KR20160129671A

KR20160129671A - Prediction and assessment apparatus for pipe-thinning based on three-dimensional computational fluid dynamics and method thereof

Info

Publication number: KR20160129671A
Application number: KR1020150132090A
Authority: KR
Inventors: 최청열
Original assignee: 주식회사 엘쏠텍
Priority date: 2015-04-30
Filing date: 2015-09-18
Publication date: 2016-11-09
Also published as: KR101708168B1

Abstract

An apparatus for predicting and assessing pipe thinning based on three-dimensional computational fluid analysis of the present invention comprises: a first module for generating three-dimensional pipe shape and mesh information on the basis of a configuration, material physical properties, and standard information of a target pipe to be measure, which are input by a user; a second module for analyzing a flow condition of the inside of the target pipe to be measured and a thinning-inducing cause on the basis of operation condition information of the target pipe to be measured, which is input by the user, with the three-dimensional pipe shape and mesh information generated from the first module; a third module for performing three-dimensional computational fluid analysis on the basis of an operation condition of the target pipe to be measured, which is input by the user, with the three-dimensional pipe shape and mesh information generated from the first module, and generating three-dimensional flow pattern data of the inside of the target pipe to be measured when the flow condition of the inside of the target pipe to be measured is analyzed as single phase flow through the second module; a fourth module for generating data on prediction and assessment of thinning of the target pipe to be measured on the basis of predetermined corrosion-inducing factor information of the inside of the target pipe to be measured with the three-dimensional flow pattern data generated from the third module when the thinning-inducing cause of the target pipe to be measured is analyzed as flow-accelerated corrosion through the second module; and a fifth module for generating assessment information of at least one among thinning rate, expected lifetime, check and replacement period of the target pipe to be measured by using the data on prediction and assessment of thinning of the target pipe to be measured, generated from the fourth module, and visualizing the generated assessment information so as to generate a result report of assessment of the thinning of the target pipe to be measured.

Description

TECHNICAL FIELD [0001] The present invention relates to a three-dimensional computational fluid analysis based piping thinning prediction apparatus, and more particularly,

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 Class 1 pipelines, nuclear operators are required to provide appropriate methods and obtain approval from regulatory agencies.

Recently, the ASME B & PV Code Committee has been developing a new type of thinning defect evaluation procedure. ASME Class 1 piping has been added to the evaluation procedure and evaluation form. However, mainly the evaluation method for the straight pipe is mainly focused. For example, Elbow, T-tube, Reducer, etc., the existing ASME Code Case N-597 is quoted, which indicates that the thinning characteristics depending on the piping shape are not sufficiently considered.

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.

Korean Patent Publication No. 10-2013-0055780

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, 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 first module 100 is configured to calculate the three-dimensional piping shape (or model) and the lattice (s) based on the configuration, material properties, and specification information of the pipe to be evaluated (hereinafter, It performs the function to automatically generate grid system information.

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 second module 200 receives the three-dimensional piping shape and the lattice network information generated from the first module 100, and calculates the flow rate of the flow within the pipeline to be evaluated based on the operating condition information of the pipeline to be evaluated, And analyze the cause of the condition and the cause of the thinning. 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.

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 second module 200 analyzes the cause of causing the pipe to be evaluated according to the evaluation of the dryness and the flow rate, Dimensional piping shape and lattice network information generated from the first module 100 may be transmitted to the third module 300, which will be described later, when the cause of the thinning is flow accelerated corrosion (FAC).

That is, when the second module 200 receives the operation condition of the pipe to be evaluated, it selects the appropriate analysis model by evaluating the flow conditions inside the pipe (for example, single-phase flow or abnormal flow) Corrosion (FAC) analysis model is automatically applied. In case of abnormal flow, the dryness and flow rate are evaluated to determine whether the flow acceleration corrosion (FAC) interpretation model and the droplet impact erosion (LDIE) analysis model are applied.

