cooperation with the third module, so that the three-dimensional steam flow pattern And generating three-dimensional droplet behavior pattern data,
When the cause of the thinning of the pipe subject to evaluation is analyzed as a droplet collision erosion in the step (b), evaluation based on the three-dimensional vapor flow pattern and the three-dimensional droplet behavior pattern data in the generated evaluation pipe through the seventh module Further comprising generating and transmitting thinning prediction and evaluation data of a target pipe to the fifth module.
Evaluating information of at least one of a reduction rate, an expected life span, and a check and replacement cycle of the evaluation target pipe is generated using the thinning prediction and evaluation data of the evaluation target pipe generated from the seventh module through the fifth module , And visualizing the evaluation information to generate a thinning result report of the evaluation target pipe.
Wherein the three-dimensional vapor flow pattern comprises at least one of flow rate, pressure, and temperature.
Wherein the three-dimensional droplet behavior pattern comprises at least one of droplet size, impact velocity, and collision angle.
The three-dimensional computerized fluid analysis system according to claim 1, wherein, in the step (a), the configuration of the subject pipe comprises at least one of an intrinsic pipe, an elbow, a T-pipe, a reducer, and an orifice. Pipe thinning prediction and evaluation method.
The method of predicting and evaluating piping thinning based on a three-dimensional computational fluid analysis according to claim 1, wherein, in the step (b), the operation condition of the pipeline to be evaluated is at least one of a flow rate, a pressure, a temperature and a condition.
Wherein the three-dimensional flow pattern generated in step (c) comprises information of at least one of flow velocity, pressure, and temperature.
Wherein the corrosion inducing factor information in the predetermined evaluation target pipe comprises information of at least one of oxygen saturation, corrosion potential, temperature, and pipe material properties in the step (d) Pipe Thinning Prediction and Evaluation Method.
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