KR20220137202A - Earthquake damage evaluating system for water pipe network using asset management, and method for the same - Google Patents

Abstract

Provided are an earthquake damage evaluating system for a water pipe network using asset management and a method thereof which classify attributes for each segment of a water pipe network, predict a deterioration degree of each attribute, accurately predict earthquake damage of the water pipe network based on this, accurately predict damage to the water pipe network when an earthquake occurs, and easily perform decision-making on earthquake damage restoration, including a restoration priority, restoration costs, and a restoration period.

Description

Seismic Damage Assessment System and Method of Water Pipe Network Using Asset Management

The present invention relates to an earthquake damage assessment system of a water supply pipe network, and more specifically, by estimating the earthquake damage scale of a water pipe network using asset management when an earthquake occurs, earthquake damage recovery of a water pipe network It relates to a seismic damage assessment system and method for water supply pipe networks that make decisions about

In the case of a normal water supply system, using purified water as a reference point, water is taken from the water source and delivered to the water purification facility, and then purified at the water purification facility and sent to the drainage area, and then drained from the drainage area to each area, and finally Water is supplied to each household.

1 is a view showing a typical water supply system.

Referring to FIG. 1 , the water supply system consists of a water source, water intake, frequency, purified water, water supply, drainage, and water supply in the order of water supply. Specifically, water sources are water intake sources, mostly surface water sources and underground water sources. In addition, water intake and collection facilities refer to facilities required to intake and collect the required quantity of water from a water source with appropriate water quality, and water supply facilities refer to facilities that supply water taken from a water source to a water purification plant. In addition, a water purification facility refers to a facility that purifies the water to a required degree, a water supply facility is a facility necessary to transport purified water to a drainage area, a drainage facility is a facility from the discharge station to the drain pipe, and a water supply facility is a facility that branches from the drain pipe It refers to the facility that exists between the consumer's water hydrant.

At this time, the water intake, water purification plant, and drainage are ground facilities that exist in one place, but the water supply pipe network is an underground facility that exists over a long distance because it is composed of linear pipes. Therefore, it takes a lot of time to recover the damage caused by the earthquake in the water supply network, which is an underground facility, and the damage to the citizens is enormous. In particular, when an earthquake occurs, water outage or leakage occurs in the water supply network, which is an underground facility. For example, taking the precedents of the United States and Japan, it is known that the ratio of water level to water leakage is approximately 2 to 8. Accordingly, there is a need for rapid restoration of damage caused by earthquakes in the water supply pipe network, which is an underground facility.

Meanwhile, the American Lifeline Alliance (ALA) in the United States developed a Fragility Curve by analyzing earthquake data in the United States, Japan, and Mexico. This fragility curve can indicate the degree of damage to the pipe network as a probability according to the intensity of the earthquake. At this time, the degree of earthquake damage depends on the diameter of the pipe, the wall thickness of the pipe, the thickness of the soil covering the pipe network, the joint method, the material, and the characteristics of the site.

Specifically, the strength of an earthquake can be expressed as Peak Ground Acceleration (PGA) or Permanent Around Displacement (PGD). It is known to be suitable for indicating the intensity of earthquakes. The maximum ground acceleration (PGA) is the maximum ground acceleration generated by an earthquake, and is defined as a value obtained by multiplying an acceleration factor by the acceleration due to gravity. Accordingly, the damage (or damage) of the pipe network due to an earthquake can be expressed as a concept of the probability that water outage or water leakage may occur.

On the other hand, Figure 2 is a view illustrating the repair rate of the pipe according to the prior art.

(Repair rate)로 표시되며, 관로의 수리율(

)은 관의 취약도를 정량적인 수치로 표현한 것으로 단위 길이당 관 파손 지점 수의 단위를 갖는다. 이러한 관로의 수리율(

)은 취약성 함수(Vulnerability function)라고도 한다.As shown in Figure 2, the repair rate of the pipe according to the prior art (Repair rate) per 1,000 feet or per 1000 m as the damage of the pipe network

It is displayed as (Repair rate), and the repair rate (

) is a quantitative numerical expression of the pipe's fragility, and has a unit of the number of pipe breakage points per unit length. The repair rate of these pipelines (

) is also called a vulnerability function.

)을 다음의 수학식 1과 같이 제시한 바 있다. 여기서, 최대지반속도(PGV)는 전술한 최대지반가속도(PGA)를 적분하여 결정된다. 다시 말하면, 최대지반속도(PGV)에 의한 수학적인 모형은 선형모형(Linear Model)과 지수모형(Power Model)이 있는데, 선형모형의 관로의 수리율(

)은 다음의 수학식 1과 같이 표현할 수 있고, 지수모형의 관로의 수리율(

)은 다음의 수학식 2와 같이 표현할 수 있다.In addition, the mathematical model created based on past earthquake data uses the concept of probability because of limited data and a large spread of data. In particular, when there is no pipe information such as pipe type, pipe joint, pipe diameter, and corrosion condition based on past earthquake data, ALA calculates the pipe repair rate (Peak Ground Velocity: PGV)

) is presented as Equation 1 below. Here, the maximum ground velocity (PGV) is determined by integrating the above-described maximum ground acceleration (PGA). In other words, the mathematical model based on the maximum ground velocity (PGV) has a linear model and a power model.

) can be expressed as in Equation 1 below, and the repair rate (

) can be expressed as in Equation 2 below.

)은 다음의 수학식 4에 의해 산출할 수 있으며, 이때, L은 배관의 연장 길이를 나타낸다.In addition, the mathematical model by PGD may be expressed as in Equation 3 below. In addition, the pipe failure probability (pipe failure probability:

) can be calculated by the following Equation 4, where L represents the extension length of the pipe.