When the flow condition inside the pipe subject to evaluation is analyzed as a single-phase flow through the second module 200, the third module 300 can transmit the three-dimensional pipe shape and the grid information generated from the first module 100, Dimensional flow fluid data (CFD) on the basis of the operation condition of the pipeline to be evaluated, which is input by the control unit (ECU). At this time, it is preferable that the three-dimensional flow pattern generated from the third module 300 includes information of at least one of flow velocity, pressure, and temperature, for example. This third module 300 can be implemented utilizing an analysis library of open source based computational fluid solvers (e.g., OpenFOAM).

When the causes of the cause of thinning of the pipe subject to evaluation are analyzed by flow accelerated corrosion (FAC) through the second module 200, the fourth module 400 may generate three-dimensional flow pattern data generated from the third module 300 And performs the function of generating the thinning prediction and evaluation data of the evaluation target pipe based on the corrosion inducing factor information in the predetermined evaluation target pipe.

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 fourth module 400 may perform flow accelerated corrosion (FAC) analysis using, for example, a Kastner Model, a Chexal-Horowitz Model, a Sanchez-Caldera Model, or a Bignold Model.

Then, the fifth module 500 evaluates at least one of the reduction rate, the expected life, the inspection and the replacement cycle of the pipe to be evaluated by using the thinning prediction and evaluation data of the evaluation target pipe generated from the fourth module 400 And performs the function of generating information.

The fifth module 500 performs a function of visualizing the generated evaluation information (e.g., a numerical value, a table, a graph, a figure, etc.), and generating a thinning result report of the evaluation target pipe.

Also, the fifth module 500 may use at least one of the reduction rate, the expected life, the inspection and the 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 700 And generates the thinning result report of the pipe to be evaluated by visualizing the generated evaluation information.

In addition, when the flow condition inside the pipe to be evaluated is analyzed as an abnormal flow through the second module 200, 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 (LDIE) or the solid particle erosion (SPE), the steam flow and the three-dimensional droplet / particle locus analysis inside the evaluation subject pipe are performed in cooperation with the third module 300, A three-dimensional droplet / particle trajectory analysis module 600 (hereinafter, referred to as a 'sixth module') for generating a three-dimensional vapor flow pattern and three-dimensional droplet behavior pattern data.

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 second module 200, A droplet / particle impact erosion analysis module 700 (hereinafter referred to as " second droplet / particle impact erosion analysis module ") for generating thinning prediction and evaluation data of a pipe to be evaluated based on the 3D steam flow pattern and three- 7 module ") may be further provided.

The seventh module 700 performs droplet / particle collision erosion analysis using, for example, a droplet collision erosion (LDIE) evaluation model such as Heymann Model or Sanchez Model, and a solid particle erosion (SPE) evaluation model such as Finnie Model can do.

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 second module 200 and the operation condition information of the evaluation target pipe inputted by the user, The causative cause of the thinning is analyzed (S200) (see FIGS. 5 and 6).

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 third module 300 in step S200, the three-dimensional pipe shape and the grid network information generated in step S100 are input by the user (CFD) based on the operation condition of the subject pipe to be evaluated (S300) (see FIGS. 7 and 8).

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 third module 300. [

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 fourth module 400, the three-dimensional flow pattern data generated in the step S300, The thinning prediction and evaluation data of the pipe to be evaluated is generated based on the corrosion inducing factor information in the target pipe (S400) (see FIG. 9).

Then, by using the thinning prediction and evaluation data of the evaluation target pipe generated in step S400 through the fifth module 500, evaluation information of at least one of the reduction rate, the expected life span, the inspection and the replacement cycle of the evaluation target pipe The generated evaluation information is visualized to generate a thinning result report of the evaluation target pipe (S500) (see FIG. 12).

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 second module 200, (See FIG. 11), when the cause of the thinning of the target pipe is the droplet collision erosion (LDIE) or the solid particle erosion (SPE) (see FIG. 11), interlocking with the third module 300 through the sixth module 600, Vapor flow and three-dimensional droplet / particle trajectory analysis to generate a three-dimensional vapor flow pattern and three-dimensional droplet behavior pattern data in the pipe to be evaluated (see FIG. 10).

