KR20080003165U - Prediction System of Service Lifetime due to Corrosion on Marine Structure - Google Patents
Prediction System of Service Lifetime due to Corrosion on Marine Structure Download PDFInfo
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- KR20080003165U KR20080003165U KR2020070002009U KR20070002009U KR20080003165U KR 20080003165 U KR20080003165 U KR 20080003165U KR 2020070002009 U KR2020070002009 U KR 2020070002009U KR 20070002009 U KR20070002009 U KR 20070002009U KR 20080003165 U KR20080003165 U KR 20080003165U
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- 238000005260 corrosion Methods 0.000 title claims abstract description 39
- 230000007797 corrosion Effects 0.000 title claims abstract description 39
- VEXZGXHMUGYJMC-UHFFFAOYSA-M Chloride anion Chemical compound [Cl-] VEXZGXHMUGYJMC-UHFFFAOYSA-M 0.000 claims abstract description 15
- 238000013461 design Methods 0.000 claims abstract description 5
- 238000009792 diffusion process Methods 0.000 claims description 16
- 230000010287 polarization Effects 0.000 claims description 7
- 239000004568 cement Substances 0.000 claims description 6
- 230000035515 penetration Effects 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000002787 reinforcement Effects 0.000 claims description 4
- 238000002474 experimental method Methods 0.000 claims description 3
- 238000005336 cracking Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 claims 14
- 238000010998 test method Methods 0.000 claims 3
- 238000007654 immersion Methods 0.000 claims 2
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 claims 1
- 239000011248 coating agent Substances 0.000 claims 1
- 238000000576 coating method Methods 0.000 claims 1
- 238000002845 discoloration Methods 0.000 claims 1
- 239000013535 sea water Substances 0.000 claims 1
- 238000010276 construction Methods 0.000 abstract description 2
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000003745 diagnosis Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 8
- 230000018109 developmental process Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011234 economic evaluation Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012925 reference material Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
- G01N17/02—Electrochemical measuring systems for weathering, corrosion or corrosion-protection measurement
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/38—Concrete; Lime; Mortar; Gypsum; Bricks; Ceramics; Glass
- G01N33/383—Concrete or cement
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- Food Science & Technology (AREA)
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Abstract
본 고안은 해양 구조물의 부식에 의한 수명을 온라인 상에서 예측하는 전문가 시스템 구성에 관련된 것이다. 이 예측 시스템을 구성함으로써 최근 들어 건설이 증가하고 있는 해양 구조물의 설계나 관리가 용이해 질 수 있다. 해양 구조물 설계 과정에서 필요한 내구성 설계의 경우 염화물에 의한 부식이 우선시 고려되는데 이 실용신안의 시스템을 이용하여 구조물을 구성하는 최적의 재료나 피복두께를 산정함으로써 사용수명을 높이는 효과가 있다. 또한 이미 건설된 해양 구조물에 대한 사용 수명 평가도 가능함으로 안전진단 및 보수보강 시기를 결정하는 것이 가능해진다. The present invention relates to the construction of an expert system for predicting the on-line lifetime of corrosion of offshore structures. By constructing this forecasting system, it is easy to design and manage offshore structures, which have been increasing in recent years. In the design of durability required in the design of offshore structures, corrosion by chloride is considered first. Using the utility model system, it is effective to increase the service life by calculating the optimal material or cover thickness of the structure. In addition, it is possible to evaluate the service life of already constructed offshore structures, which makes it possible to determine the timing of safety diagnosis and maintenance.
해양 구조물, 부식, 수명예측, 내구성 Offshore Structure, Corrosion, Life Prediction, Durability
Description
도 1은 해양 구조물의 부식에 의한 수명 예측 시스템 개요도이다.1 is a schematic diagram of a life prediction system due to corrosion of an offshore structure.
도 2는 실험 데이터를 이용한 확산계수 입력부 개요도이다.2 is a schematic diagram of a diffusion coefficient input unit using experimental data.
