A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's λ, D&B(Rij) & Tou are discussed.

The objective of this study is to evaluate the mechanical behaviors and structural integrity of the weldment of high strength steel by using an acoustic emission (AE) techniques. Monotonic simple tension and AE tests were conducted against the 3 kinds of welded specimen. In order to analysis the effectiveness of weldability, joinability and structural integrity, we used K-means clustering method as a unsupervised learning pattern recognition algorithm for obtained multi-variate AE main data sets, such as AE counts, energy, amplitude, hits, risetime, duration, counts to peak and rms signals. Through the experimental results, the effectiveness of the proposed method is discussed.

The objective of this study is to evaluate the mechanical behaviors and structural integrity of the weldment of high strength steel by using an acoustic emission (AE) techniques. Simple tension and AE tests were conducted against the 3 kind of welding test specimens. In order to analysis the effectiveness of weldability, joinability and structural integrity, we used K-means clustering method as a unsupervised learning pattern recognition algorithm for obtained multivariate AE main data sets, such as AE counts, energy, amplitude, hits, risetime, duration, counts to peak and rms signals. Through the experimental results, the effectiveness of the proposed method is discussed.

In this work, the carbon fibers-reinforced carbon matrix composites made with different carbon char yields of phenolic resin matrix have been characterized by mechanical flexural tests for acoustic emission properties. The composites had been fabricated in the form of two-dimensional polyacrylonitrile based carbon fibers during the carbonization process. It was found that the composites made with the carbon char yield-rich of resin matrix result in better mechanical interfacial properties, i.e., the interlaminar shear strength (ILSS) of the composites. The data obtained from the acoustic emission monitored appeared to show that the composites made with carbon char yield-rich were also more ductile. From the acoustic emission results, the primary composite failure was largely depended on the debonding at interfaces between fibers and matrix. The interlaminar shear strengths of the composites were correlated with the acoustic emission results.

bismaleimide취약성을 개선 하기 위하여 toughening agent인 TM120을 첨가하여 carbon/(± 45˚)2s를 제조하고 이들의 파손과 기계적 특성을 인당실험과 음향방출을 통해 자세히 논하였다. 첨가하는 TM120의 비율은 0, 5, 10, 15, 20, 25phr이었고, 1, 4-diazobicyclo-(2, 2, 2)-octane(DABCO) 0.2phr를 경화 촉진제로 사용하였다. 또한, 탄소 섬유는 Toray사의 T300를 사용하였고, 음향방출과 인장실험 결과로 TM120이 적당한 첨가량은 20phr이었으며, TM120은 cabon/(± 45˚)2s의 파손특성과 기계적물성에 많은 영향을 미쳤다.

유리 원형 평판에서 힘의 세기가 1 dyne이고 면에 수직하게 작용하는 Heaviside계단 함수의 시간 의존성을 갖는 점 하중에 의한 진앙점에서 수직 변위를 이론적으로 계산하였다. 연필심 파괴시 방출되는 음향방출신호를 안정화회로가 부착된 Michelson 간섭계로 측정하여, 음향방출 발생원함수를 deconvolution방법을 이용하여 해석하였다. 연필심 파괴시 방출되는 음향방출 발생원을 파 전면에 약 0.7μsec의 지속시간이 갖는 dip부분과 약 0.5μsec인 계단 상승시간과 약 4.5N의 힘의 크기를 갖는 계단함수의 형태였다.

Acoustic Emission (AE) technique applied to detect the crack occurrence of the actual beam element. An optimum position for a limited number of AE transducer was considered to accurately detect the location of the cracks in the three-dimensional space. Six AE transducer was used to detect cracks in the L400mm×H200mm×T100mm region, and several position combinations were applied. Considerable six position combinations were selected, and the weak or incorrect position detection was investigated. The optimum position applied to the experiment for actual beam element and the detected crack position was compared with the visual inspection location. A reliable crack position detecting was confirmed for loadings.