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 sixth module 600 And generating and transmitting thinning prediction and evaluation data of the evaluation target pipe to the fifth module 500 based on the three-dimensional vapor flow pattern and the three-dimensional droplet behavior pattern data in the evaluation target pipe generated from the third module 500 have.

Also, by using the thinning prediction and evaluation data of the evaluation target pipe generated from the seventh module 700 via the fifth module 500, at least one of the reduction ratio, the expected life span, the inspection and replacement cycle of the evaluation target pipe Generating the evaluation information, and visualizing the evaluation information to generate a thinning result report of the evaluation target pipe.

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.

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

A first module for generating a three-dimensional piping shape and lattice network information based on the configuration, material properties, and specification information of the evaluation target pipe inputted by the 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 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, And a fifth module for generating a thinning result report of the pipe to be evaluated by visualizing the piping thinning result.

The method according to claim 1,
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 method according to claim 1,
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, In case of collision erosion,
And a sixth module for generating a three-dimensional vapor flow pattern and three-dimensional droplet behavior pattern data in the pipe to be evaluated by performing the vapor flow and the three-dimensional droplet / particle trajectory analysis in the subject pipe in cooperation with the third module Wherein the piping is provided with a plurality of piping channels.

The method of claim 3,
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 thinning prediction and evaluation data of the piping and transmitting the data to the fifth module.

5. The method of claim 4,
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.

5. The method of claim 4,
Wherein the three-dimensional vapor flow pattern comprises information of at least one of flow velocity, pressure, and temperature.

5. The method of claim 4,
Wherein the three-dimensional droplet behavior pattern comprises at least one of droplet size, impact velocity, and collision angle.

The method according to claim 1,
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.

The method according to claim 1,
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.

The method according to claim 1,
Wherein the three-dimensional flow pattern generated from the third module comprises information of at least one of flow velocity, pressure, and temperature.

The method according to claim 1,
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 method for predicting and evaluating pipe thinning based on a three-dimensional computational fluid analysis using a plurality of modules,
(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 evaluation result report of the evaluation target pipe, wherein the three-dimensional computational fluid analysis based piping thinning prediction and evaluation method comprises:

13. The method of claim 12,
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, Wherein the third pipeline shape and the lattice network information generated in the step (a) are transmitted to the third module when the cause of the thinning of the pipe is flow accelerated corrosion. Assessment Methods.

13. The method of claim 12,
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, In case of droplet collision erosion,
Generating a three-dimensional vapor flow pattern and three-dimensional droplet behavior pattern data in a pipe to be evaluated by performing a vapor flow and a three-dimensional droplet / particle trajectory analysis inside the pipe to be evaluated in cooperation with the third module through a sixth module Further comprising a third step of calculating the thickness of the pipe.

15. The method of claim 14,
When the cause of the thinning of the pipe to be evaluated in the step (b) is analyzed as a droplet collision erosion,
And generating thinning prediction and evaluation data of the evaluation target pipe based on the generated three-dimensional vapor flow pattern and three-dimensional droplet behavior pattern data in the evaluation target pipe through the seventh module and transmitting the thinning prediction and evaluation data to the fifth module And a method of predicting and evaluating pipe thinning based on a three-dimensional computational fluid analysis.

16. The method of claim 15,
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.

15. The method of claim 14,
Wherein the three-dimensional vapor flow pattern comprises at least one of flow rate, pressure, and temperature.

15. The method of claim 14,
Wherein the three-dimensional droplet behavior pattern comprises at least one of droplet size, impact velocity, and collision angle.

13. The method of claim 12,
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.

13. The method of claim 12,
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.

13. The method of claim 12,
Wherein the three-dimensional flow pattern generated in step (c) comprises information of at least one of flow velocity, pressure, and temperature.

13. The method of claim 12,
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.