도 3은 본 고안의 사용자가 참고자료 및 문헌을 통하여 수집된 강도 및 물-시멘트비를 입력하는 장치의 개요도이다.3 is a schematic diagram of a device for inputting the strength and water-cement ratio collected by the user of the present invention through the references and literature.
도 4는 예측하고자 하는 대상이 되는 해양 구조물의 모델링을 하는 장치의 개요도이다.4 is a schematic diagram of an apparatus for modeling an offshore structure to be predicted.
도 5는 본 고안에서 구축된 시스템을 구동할 경우 구조물의 위치한 염화물 조건 및 환경조건을 입력하는 장치의 개요도이다.Figure 5 is a schematic diagram of a device for inputting the chloride condition and environmental conditions located in the structure when driving the system constructed in the present invention.
도 6은 현장이나 문헌자료로부터 조사된 분극저항 및 자연전위를 입력하는 장치의 개요도이다.6 is a schematic diagram of a device for inputting polarization resistance and natural potential irradiated from field or literature data.
도 7은 입력된 값과 결과 값을 사용자가 한 화면에 보고 수정이나 획득하는 출력장치의 개요도이다.7 is a schematic diagram of an output device in which a user views, corrects, or obtains an input value and a result value on one screen.
도 8은 시스템에서 계산된 확산계수를 토대로 농도 프로파일 및 확산계수를 보여주는 출력장치의 개요도이다.8 is a schematic diagram of an output device showing a concentration profile and a diffusion coefficient based on the diffusion coefficient calculated in the system.
본 고안은 온라인 상에서 사용자가 손쉽게 해양 구조물의 부식에 의한 수명을 예측하는 시스템에 관한 것이다. The present invention is directed to a system in which a user easily predicts the lifetime due to corrosion of offshore structures.
최근, 콘크리트 구조물의 건설에 있어 내구성을 고려한 경제성평가 및 보수 보강 시기의 결정 등 지금까지 고려하지 않았던 구조물의 수명에 대한 연구 필요성이 크게 대두되고 있으며, 구조물의 대형화 및 고급화에 힘입어 해양구조물이 날로 증가하고 있다. 국내외에서는 구조물의 수명을 예측하기 위하여 많은 연구가 수행되고 있다. 이러한 결과에 기초하여 외국에서는 오프라인에서 부식에 의한 구조물의 수명이 예측 가능한 1차원의 시스템이 개발되었으며, 많은 설계자나 현장 실무자가 사용하고 있다. 그러나, 종래의 기술은 사용자들이 손쉽게 접근이 용이하지 못한 단점이 있으며, 국내에서는 이러한 프로그램 개발이 많지 않은 상태이다. 특히, 해양 구조물에 관한 온라인 상에서의 수명예측 시스템 개발은 전무한 상태이다. Recently, the necessity of research on the life of the structure, which has not been considered until now, such as the economic evaluation considering the durability and the determination of the reinforcement time in the construction of the concrete structure, has emerged greatly. It is increasing. At home and abroad, many studies have been conducted to predict the life of structures. Based on these results, a one-dimensional system has been developed that can predict the lifespan of structures offline in foreign countries, and is used by many designers and field practitioners. However, the conventional technology has a disadvantage in that the users are not easily accessible, and there are not many such program developments in Korea. In particular, there is no development of on-line life prediction systems for offshore structures.
본 고안은 상기와 같은 문제점을 해결하기 위하여 안출된 것으로서, 사용자가 직접적인 실험을 수행하여 얻은 데이터나 현장에서 측정된 압축강도 데이터, 물-시멘트비데이터를 가지고 있을 경우 손쉽게 염화물 확산계수를 얻을 수 있도록 구성한다. 획득된 확산계수는 구조물의 부식 발생시기를 예측 가능하며, 부식 발생 후의 사용수명이 산정되도록 구성되는 것이 본 고안에서의 시스템 특징이다. 특히, 사용 자가 온라인 상에서 해양 구조물의 현재 부식 상태의 평가가 가능하고, 잔존 수명 및 보수보강 시기를 결정하는 것이 가능한 것이 장점이다. 또한, 해양 구조물의 부식에 의한 수명 예측이 오랜 시간이 걸리는 문제점이 개선된다. The present invention was devised to solve the above problems, and it is configured to easily obtain the chloride diffusion coefficient when the user has the data obtained by performing a direct experiment, the compressive strength data measured in the field, and the water-cement ratio data. do. The obtained diffusion coefficient predicts the corrosion occurrence time of the structure, and it is a feature of the system in the present invention that it is configured to calculate the service life after corrosion occurrence. In particular, it is advantageous for the user to be able to assess the current corrosion state of the offshore structure online and to determine the remaining life and reinforcement timing. In addition, the problem that the life expectancy due to corrosion of offshore structures takes a long time is improved.