Accordingly, the probability that the pipe network is destroyed according to the intensity of an earthquake in each segment of the pipe network may be determined using Equations 1 to 4 described above. However, since the aforementioned Equations 1 to 4 are made on the premise that a cast iron pipe is used, it is difficult to apply to a ductile cast iron pipe or other type of pipe other than a cast iron pipe, and in particular, There is a problem in that it is difficult to trust Equations 1 to 4 because the difference in resistance according to aging, which is a secular change of the asset, is not reflected.

Meanwhile, the magnitude of earthquake damage can be estimated using open software such as the Water Network Tool for Resilience (WNTR). Specifically, WNTR is software developed by the US Environmental Protection Agency (USEPA) and released for free. It has the function of predicting damage to the pipe network in case of an earthquake as well as the function of the existing EPANET 2.2.

3 is a diagram illustrating a simulation result according to the EPANET pipe network analysis program, and FIG. 4 is a diagram illustrating a simulation result according to the WNTR program.

Specifically, as shown in FIG. 3, the EPANET program is a pipe network analysis program developed and provided by the US Environmental Protection Agency for free, based on Extended Period Simulation (EPS). It is a program that can perform various analysis such as repair and water quality analysis, individual pump motor and power unit estimation. This EPANET program provides various functions such as convenient creation of pipe network diagrams, graphs and tables of analysis results, and color-coded representation of pipe networks.

In addition, the WNTR program, as shown in FIG. 4, can evaluate the water supply potential of the water supply system when an earthquake occurs as a hydraulic-based analysis model capable of analyzing an abnormal situation such as an earthquake is mounted. In other words, the WNTR program can predict damage to the pipe network in case of an earthquake in addition to the functions of the existing EPANET program.

On the other hand, Figures 5a and 5b is a diagram illustrating a fragility curve according to time, respectively.

The vulnerability curve for predicting damage to the pipe network during an earthquake is made exponentially, as shown in FIGS. 5A and 5B. In order to do this, it is necessary to be able to predict the change of the vulnerability curve over time.

On the other hand, as a prior art related to the above-mentioned fragility curve, the invention of the title of "apparatus and method for predicting the fragility of a structure due to a disaster" is disclosed in Korean Patent Laid-Open No. 2020-72944, FIGS. 6A and 6B It will be described with reference to .

6A is a conceptual diagram schematically showing the configuration of a system for predicting the vulnerability of a structure due to a disaster according to the prior art, and FIG. 6B is a configuration diagram showing a vulnerability curve derivation unit implemented in the vulnerability prediction device shown in FIG. 6A. .

Referring to FIG. 6A, the system for predicting the vulnerability of a structure due to a disaster according to the prior art provides disaster information ( DI) stored database (D); Fragility curve derivation unit 10 for deriving a fragility curve; an information input unit 20 for inputting information on a specific disaster size to be predicted and a specific structure; Fragility prediction device (DE) including a vulnerability calculation unit 30 for calculating the predicted vulnerability; and a terminal T that inputs various types of information into the vulnerability prediction device DE or receives information calculated by the vulnerability prediction device DE as needed.

The vulnerability prediction device DE uses the database D in which disaster information (DI) including the size of each disaster and the degree of damage to each structure according to the disaster for a plurality of disasters that have occurred in the past is stored using the database D of a specific disaster. Determines the degree of vulnerability of a specific structure that is predicted when it occurs.

At this time, the vulnerability curve deriving unit 10 derives a vulnerability curve for each section with respect to the disaster size and the degree of damage to the structure using the disaster information DI of the database D. Accordingly, by using the disaster information of the database (D), it is possible to derive a vulnerability curve for each section for the size of a disaster and damage to a structure, and based on this, it is possible to derive a specific disaster size and a degree of vulnerability for a specific structure. Realistic results based on big data can be expected without the assumption of arbitrary mathematical functions.

More specifically, as shown in FIG. 6B , the vulnerability curve derivation unit 10 includes a reliability calculation module 11 , a likelihood calculation module 12 , a certainty rate calculation module 13 , and a vulnerability derivation module 14 . ) is included.

According to the system for predicting the vulnerability of a structure due to a disaster according to the prior art, a vulnerability curve is derived for each section for the size of the disaster and the degree of damage to the structure using disaster information in the database, and based on this, a specific disaster size and a specific structure are derived. As it can derive the vulnerability to

In addition, the reliability for each section of the degree of damage to the structure included in one section for the size of the disaster is calculated, the probability of damage to the structure for each section for the size of the disaster is calculated for each section, and the structure for each section of the size of the disaster is calculated. By calculating the certainty for each section based on the degree of damage, it is possible to solve the uncertainty existing in the data for creating the existing vulnerability curve.

In the case of the system for predicting the degree of vulnerability of a structure due to a disaster according to the prior art, in the method for predicting the degree of vulnerability of a structure due to a disaster, a database in which disaster information including the size of the disaster and the degree of damage to the structure is stored is used to estimate the degree of damage to the structure. By deriving a vulnerability curve for each section and inputting the derived vulnerability curve to the vulnerability calculator, it is possible to predict the size of a disaster and information on a specific structure.

However, in the case of the system for predicting the vulnerability of a structure due to a disaster according to the prior art, disaster information (DI) including the size of each disaster and the degree of damage to each structure according to the disaster for a plurality of disasters that have occurred in the past Because it is a method of deriving a vulnerability curve for each section for disaster size and structural damage by using Accordingly, there is a problem that it is difficult to trust.

On the other hand, as another prior art, Korean Patent Laid-Open Publication No. 2020-49956 discloses an invention entitled "System and method for optimizing maintenance budget for earthquake preparedness through earthquake estimated damage prediction technique", which will be described with reference to FIG. 7 . do.

7 is a configuration diagram schematically illustrating a system for optimizing a maintenance budget in preparation for an earthquake through a method of predicting an earthquake expected damage amount according to the prior art.

