• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2010.04a
• /
• pp.696-699
• /
• 2010

원자력 발전소의 격납건물은 인위적 또는 자연적 재해로부터 방사능의 외부누출을 방지함으로써 공중을 보호하는 역할을 하기 때문에 지속적인 건전성 확인을 통해 안전을 확보하는 것이 필수적이다. 격납건물의 구조적 건전성 확인은 통상 주기적으로 콘크리트에 대한 비파괴강도, 균열 및 중성화, 프리스트레스 텐던의 유효 긴장력 등의 측정을 통해 수행되고 있으나, 이러한 검사는 국부적인 건전도 정보만을 제공할 뿐 격납건물과 같은 대형 구조물 전체의 건전성에 대한 신뢰성 있는 평가 결과를 얻는데 많은 시간과 경비가 소요된다는 단점이 있다. 이러한 단점은 최근 구조물 전체의 상태를 평가하는 방법으로 주목받고 있는 구조건전성모니터링(Structural Health Monitoring, SHM)기법을 이용하여 극복할 수 있다. 본 논문에서는 실제 운전 중인 격납건물을 대상으로 상시진동 측정을 수행하였으며, SHM 기법의 기초자료로 활용될 수 있는 동적특성, 즉 격납건물의 고유진동수와 모드형상을 제시하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2013.06a
• /
• pp.551-553
• /
• 2013

노후 해양 플랜트 해체사장의 확대와 더불어 HLVs에 의존하고 있는 기존 해체 공법을 대체할 수 있는 새로운 통합관리 시스템의 개발이 요구되고 있다. IT 기술, ROV 운용기술, 구조물 건전성 모니터링 시스템 구축기술, 고성능 재료 개발 기술 등 국내에 확보되어 있는 기술들을 융합하여 노후 해양플랜트 해체작업을 종합적으로 관리, 진행할 수 있는 통합관리 시스템의 개발방향을 제시하였다.

• Magazine of the Korea Institute for Structural Maintenance and Inspection
• /
• v.18 no.4
• /
• pp.83-88
• /
• 2014

구조물에 최적화된 센서 배열(Sensor Array)을 수행하는 것은 센서 네트워크 설계에서 중요한 요소이다. 그러나 센서의 설치와 관리는 구조물이 처해 있는 환경이나, 경제성 그리고 센서의 주파수대역의 제한과 같은 다양한 원인으로 인해 매우 어려울 수 있다. 이 논문에서는 일반적인 문제와 환경에서 현재 사용되고 있는 물리적 센서 대용으로 가상 시각 센서(VVS: Virtual Visual Sensor)를 제안하였다. 가상 시각 센서는 설치가 간편하고 경제적이며 관리가 편하다는 큰 장점을 가지고 있다. 이러한 가상 시각 센서의 기본적인 아이디어는 최첨단 컴퓨터 시각 알고리즘과 마커 추출 기법의 적용으로 이루어진다. 이 연구에서는 가상 시각 센서를 이용하여 모드 형태와 주파수를 추출하는데 용이하다는 점을 보여주며 이를 구조물 건전성 모니터링에 적용할 경우 효율적이라는 점을 입증하였다.

• Construction Engineering and Management
• /
• v.14 no.1
• /
• pp.24-29
• /
• 2013

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.9 no.6
• /
• pp.1500-1505
• /
• 2008

To evaluate the structural integrity of the nuclear seismic category IIA bellows seal 2" globe valve under the seismic service conditions the seismic analysis was performed in accordance with ASME, section III, ND-3500, 1989 edition. The finite element computer program, ANSYS, Version 10.0, is used to perform both a mode frequency analysis and an equivalent static seismic analysis of the valve assembly. The mode frequency analysis results show the fundamental natural frequency is greater than 33 Hz and does not exist in seismic range, thus justifying the use of the static analysis. The stresses resulted from various loadings and their combinations are within the allowable limits specified in the above mentioned ASME code. The results of the seismic evaluation fully satisfied the structural acceptance criteria of the ASME code. Accordingly the structural integrity on the globe valve was proved.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.7 no.6
• /
• pp.1034-1039
• /
• 2006

The purpose of this paper is to evaluate the structural integrity of the Class 1500 Bellows Seal 3 inch globe valve classified as seismic category IIA. The finite element analysis program, ANSYS, Version 10.0, is used to perform both a modal frequency analysis and an equivalent static stress analysis of the subject valve modeling. The modal frequency analysis results show the fundamental natural frequency is greater than 33 Hz. Therefore the equivalent static stress analysis is performed using the seismic acceleration values. The stresses resulted from various loadings and their combinations are evaluated based on the structural acceptance criteria of the ASME Code. The stresses in the glove valve due to the seismic loadings are within the allowable limits. It is concluded that the globe valve structure is maintaining the structural integrity fur the seismic loading conditions.

• Journal of the Korean Society for Railway
• /
• v.12 no.3
• /
• pp.412-419
• /
• 2009

How to efficiently and accurately detect the damages generated in a structure has become an important issue for structural health monitoring (SHM). Most existing SHM techniques require the baseline data which should be measured before a structure get damaged. Thus, this paper presents a new pitch-catch method-based SHM technique which will not require the baseline data any more. In the proposed SHM technique, the imaging method is also utilized to visualize damage locations. The proposed SHM technique is then validated through the damage detection texts for damaged aluminum plates.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.20 no.4
• /
• pp.1-8
• /
• 2016

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

• Journal of the KSME
• /
• v.55 no.10
• /
• pp.36-39
• /
• 2015

이 글에서는 초고온가스로 노심 흑연 구조물의 신뢰성 평가 관련 이해를 돕기 위해 원자력급 흑연의 일반적인 특성, 흑연 구조물의 파손 평가 모델 및 이론, ASME 응력 평가 모델에 대해 기술하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.19 no.2
• /
• pp.92-98
• /
• 2015

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring (SHM) technique is increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and influenced by various external loads. "Abnormal behavior point" is a moment when the structure starts vibrating abnormally and this can be detected by comparing between before and after abnormal behavior point. In other words, anomalous behavior is a sign of damage on structures and estimating the abnormal behavior point can be directly related to the safety of structure. Abnormal behavior causes damage on structures and this leads to enormous economic damage as well as damage for humans. This study proposes an estimating technique to find abnormal behavior point using Hilber-Huang Transform which is a time-frequency signal analysis technique and the proposed algorithm has been examined through laboratory tests with a bridge model using a shaking table.