본 고안의 해양 구조물의 부식에 의한 사용수명 예측 시스템은 크게 부식 개시 시기의 예측부(100)과 부식 후의 사용수명 예측부(200), 온라인 변화부(300)로 구성된다. 부식 개시 시기 예측부(100)는 염화물 확산 실험(110), 문헌이나 참고자료에 의한 강도 및 물-시멘트비(120), 염화물 및 환경조건 입력부(140)와 구조물의 모델링(130), 확산계수 및 침투특성 예측부(150)와 부식개시시기 예측부(160)로 시스템이 완성된다. The service life prediction system due to corrosion of the marine structure of the present invention is largely composed of the
부식 후의 사용수명 예측부(200)는 수집된 분극저항 및 자연전위 입력부(210), 부식속도 및 부식율 산출부(220), 부식균열시기 예측부(230)로 구성된다. The
온라인 변환부(300)는 구성된 시스템을 온라인 상에서 사용자가 쉽게 사용할 수 있도록 구성된다. The
본 고안의 해양 구조물의 부식에 의한 수명예측 시스템은 온라인 상에서 사용자가 손쉽게 구조물의 부식특성 및 염화물 침투 특성, 부식 및 균열 발생시기를 파악할 수 있어 사용수명 예측이 빠른 효과가 있다. The life prediction system due to corrosion of marine structures of the present invention enables users to easily identify the corrosion characteristics, chloride penetration characteristics, corrosion and crack occurrence times of structures on-line, and thus have a fast life expectancy effect.
또한, 다양한 확산 계수 예측이 가능한 시스템 구성으로 인하여 국내외 사용자의 선택성을 높일 수 있으며, 구조물의 부식 특성에 대한 이해를 향상 시킬 수 있다. 해양 구조물에 설계 및 유지 관리 종사자, 연구기관에서의 참고자료로의 활용이 가능한 장점이 있다. 또한, 해양 구조물의 사용 수명 및 내구성을 높일 수 있다. In addition, due to the system configuration capable of predicting various diffusion coefficients can increase the selectivity of users at home and abroad, and can improve the understanding of the corrosion characteristics of the structure. It has the advantage that it can be used as reference material for design and maintenance workers and research institutes in offshore structures. In addition, the service life and durability of the offshore structure can be increased.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101528893B1 (en) * | 2013-12-05 | 2015-06-18 | 서울대학교산학협력단 | Simulation System of Deterioration of reinforced concrete structure in the marine environment |
KR20180075886A (en) * | 2016-12-27 | 2018-07-05 | 영산대학교산학협력단 | Corrosion Prediction System Of Building Using Modeling |
KR20220088057A (en) | 2020-12-18 | 2022-06-27 | 한국과학기술원 | Predictive method of steel corrosion of reinforced concrete structures exposed to high pressure immersion environment |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101528893B1 (en) * | 2013-12-05 | 2015-06-18 | 서울대학교산학협력단 | Simulation System of Deterioration of reinforced concrete structure in the marine environment |
KR20180075886A (en) * | 2016-12-27 | 2018-07-05 | 영산대학교산학협력단 | Corrosion Prediction System Of Building Using Modeling |
KR20220088057A (en) | 2020-12-18 | 2022-06-27 | 한국과학기술원 | Predictive method of steel corrosion of reinforced concrete structures exposed to high pressure immersion environment |
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