Referring to FIG. 7 , the earthquake-prepared maintenance budget optimization system 40 through the earthquake expected damage prediction technique according to the prior art includes an earthquake occurrence modeling unit 41 , a facility GIS system modeling unit 42 , and a facility earthquake damage It includes a function generating unit 43 and an earthquake damage prediction modeling unit 44 for each facility.

The earthquake occurrence modeling unit 41 establishes earthquake risk modeling. Specifically, the earthquake occurrence modeling unit 41 may create a modeling technique for the reproduction period and rock acceleration during the set period through the seismic design criteria for the set area.

The facility GIS system modeling unit 42 establishes the facility GIS system modeling by systemizing the facility GIS. Specifically, the facility GIS system modeling unit 42 may proceed with the GIS systemization of the facility by reflecting the classification and characteristics of facilities including earthworks, bridges, tunnels, and buildings. Accordingly, the facility GIS system modeling unit 42 may establish facility GIS system modeling.

The facility earthquake damage function generation unit 43 uses earthquake risk modeling and facility GIS system modeling to classify facilities by reflecting earthquake damage characteristics, and generates an earthquake damage function for each facility for each classified individual facility.

The earthquake damage prediction modeling unit 44 for each facility calculates the maximum expected damage for each facility that can be received by each classified facility and the average annual estimated damage to establish an earthquake damage prediction modeling for each facility.

The earthquake-prepared maintenance budget optimization system through the earthquake-predicted damage prediction technique according to the prior art is an earthquake-predicted damage prediction technique, which establishes earthquake risk modeling, systemizes GIS for facilities, and performs earthquake risk modeling and facility GIS After classifying the facilities by reflecting the earthquake damage characteristics using system modeling, the earthquake damage function is generated using the earthquake damage vulnerability function for each facility and the stochastic earthquake occurrence theory. By integrating inversely, it is possible to express the expected earthquake damage rate and the expected damage amount for each facility.

According to the earthquake-prepared maintenance budget optimization system 40 through the earthquake-predicted damage prediction technique according to the prior art, it is possible to construct a response system by calculating the estimated damage for the earthquake, and to optimize the maintenance budget in preparation for the earthquake It is possible to calculate the maximum amount of damage caused by earthquakes for each facility and scenario and the estimated annual average damage. In addition, it is possible to provide a machine learning-based natural disaster preparedness budget optimization algorithm based on the estimated damage amount, disaster scenario, and damage reduction data during reinforcement and risk transfer.

However, in the case of the earthquake-prepared maintenance budget optimization system through the earthquake-predicted damage prediction technique according to the prior art, it is difficult to apply, for example, in a state where the earthquake damage assessment of facilities such as a water supply network is not accurately performed, in particular, In the case of the earthquake expected damage prediction technique, there is a problem that it is difficult to trust because the difference in resistance according to the secular change of the assets of each water pipe network segment is not reflected.

Republic of Korea Patent No. 10-1092883 (Registration Date: December 6, 2011), Title of Invention: "Asset Management System of Water and Sewerage Pipe Network" Republic of Korea Patent No. 10-2143805 (Registration Date: August 6, 2020), Title of Invention: "Apparatus and Method for Predicting Fragility of Structures Due to Disasters" Republic of Korea Patent Publication No. 2020-49956 (published date: May 11, 2020), title of invention: "System and method for optimizing maintenance budget for earthquake preparedness through earthquake expected damage prediction technique" Republic of Korea Patent Publication No. 2016-35671 (published date: April 1, 2016), title of invention: "Earthquake Damage Prediction Apparatus and Method"

Journal of Korea Society of Disaster Information Vol.11, No.1, pp. 35-43, November 2015, title of the paper: "Earthquake Fragility of Waterworks Facilities" Korea Water Resources Corporation publication, December 2019, title of publication: "Evaluation of Water Supply Network Safety Considering Earthquake Vulnerability"

The technical task of the present invention to solve the above problems is to classify the properties of each segment of the water supply network using asset management techniques for systematic management of the water supply network, predict the deterioration of each attribute, and based on this This is to provide an earthquake damage assessment system and method for water supply pipe networks using asset management that can accurately predict earthquake damage.

Another technical task to be achieved by the present invention is to accurately predict the damage to the water supply network in the event of an earthquake, and to easily make decisions about earthquake damage recovery including the priority of recovery, recovery cost and recovery period. , to provide an earthquake damage assessment system and method for water pipe networks using asset management.

As a means for achieving the above-mentioned technical problem, the earthquake damage assessment system of the water supply pipe network using the asset management according to the present invention sets the aging property to reflect the effect of the aging pipe in the asset management data for each segment of the established water supply pipe network. segment data property setting unit; a fragility curve creation unit for creating a fragility curve to which a stress change according to the aging of the water supply pipe network is applied according to the material and age of the water supply pipe network; Seismic impact simulation performing unit for performing seismic impact simulation on the water supply pipe network segment according to the fragility curve to which the stress change according to the aging of the water supply pipe network is applied when an earthquake occurs; an aging pipe effect reflecting unit for reflecting the aging pipe effect according to the aged pipe property set in the segment data property setting unit to the earthquake impact simulation result; an earthquake damage scale calculation unit that calculates the earthquake damage scale of the water supply pipe network from the earthquake impact simulation result reflecting the effect of the old pipe; an earthquake damage recovery cost estimator that calculates a water pipe network earthquake damage recovery cost according to the scale of the water pipe network earthquake damage; and a water supply pipe network repair decision-making unit for making a water supply pipe network repair decision-making according to the earthquake damage recovery cost of the water supply pipe network, wherein the asset management data for each segment of the water supply network is previously obtained through the asset management technique of the water supply pipe network asset management system. It is characterized in that the old pipe attribute is given to the water pipe network segment by using the inventory technique that is built and created by classifying the components of the water pipe network of the water pipe network asset management system.