본 연구에서는 음향 방출 기법을 사용하여 강연선(7-wire strand)의 손상을 감지하기 위한 기초 실험을 수행하였다. 강연선은 주로 교량에 추가적인 인장력을 제공하기 위해 널리 사용되는 건설 자재이다. 프리스트레스 교량 또는 사장교가 대표적인 경우이다. 그러나 교량 노화가 급격히 진행되면서 강연선 부식 문제가 대두되고 있다. 이러한 이유로 케이블 점검을 위한 다양한 비파괴 방법이 연구되고 있고 현장 적용 이 시도되고 있다. 비파괴 방법 ??중 하나인 음향 방출 기법은 케이블 손상 및 파단을 감지하는 효과적인 기술로 알려져 있다. 본 연구에서는 음향 방출 기법의 교량에 대한 적용 가능성을 평가하기 위해 강연선의 손상에 따른 음향 방출 신호 특성을 인장 실험을 분석 하고, 현장 적용을 위한 최적 센서 주파수 타입을 선정하였다. 결과적으로, 음향 방출 기법을 활용하여 향후 교량 케이블의 부식 파단 및 파단 징후를 감지 할 수 있다 고 여겨진다.

This paper presents the assessment of 7-wire strand monitoring using acoustic emission technique for bridges. 7-wire strand is widely used construction materials to provide additional tensile force to bridges. PSC (PreStressed Concrete) bridge and cable-stayed bridge are representatives for such cases. However, as the bridge aging progresses recently, corrosion problems of strand are emerging. For this reason, various NDT (Non-Destructive Test) methods for cable inspection are being studied and applied to the field. One of the NDT methods, acoustic emission technique, is known as an effective technique to detect cable damage and breakage. In this study, to evaluate the applicability of acoustic emission technique to bridges, acoustic emission signals according to presence or absence of the strand were acquired and analyzed by tensile test. As a result, it is considered that the acoustic emission technique will be able to detect corrosion breakage and signs of rupture.

This paper aims to develop the AE non-destructive testing equipment and signal analysis method for external tendon of PSC (Pre-Stressed Concrete) bridge. The AE NDT equipment, which has developed in this research, is composed of AE sensor, signal receiver, hitting device, driving part and main frame. Defective and non-defective specimens, designed to emulate signal characteristics for external duct with void(25%, 50% and 100%) or not, were constructed and tested to verify the effectiveness of AE NDT equipment. Test results and AE parameters comparisons between defective and non-defective specimens are presented.

The acoustic emission technique (AE) was implemented to assess long-term performance of concrete beams (reinforced with glass fiber reinforced polymers (GFRP) and steel bars) exposed to an aggressive combination of high temperature and humidity. This study presents the results and discussions of an experimental study concerning AE characteristics of long-term behaviors of concrete beams reinforced with GFRP and steel bars after accelerated

폐콘크리트로부터 생산된 순환골재의 사용은 환경보존과 자원의 재활용 관점에서 매우 유용하며, 순환골재 콘크리트에서 압축, 인장, 휨 및 부착강도, 탄성계수 등이 중요한 기계적 특성요소로 작용하게 된다. 특히 압축을 받는 순환골재 콘크리트의 응력-변형률 관계 및 파괴진전 양상 규명은 순환골재 콘크리트를 사용한 구조물 설계 및 수치해석 등 이론적 연구에서도 매우 중요한 의미를 가진다. 따라서 본 연구에서는 순환골재 콘크리트의 파괴진전특성을 규명하기 위하여 압축하중을 받는 콘크리트의 미세균열 등 손상특성을 검출하기 위하여 AE 기법을 사용하였다. 압축거동특성 및 AE 신호특성을 분석한 결과, 순환굵은골재 콘크리트의 균열 및 파괴거동은 천연 및 순환잔골재를 사용한 콘크리트와 상이한 것으로 나타났다.