• 대한전자공학회논문지TC
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• 제42권11호
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• pp.101-106
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• 2005

초광대역 임펄스를 이용한 비파괴 지중 금속 매설물 탐지용 지반 탐사 레이더(Ground penetrating image radar:GPR)를 개발하였다. 탐사 지면의 상대 유전율을 측정하였고, 최대 탐사 깊이 1m 이내의 측정이 가능하도록 시스템을 설계하였다. 전체 경로 감쇄, 시스템의 크기, 해상도를 고려하여 최고 주파수 및 최저 주파수를 선택하였다. 선택된 주파수에 맞는 1 나노세컨더(ns) 이하의 상승 시간을 갖는 초광대역 임펄스를 선택하였으며, 사용한 임펄스의 주파수 범위를 고려하여 소형 평판형 초광대역 다이폴 안테나를 설계하였다. 또한, 지중으로부터 반사되는 신호를 수신하기 위해서 디지털 오실로스코프를 사용하였다. 측정은 monostatic 방식과 마이그레이션(migration) 기법을 사용하였다. 지중 매설물의 영상 처리를 위해서는 A-scan 및 B-scan 평균 제거 방식을 사용하였다. 개발된 시스템은 금속 물체와 비금속 물체가 매설된 실증 시험장에서 시험되었고, 수 센티미터 직경의 작은 지중 금속 매설물까지도 탐지할 수 있는 우수한 성능을 가짐을 보였다.

• Computers and Concrete
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• 제21권4호
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• pp.407-417
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• 2018

Concrete which is a composite material is one of the most important construction materials. Compressive strength is a commonly used parameter for the assessment of concrete quality. Accurate prediction of concrete compressive strength is an important issue. In this study, we utilized an experimental procedure for the assessment of concrete quality. Firstly, the concrete mix was prepared according to C 20 type concrete, and slump of fresh concrete was about 20 cm. After the placement of fresh concrete to formworks, compaction was achieved using a vibrating screed. After 28 day period, a total of 100 core samples having 75 mm diameter were extracted. On the core samples pulse velocity determination tests and compressive strength tests were performed. Besides, Windsor probe penetration tests and Schmidt hammer tests were also performed. After setting up the data set, twelve artificial intelligence (AI) models compared for predicting the concrete compressive strength. These models can be divided into three categories (i) Functions (i.e., Linear Regression, Simple Linear Regression, Multilayer Perceptron, Support Vector Regression), (ii) Lazy-Learning Algorithms (i.e., IBk Linear NN Search, KStar, Locally Weighted Learning) (iii) Tree-Based Learning Algorithms (i.e., Decision Stump, Model Trees Regression, Random Forest, Random Tree, Reduced Error Pruning Tree). Four evaluation processes, four validation implements (i.e., 10-fold cross validation, 5-fold cross validation, 10% split sample validation & 20% split sample validation) are used to examine the performance of predictive models. This study shows that machine learning regression techniques are promising tools for predicting compressive strength of concrete.

• 박물관보존과학
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• 제23권
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• pp.91-108
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• 2020

본 연구는 천안, 공주, 서산, 익산, 나주, 합천에서 출토된 금동관 7점을 중심으로 비파괴 분석법을 활용하여 재질 특성을 조사하였다. 금동관은 고깔 모양의 모관을 기본으로 하며, 전·후입식, 대롱, 수발, 영락 등의 장식을 가감하여 부착된다. 문양은 용문, 봉황문, 초화문, 타출문 등을 조금기법, 투조기법, 인각기법 등으로 시문하였다. 형태적 특징은 제작시기 및 출토 지역에 따라 차이를 보인다. 소지 금속은 순동과 소량의 납이 포함된 동으로 구분된다. 표면 도금은 아말감기법을 사용하였으며, 순금과 소량의 은이 함유된 금으로 분류된다. 옥전 23호 출토품의 은 함량이 높아 지역적인 차이를 보인다. 도금 두께는 백제 금동관에 비해 백제계 금동관인 옥전 23호분이 두꺼운 것으로 평가된다. 도금횟수는 1~2회인 반면 백제계 금동관인 합천 옥전 23호분 금동관은 최대 3회로 평가되며, 차이를 보이는 것을 알 수 있다.

• 비파괴검사학회지
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• 제28권3호
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• pp.302-308
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• 2008

Composite materials are widely used as structural materials for aerospace engineering because of its excellent mechanical properties such as light weight, high stiffness, and low thermal expansion. In driving, impact damage is one of the common but dangerous damages, caused by internal failure of the laminas interface which is not detected by in the surface. Many techniques to detect defects or delaminate between laminates have been reported. Shearography is a kind of laser speckle pattern interferometry with the advantages of non-destructive, non-contact, high resolution and displacement slope measurement. In this paper, the shearography is used to evaluate non-destructively impact damaged surface of the composite material and a measuring method using shearography for the thermal deformation of a impact damaged composite material is discussed. The basic principles of the technique are also described briefly.