로 주어지고, 여기서,

로서,

는 초기 응력을 나타내며,

는 일정 시간 경과시의 응력을 나타내고,

은 관로의 수리율을 나타내며, L은 베관의 연장길이를 각각 나타내는 것을 특징으로 한다.Here, the fragility curve preparation unit is represented by the pipe failure probability (Pf) to apply the stress change according to the aging of the water supply pipe network, at this time,

is given, where,

as,

is the initial stress,

represents the stress at the elapse of a certain time,

denotes the repair rate of the pipe, and L denotes the extension length of the pipe.

Here, the seismic effect simulation performing unit is characterized by inputting the fragility curve to which the stress change according to the aging of the water supply pipe network is applied to the WNTR simulation program in order to grasp the effect of earthquakes according to the aging of the water supply pipe network.

Here, the segment data property setting unit may include a pipe material, a pipe length, a pipe laying year, a road load, and soil.

) 및 지진피해에 따른 영향(

), 지진피해의 발생 전 탐지가능성(

)의 평가기준에 따른 구성요소의 평가를 종합하여 리스크로 산정하되, 상기 리스크는,

로 주어지고, 여기서,

는 피해 빈도수로서 피해확률을 나타내고,

는 피해에 따른 영향으로서 피해정도를 나타내며,

은 피해 발생 전의 탐지가능성인 여력을 나타내는 것을 특징으로 한다.Here, the earthquake damage is the expected frequency of earthquake damage (

) and the effects of earthquake damage (

), detectability before earthquake damage occurs (

) is calculated as a risk by synthesizing the evaluation of components according to the evaluation criteria of

is given, where,

represents the damage probability as the damage frequency,

represents the degree of damage as the effect of damage,

It is characterized in that it represents the margin, which is the detectability before the occurrence of damage.

Here, the water supply pipe network repair decision-making unit is characterized in that it performs decision-making on the priority, construction cost and schedule for the repair of the water supply network.

On the other hand, as another means for achieving the above-described technical problem, the earthquake damage assessment method of the water supply pipe network using the asset management according to the present invention is a) asset management data for each water pipe network segment using the water supply pipe network asset management system Forming a, setting the aging pipe properties of the water pipe network segment; b) creating a fragility curve to which the stress change according to the aging of the water supply network is applied; c) performing seismic impact simulation on the fragility curve to which the stress change according to the aging of the water supply pipe network is applied when an earthquake occurs; d) reflecting the effect of the aged pipe according to the properties of the old pipe to the earthquake impact simulation result; e) estimating the magnitude of earthquake damage in the water supply pipe network from the earthquake impact simulation results reflecting the effects of old pipes; f) estimating the earthquake damage recovery cost of the water pipe network according to the magnitude of the earthquake damage in the water pipe network; and g) making a decision to repair the water pipe network according to the earthquake damage recovery cost of the water pipe network, wherein in step a), an inventory created by classifying the components of the water pipe network of the water pipe network asset management system 200 It is characterized in that the old pipe attribute is given to the water supply pipe network segment using the technique.

According to the present invention, it is possible to predict the deterioration of each property by classifying the properties of each segment of the water supply network using the asset management technique for systematic management of the water supply network, and accurately predict the earthquake damage based on this.

According to the present invention, it is possible to accurately predict the damage to the water supply network when an earthquake occurs, and to easily make a decision on the earthquake damage recovery including the priority of recovery, the recovery cost and the recovery period.

1 is a view showing a typical water supply system.
2 is a diagram illustrating a repair rate of a pipe according to the prior art.
3 is a diagram illustrating a simulation result according to the EPANET pipe network analysis program.
4 is a diagram illustrating a simulation result according to a WNTR program.
5A and 5B are diagrams each illustrating a fragility curve over time.
6A is a conceptual diagram schematically showing the configuration of a system for predicting the vulnerability of a structure due to a disaster according to the related art, and FIG. 6B is a configuration diagram showing a vulnerability curve derivation unit implemented in the vulnerability prediction device shown in FIG. 6A. .
7 is a configuration diagram schematically illustrating a system for optimizing a maintenance budget in preparation for an earthquake through a method of predicting an earthquake expected damage amount according to the prior art.
8 is a block diagram of an earthquake damage evaluation system of a water supply pipe network using asset management according to an embodiment of the present invention.
9A is a diagram illustrating stratification of assets in an earthquake damage assessment system of a water supply network using asset management according to an embodiment of the present invention, and FIG. 9B is a diagram specifically illustrating a stratified water supply system with assets.
10 is a diagram illustrating a vulnerability curve created in an earthquake damage evaluation system of a water supply pipe network using asset management according to an embodiment of the present invention.
11A and 11B are diagrams showing the results of the WNTR program applied to the earthquake damage evaluation system of the water supply pipe network using the asset management according to an embodiment of the present invention.
12 is a diagram illustrating a schematic calculation standard for construction cost according to pipe diameter in an earthquake damage evaluation system of a water supply pipe network using asset management according to an embodiment of the present invention.
13A to 13E are diagrams illustrating the seismic risk solution operation result through WNTR-based water pipe network analysis to which the earthquake damage evaluation system of the water supply network using asset management according to an embodiment of the present invention is applied.
14 is an operation flowchart of an earthquake damage evaluation method of a water supply pipe network using asset management according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated. In addition, terms such as "...unit" described in the specification mean a unit for processing at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software.

First, as a prior art, the invention entitled "Asset Management System of Water and Sewerage Pipe Network" is disclosed in Republic of Korea Patent No. 10-1092883, which has been applied for and registered as a patent by the applicant of the present invention. form part of the invention.

The asset management system of the water and sewage pipe network disclosed in Republic of Korea Patent No. 10-1092883 applies the aging model of the water and sewage pipe network in connection with the GIS information of the water and sewage pipe network GIS (geographic information system) based information management system, and an engineering analysis system that performs preventive maintenance through integrated continuous update optimization and provides optimal maintenance decision-making according to risk analysis of the water and sewage pipe network; a service level target selection system that integrates the service level target from the customer point of view and the service level target from the organizational point of view for the water and sewage network, and selects an integrated target level through gap analysis between the service level targets; and a financial analysis system that maintains the maximum performance at the minimum cost through efficient budget distribution by decision-making techniques related to the maintenance and rehabilitation costs of the water and sewage pipe network, By providing a total asset management system for Korea, it can be used for information management, history management, and asset management of water and sewage facilities, and can be used for rational and systematic decision-making in the maintenance and management of water and sewage pipelines.

Hereinafter, the asset management system of the water supply and sewage pipe network according to the prior art described above is, as shown in FIG. applied by name. That is, the water pipe network asset management system can be utilized for information management, history management, and asset management for each water pipe network segment.

[Earthquake Damage Assessment System (100) of Water Pipe Network Using Asset Management]

8 is a configuration diagram of an earthquake damage assessment system of a water supply pipe network using asset management according to an embodiment of the present invention, and FIG. It is a diagram showing the layered, and FIG. 9b is a diagram specifically illustrating a water supply system layered with assets, and FIG. 10 is a vulnerability created in an earthquake damage assessment system of a water supply network using asset management according to an embodiment of the present invention. It is a diagram illustrating a curve, and FIGS. 11A and 11B are diagrams showing the results of the WNTR program applied to the earthquake damage assessment system of the water supply network using asset management according to an embodiment of the present invention, and FIG. 12 is an embodiment of the present invention It is a diagram showing the outline calculation criteria for construction cost according to pipe diameter in the earthquake damage assessment system of water supply pipe network using asset management according to the example.

Referring to FIG. 8 , the earthquake damage evaluation system 100 of a water supply network using asset management according to an embodiment of the present invention includes a segment data property setting unit 110 , a vulnerability curve creation unit 120 , and an earthquake impact simulation. It is configured to include an execution unit 130, an aging pipe impact reflection unit 140, an earthquake damage size calculation unit 150, an earthquake damage recovery cost calculation unit 160, and a water supply network repair decision-making unit 170.

First, in the case of the water supply network asset management system 200 applied to the earthquake damage assessment system 100 of the water supply network using asset management according to an embodiment of the present invention, as shown in FIG. 9A , the highest asset, the upper asset , can be stratified into four levels of sub-assets and bottom-level assets. For example, as shown in FIG. 9b , the top-level asset represents a water supply system, and the top-level asset represents a water intake facility, a water service facility, a water purification facility, and a water transmission facility. , indicates major facilities including drainage and water supply facilities. In addition, the sub-asset represents the main facilities including a drainage basin, a drain pipe, a water quality/water quantity/water pressure gauge, valves, a fire hydrant, a drainage facility and a manhole, an inspection hole, etc. for the drainage facility of the upper asset, and the lowest level Assets include pumps, civil engineering, drainage wells, and construction for the drainage basins of the above sub-assets. Represents major devices including fences, guard safety, inflows, outflows, bypass pipes, ventilation and other devices.

At this time, in the case of the earthquake damage assessment system 100 of the water supply network using the asset management according to the embodiment of the present invention, the earthquake damage is evaluated by classifying the water supply network according to the inventory technique of the water supply network asset management system 200. .

Referring to FIG. 8 , the segment data property setting unit 110 sets the aging property to reflect the effect of the aged pipe in the asset management data for each segment of the water pipe network established by the water pipe network asset management system 200 . At this time, the asset management data for each segment of the water supply network is built in advance through the asset management technique of the water supply network asset management system 200, and the components of the water supply network of the water supply network asset management system 200 are classified and created. Using the inventory technique, the old pipe attribute is assigned to the water supply network segment.

The fragility curve preparation unit 120 creates a fragility curve to which the stress change according to the aging of the water supply pipe network is applied. Here, the method of applying the stress change according to the aging of the water pipe network is as shown in Equations 5 to 7 below.

Specifically, the stress applied to the water supply network in an environment in which the water supply network is buried underground includes a stress transferred from the soil outside the pipe and a stress inside the pipe. It is known that the sum of these stresses is given as in Equation 5.

According to Equation 5, when a predetermined time (T) has elapsed from the initial laying of the water pipe, the ratio of the stress is given as in Equation 6 below.

는 초기 응력을 나타내며,

는 일정 시간 경과시의 응력을 나타낸다.here,

is the initial stress,

represents the stress over a certain period of time.

By converting Equation 6 into Equation 4 for the aforementioned pipe failure probability (Pf), Equation 7 below can be obtained.

Using Equation 7, when a certain time (T) has elapsed, a fragility curve to which the stress change according to the aging of the water supply network is applied can be created. In this case, the fragility curve applying the stress change according to the aging of the water supply network can be applied not only to the cast iron pipe, but also to the ductile cast iron pipe or other types of pipe, and it can reflect the resistance difference according to the aging, which is the aging change of the asset. there will be

On the other hand, the most reliable way to predict the change in stress due to aging is to take a sample directly from the water supply pipe network and perform a tensile force test. When a pit is formed in the pipe network due to corrosion, the tensile force is reduced according to the change in thickness. Although this tensile force test method is an accurate method, it takes a lot of time and money, so the stress reduction with age is predicted using the method of deriving an optimal formula by analyzing existing data, and then using this method to create a fragility curve to predict the water supply network to be damaged by earthquakes.

In general, the intensity of earthquakes uses a lot of PGV, and depending on its intensity, the water supply network to be damaged can be identified. If such a water pipe network is confirmed, the damage scale can be estimated, and earthquake disaster preparedness of the water pipe network can be managed in a direction to minimize the damage to the water pipe network.