• 한국터널지하공간학회 논문집
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• 제25권6호
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• pp.479-493
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• 2023

터널과 공동구와 같은 지하구조물의 공용연수가 증가하고 노후화로 인한 사고로 인하여 안전 관리의 필요성이 대두되고 있다. 다만, 민간이 관리 주체인 일반 지하구의 경우 시설물 안전 및 유지관리 세부지침이 미흡하여 안전 관리가 부실한 상황이다. 또한 일반 지하구는 기본 설계 정보가 부족하고 안전 관리자가 안전 진단을 수행하기 위한 공간이 협소하여 기존 비파괴 검사법들의 적용에 한계가 있다. 따라서 본 연구에서는 박스형 일반 지하구의 안전 진단을 위한 기초 자료로 사용될 수 있는 구조물의 두께·철근 유무와 철근 깊이·내부 결함의 유무 및 깊이 등을 판단할 수 있는 품질 평가를 위한 초음파법과 충격 반향 기법 바탕의 비파괴 검사 방법을 제안하였다. 일반 지하구의 실제 현장 조건에서의 제안한 방법의 유효성을 검토하기 위해 콘크리트 벽체 모형 실험체들을 제작하여, 본 연구를 통해 제안한 방법론을 검증하였다. 초음파 신호와 충격 신호를 활용하여 신호를 인가하여, 다채널로 구성된 가속도계를 통해 신호를 수집하고, 최종적으로 모사된 시편의 두께 및 내부에 삽인 된 철근과 구현된 결함의 깊이를 도출하였으며, 실측치와의 비교를 통해 예측한 깊이가 설계한 깊이와 효과적으로 부합하는 것을 확인하였다. 본 연구 결과를 통해 일반 지하구 현장에서 활용할 수 있는 안전 진단 방법의 도출에 기여할 것으로 기대된다.

• KIEAE Journal
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• 제7권4호
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• pp.147-152
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• 2007

Numerous non-destructive tests(NDT) to assess the safety of real structures have been developed. System identification(SI) techniques using dynamic responses and behaviors of structural systems become an outstanding issue of researchers. However the conventional SI techniques are identified to be non-practical to the complex and tall buildings, due to limitation of the availability of an accurate data that is magnitude or location of external loads. In most SI approaches, the information on input loading and output responses must be known. In many cases, measuring the input information may take most of the resources, and it is very difficult to accurately measure the input information during actual vibrations of practical importance, e.g., earthquakes, winds, micro seismic tremors, and mechanical vibration. However, the desirability and application potential of SI to real structures could be highly improved if an algorithm is available that can estimate structural parameters based on the response data alone without the input information. Thus a technique to estimate structural properties of building without input measurement data and using limited response is essential in structural health monitoring. In this study, shaking table tests on three-story plane frame steel structures were performed. Out-put only model analysis on the measured data was performed, and the dynamic properties were inverse analyzed using least square method in time domain. In results damage detection was performed in each member level, which was performed at story level in conventional SI techniques of frequency domain.

• Journal of Animal Science and Technology
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• 제66권1호
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.2691-2696
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• 2011

THE CARBODY AND BOGIE FRAME OF AN URBAN RAILWAY VEHICLE CONSIST OF MULTI-LAYERED WELDING STRUCTURE. IN KOREA ENDURANCE LIMIT OF AN URBAN RAILWAY VEHICLE IS STSTED IN THE RULE OF MANAGING URBAN RAILWAY VEHICLE UNDER THE LAW OF URBAN RAILWAY. IN KOREA AN URBAN RAILWAY VEHICLE IS DESIGNED AND MADE TO KEEP ITS QUALITY OVER 25 YEARS. WHEN THE RAILWAY VEHICLE BECOMES 25 YEARS OLD, CORROSION OF CARBODY AND UNDER FRAME OF A RAILWAY VEHICLE IS EVALUATED ACCORDING TO THE NON-DESTRUCTIVE TESTING. IT CAN BE USED AS LONG AS 40 YEARS. IT IS STATED IN THE ARTICLE 4 'THE METHOD AND STANDARDS OF PRECISE DIAGNOSIS' UNDER THE RULE OF MANAGING RAILWAY VEHICLE IN KOREA. SO, IN THIS STUDY, WE HAVE INVESTIGATED PERFORMANCE OF PULSED EDDY CURRENT TESTING METHOD BY MEASURING THICKNESS VARIATION OF FABRICATE OF CARBODY AND UNDER FRAME FOR URBAN RAILROAD CAR. AND THEM, THE PROCESS OF EVALUATING REMAINING LIFE ACCORDING TO TESTING OF CORROSION AMOUNT IS INTRODUCED.

• 대한기계학회논문집
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• 제8권1호
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• pp.41-47
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• 1984

Increase of the requirements on quality of welded structures necessitates the improvement of known inspection methods and the introduction of progressive new techniques. Non-destructive methods are the most advanced, but there are considerable difficulties in using the methods of radiography with electromagnetic rays and ultrasonic testing in the inspection of dissimilar metal friction welds, because their physical and mechanical properties are changed very rapidly at the interface. The values of simple mechanical test for dissimilar metal friction welds have always been dubious, as the strength of the bond is often greater than that of the softer materials being jointed. Thus, in this paper some conventional mechanical testing methods are examined in an attempt to determine a technique for dissimilar metal friction welds, which will give a reliable quantitative indication of the weld quality. From the considered static and dynamic testing methods the impact bending test on unnotched and notched specimens are the most sensitive to find out the small joining defects in the interface.

• 비파괴검사학회지
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• 제26권6호
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• pp.373-379
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• 2006

Vibration-based structural health monitoring is one of non-destructive evaluation (NDE) techniques for civil infrastructures. This paper presents a novel fiber optic accelerometer system to monitor civil engineering structures and a successful application of the novel sensor system for measuring ambient vibration of a real building structure. This sensor system integrates the Moire fringe phenomenon with fiber optics to achieve accurate and reliable measurements. The sensor system is immune to electromagnetic (EM) interference making it suitable for difficult applications in such environments involving strong EM fields, electrical spark-induced explosion risks, and cabling problems, prohibiting the use of conventional electromagnetic accelerometers. A prototype sensor system has been developed, together with a signal processing software. The experimental studies demonstrated the high-performance of the fiber optic sensor system. Especially, the sensor was successfully used for monitoring a real building on UCI (University of California Irvine, USA).