Referring back to FIG. 8 , the seismic impact simulation performing unit 130 performs an earthquake impact simulation on the water supply pipe network segment according to a fragility curve to which a stress change according to the aging of the water supply pipe network is applied when an earthquake occurs. That is, if the fragility curve to which the stress change according to the aging of the water supply network is applied is input into the WNTR (Water Network Tool for Resilience) simulation program, the effect of earthquakes due to the aging of the water supply network can be grasped. Specifically, the inventory technique that classifies and prepares the components of the pipe network among the asset management techniques is very useful when operating such WNTR software. This is because the inventory technique makes it easy to categorize data, so it is good to consider the material, age, construction method, and environmental conditions of the pipe network.

For example, the fragility curve created in the earthquake damage assessment system of the water supply network using asset management according to the embodiment of the present invention can be created as shown in FIG. 10, and also, as shown in FIG. 11A Likewise, according to the degree of earthquake damage for each segment by the WNTR software, it can be divided into A, B, and C.

The aged pipe effect reflecting unit 140 reflects the effect of the aged pipe according to the aged pipe property set in the segment data property setting unit 110 to the earthquake effect simulation result. That is, when the old pipe is left unattended, the pipe network damage is predicted and reflected in the earthquake effect simulation result. For example, as shown in FIG. 11B , C may be divided into C1, C2, C3, C4, and C5 according to the aging effect.

Specifically, the degree of damage caused by an earthquake is affected by the properties of each segment of the water supply network. The properties for each segment of the water supply network include the material of the pipe, the length of the pipe, the year of laying the pipe, the load on the road where the pipe is buried, and the properties of the soil where the pipe is buried. For example, the property of the soil affects corrosion. At this time, the stress of the water pipe that has undergone a lot of corrosion is lowered, the remaining life is reduced, and the resistance to earthquakes is reduced. Accordingly, in the case of the earthquake damage evaluation system of the water supply pipe network using the asset management according to the embodiment of the present invention, the effect on the earthquake can be analyzed by reflecting the characteristics according to the aging of the water supply pipe.

The earthquake damage scale calculation unit 150, referring again to FIG. 8, calculates the earthquake damage scale of the water supply pipe network from the earthquake impact simulation result in which the effect of the old pipe is reflected. Specifically, the risk of the pipe network is an evaluation method in consideration of the likelihood of occurrence defined by Lawrence and the severity of the occurrence of the event, and is given as in Equation 8 below, and the same evaluation method is used in ISO It was also used in 2001.

) 및 피해에 따른 영향(

), 피해의 발생 전 탐지가능성(

) 등에 관해서 평가기준을 설정하였다. 결국, 이러한 평가기준에 따른 구성요소의 평가를 종합해서 리스크를 산정할 수 있으며, EPA(2012)에서 이용하는 리스크(Risk)는 다음의 수학식 9와 같이 산정할 수 있다.In addition, EPA (2012) used the concept of risk to analyze the effects of damage of various components of the system on the overall system. To use this risk concept, the expected damage frequency (

) and the impact of the damage (

), detectability before damage occurs (

), etc., evaluation criteria were established. After all, the risk can be calculated by synthesizing the evaluation of the components according to the evaluation criteria, and the risk used by the EPA (2012) can be calculated as in Equation 9 below.

는 피해 빈도수로서 피해확률(Probability of failure)을 나타내고,

는 피해에 따른 영향으로서 피해정도(Consequence of failure)를 나타내며,

은 피해 발생 전의 탐지가능성인 여력(Redundancy)을 나타낸다.here,

represents the probability of failure as the frequency of damage,

represents the sequence of failure as the effect of damage,

represents redundancy, which is the detectability before damage occurs.

Referring back to FIG. 8 , the earthquake damage recovery cost calculation unit 160 calculates the water pipe network earthquake damage recovery cost according to the magnitude of the earthquake damage of the water supply pipe network, and the water pipe network repair decision-making unit 170 is the water pipe network Decision-making is made to repair the water supply network according to the cost of recovering from earthquake damage. In this case, the decision making on the repair of the water supply pipe network may include decision making on the priority, construction cost, and schedule for the repair of the water supply network.

Specifically, the method of estimating the cost of recovering the earthquake damage by the earthquake damage recovery cost calculator 160 is as follows. For example, when a water pipe is damaged, the cost required according to the area, location, pipe diameter, pipe extension, etc. is compared and analyzed based on the outline calculation criteria of the Ministry of Environment. At this time, according to the simulation result of the assumed pipe breakage scenario, the construction cost per m of pipe diameter of the ductile cast iron pipe in each section can be analyzed. For example, in the embodiment of the present invention, when the pipe type of the target area is a ductile cast iron pipe, as shown in FIG. 12 , it is possible to represent a rough estimate of the construction cost according to the pipe diameter. Specifically, FIG. 12 is a standard for rough calculation of water facility operating cost and construction cost presented by the Ministry of Environment in 2016, and shows a standard for rough calculation of construction cost according to pipe diameter.

After all, in the case of the earthquake damage assessment system of the water supply network using asset management according to the embodiment of the present invention, the property of each segment of the water supply network is classified using the asset management technique for the systematic management of the water supply network, and the deterioration of each attribute It is possible to predict the degree of earthquake and accurately predict earthquake damage based on this. Accordingly, in the event of an earthquake, damage to the water supply network can be predicted more precisely, and the priority of recovery, recovery cost, and recovery period can be predicted.

In the case of the earthquake damage assessment system of a water supply network using asset management according to an embodiment of the present invention, it is possible to check the damaged or damaged piping in the water supply network when an earthquake occurs. Through this, the scale of damage to the water supply network can be calculated, the priority of repair work to reduce earthquake damage can be determined, and the construction cost can be calculated.

Meanwhile, FIGS. 13A to 13E are diagrams illustrating seismic risk solution operation results through WNTR-based water pipe network analysis to which an earthquake damage evaluation system of a water supply network using asset management is applied according to an embodiment of the present invention.

The seismic risk solution operation result through the WNTR-based water pipe network analysis to which the seismic damage evaluation system of the water supply pipe network using the asset management according to the embodiment of the present invention is applied may be shown as shown in FIG. 13A .

At this time, as shown in FIG. 13B, for example, the seismic effect of the water pipe network segment according to the seismic scenario including the epicenter coordinates, the earthquake depth, and the seismic intensity when an earthquake occurs in five stages of good, interest, caution, alert, and severe It can be evaluated by classifying, but is not limited thereto.

In addition, the risk distribution rate for each pipe aging according to the age of the water supply network segment can be represented as shown in FIG. 13c, and the aging pipe ratio of the water supply pipe network segment can be represented as shown in FIG. 13d, and also, As shown in FIG. 13E, the old age of the pipe is reflected according to the year of pipe laying, the diameter, and the pipe extension length.

Accordingly, the seismic damage evaluation system of the water supply pipe network using the asset management according to the embodiment of the present invention predicts the damage rate of the pipe in order to calculate the earthquake risk, but it is possible to determine the priority by comparing the risk values.

After all, in the case of an earthquake damage assessment system of a water supply network using asset management according to an embodiment of the present invention, by reflecting characteristics according to the aging of the water supply network such as pipe material, age, pipe length, and soil properties, the stress change in the water pipe However, the stress reduction with aging is expressed as a fragility curve over time, and the calculated value calculated through the calculation formulas such as Equations 5 to 7 is again inputted into the WNTR program, which is a damage scale simulation program due to earthquakes. It is possible to understand the damage and the magnitude of the impact caused by the earthquake due to the aging of the pipe network.

Accordingly, it is possible to check the water pipe network that may be damaged depending on the strength and intensity of the earthquake, calculate the damage size of the water pipe network, and manage the earthquake disaster in the direction of minimizing the damage risk.

[Method of evaluating earthquake damage in water supply network using asset management]

14 is an operation flowchart of an earthquake damage evaluation method of a water supply pipe network using asset management according to an embodiment of the present invention.

Referring to FIG. 14 , in the earthquake damage assessment method of a water supply network using asset management according to an embodiment of the present invention, first, asset management data for each water supply network segment is formed using the water supply network asset management system 200 . do (S110). At this time, the old pipe attribute is given to the water supply pipe network segment by using the inventory technique that classifies and creates the components of the water supply network of the water supply network asset management system 200 . For example, the properties for each segment of the water supply network include the material of the pipe, the length of the pipe, the year of laying the pipe, the load on the road in which the pipe is buried, and the properties of the soil in which the pipe is buried.

로 주어지고, 여기서,

로서,

는 초기 응력을 나타내며,

는 일정 시간 경과시의 응력을 나타내고,

은 관로의 수리율을 나타내며, L은 베관의 연장길이를 각각 나타낸다.Next, create a fragility curve to which the stress change according to the aging of the water supply network is applied (S120). At this time, the fragility curve is prepared by reflecting the material, age, etc. of the water supply pipe network. Specifically, it is expressed as a pipe failure probability (Pf) to apply a stress change according to the aging of the water supply pipe network, and at this time,

is given, where,

as,

is the initial stress,

represents the stress at the elapse of a certain time,

denotes the repair rate of the pipe, and L denotes the extension length of the pipe.

Next, when an earthquake occurs, an earthquake impact simulation is performed on the fragility curve to which the stress change according to the aging of the water supply network is applied (S130). In other words, in order to understand the effects of earthquakes according to the aging of the water supply network, the fragility curve to which the stress change according to the aging of the water supply network is applied is input to the WNTR (Water Network Tool for Resilience) simulation program to perform the earthquake impact simulation. .

Next, the effect of the aged pipe according to the properties of the old pipe is reflected in the earthquake effect simulation result (S140). Specifically, when the water pipe network is destroyed, damage should be minimized by repairing the pipe network with a high risk.

) 및 지진피해에 따른 영향(

), 지진피해의 발생 전 탐지가능성(

)의 평가기준에 따른 구성요소의 평가를 종합하여 리스크(Risk)로 산정하되, 상기 리스크는,

로 주어지고, 여기서,

는 피해 빈도수로서 피해확률(Probability of failure)을 나타내고,

는 피해에 따른 영향으로서 피해정도(Consequence of failure)를 나타내며,

은 피해 발생 전의 탐지가능성인 여력(Redundancy)을 나타낸다.Next, the earthquake damage scale of the water supply pipe network is calculated from the earthquake impact simulation results reflecting the effects of the old pipe (S150). At this time, the earthquake damage is the expected frequency of earthquake damage (

) and the effects of earthquake damage (

), detectability before earthquake damage occurs (

) by combining the evaluation of the components according to the evaluation criteria, and calculating the risk as a risk,

is given, where,

represents the probability of failure as the frequency of damage,

represents the sequence of failure as the effect of damage,

represents redundancy, which is the detectability before damage occurs.

Next, the water pipe network earthquake damage recovery cost is calculated according to the earthquake damage scale of the water supply pipe network (S160).

Next, the water supply pipe network repair decision is made according to the earthquake damage recovery cost of the water supply pipe network (S170). Here, the water pipe network repair decision may include a decision on priority, construction cost, and schedule for water pipe network repair.

After all, according to an embodiment of the present invention, when an earthquake occurs, the damage scale is predicted through the water pipe network simulation, the old pipe is improved in a direction to reduce the damage scale, and the priority of the water pipe network repair is determined, and the repair construction cost and repair schedule can be predicted.

The foregoing description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be interpreted as being included in the scope of the present invention. do.

100: Seismic damage assessment system of water supply network
200: water pipe network asset management system 110: segment data property setting unit
120: Fragility curve creation unit 130: Earthquake impact simulation execution unit
140: Old pipe impact reflection unit 150: Earthquake damage scale calculation unit
160: Earthquake damage recovery cost calculation unit 170: Water pipe network repair decision-making unit

Claims (12)

Segment data property setting unit 110 for setting aging properties to reflect the influence of aging pipes in the asset management data for each segment of the established water supply pipe network;
Fragility curve creation unit 120 for creating a fragility curve to which a stress change according to the aging of the water supply pipe network is applied according to the material and age of the water supply network;
Seismic impact simulation performing unit 130 for performing seismic impact simulation on the water supply pipe network segment according to the fragility curve to which the stress change according to the aging of the water supply pipe network is applied when an earthquake occurs;
an aging pipe effect reflecting unit 140 for reflecting the aging pipe effect according to the aged pipe property set in the segment data property setting unit 110 to the earthquake impact simulation result;
an earthquake damage scale calculation unit 150 for calculating the earthquake damage scale of the water supply pipe network from the earthquake impact simulation result reflecting the effect of the old pipe;
an earthquake damage recovery cost estimator 160 that calculates a water pipe network earthquake damage recovery cost according to the scale of the water pipe network earthquake damage; and
Including a water supply pipe network repair decision-making unit 170 that performs a water pipe network repair decision-making according to the cost of repairing the water pipe network earthquake damage,
The asset management data for each segment of the water supply network is built in advance through the asset management method of the water supply network asset management system 200, and an inventory technique for classifying and creating the components of the water supply network of the water supply network asset management system 200 Seismic damage assessment system for water supply network using asset management, characterized in that the aging pipe attribute is assigned to the water supply pipe network segment using According to claim 1,
The fragility curve creation unit 120 represents a pipe failure probability (Pf) to apply a stress change according to the aging of the water supply pipe network, and at this time,

is given, where,

as,

is the initial stress,

represents the stress at the elapse of a certain time,

is an earthquake damage assessment system of a water supply pipe network using asset management, characterized in that, indicates the repair rate of the pipe, and L indicates the extension length of the pipe. 3. The method of claim 2,
The seismic effect simulation performing unit 130 inputs the vulnerability curve to which the stress change according to the aging of the water supply pipe network is applied to the WNTR (Water Network Tool for Resilience) simulation program to understand the effects of earthquakes due to the aging of the water supply pipe network. Seismic damage assessment system of water supply pipe network using asset management, characterized in that According to claim 1,
The segment data property setting unit 110 seismic damage assessment of the water supply pipe network using asset management, characterized in that it sets the properties of the aged pipe network including the pipe material, pipe length, pipe laying year, road load and soil system. According to claim 1,
The earthquake damage is the expected frequency of earthquake damage (

) and the effects of earthquake damage (

), detectability before earthquake damage occurs (

) by combining the evaluation of the components according to the evaluation criteria, and calculating the risk as a risk,

is given, where,

represents the probability of failure as the frequency of damage,

represents the sequence of failure as the effect of damage,

Seismic damage assessment system of water supply pipe network using asset management, characterized in that it represents redundancy, which is the detectability before damage occurs. According to claim 1,
The water pipe network repair decision-making unit 170 is an earthquake damage assessment system for water pipe network using asset management, characterized in that the decision-making on priority, construction cost, and schedule for water pipe network repair. a) using the water supply network asset management system 200 to form asset management data for each of the water supply network segments, and set properties of the old water pipe network segments;
b) creating a fragility curve to which the stress change according to the aging of the water supply network is applied;
c) performing seismic impact simulation on the fragility curve to which the stress change according to the aging of the water supply pipe network is applied when an earthquake occurs;
d) reflecting the effect of the aged pipe according to the properties of the old pipe to the earthquake impact simulation result;
e) estimating the magnitude of earthquake damage in the water supply pipe network from the earthquake impact simulation results reflecting the effects of old pipes;
f) estimating the earthquake damage recovery cost of the water pipe network according to the magnitude of the earthquake damage in the water pipe network; and
g) making a decision to repair the water pipe network according to the earthquake damage recovery cost of the water pipe network;
Earthquake of water pipe network using asset management, characterized in that the aging pipe attribute is assigned to the water pipe network segment using the inventory technique that classifies and creates the components of the water pipe network of the water pipe network asset management system 200 in step a) How to assess damage. 8. The method of claim 7,
The aging pipe properties of the water supply pipe network in step a) include the pipe material, pipe length, pipe laying year, road load, and soil earthquake damage evaluation method of the water pipe network using asset management. 8. The method of claim 7,
In step b), it is expressed as a pipe failure probability (Pf) to apply the stress change according to the aging of the water supply network, and at this time,

is given, where,

as,

is the initial stress,

represents the stress at the elapse of a certain time,

An earthquake damage assessment method of a water supply pipe network using asset management, characterized in that is represents the repair rate of the pipe, and L represents the extension length of the pipe. 10. The method of claim 9,
In step c), the fragility curve to which the stress change according to the aging of the water supply network is applied is input to a WNTR (Water Network Tool for Resilience) simulation program to understand the effect of earthquakes due to the aging of the water supply network. Seismic damage assessment method of water pipe network using asset management. 8. The method of claim 7,
The earthquake damage in step e) is the expected frequency of earthquake damage (

) and the effects of earthquake damage (

), detectability before earthquake damage occurs (

) by combining the evaluation of the components according to the evaluation criteria, and calculating the risk as a risk,

is given, where,

represents the probability of failure as the frequency of damage,

represents the sequence of failure as the effect of damage,

Seismic damage assessment method of water supply pipe network using asset management, characterized in that it represents redundancy, which is the detectability before damage occurs. 8. The method of claim 7,
The water supply pipe network repair decision in step g) is an earthquake damage assessment method of a water supply pipe network using asset management, characterized in that it is a decision on the priority, construction cost, and schedule for the repair of the water supply pipe network.

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