• Journal of Radiation Protection and Research
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• v.40 no.4
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• pp.211-215
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• 2015

In case of radiation emergencies, radioactive materials released into environments can cause internal exposure of members of the public. Even though whole body counters are widely used for direct measurement of internally deposited radionuclides, those are not likely to be used at the field to rapidly screen internal exposure. In this study, we estimated the counting efficiencies of portable NaI detector for different size BOMAB phantoms using Monte Carlo transport code to apply handheld gamma spectrometers for rapid screening of internal exposure following radiological accidents. As a result of comparison for two counting geometries, counting efficiencies for sitting model were about 1.1 times higher than those for standing model. We found, however, that differences of counting efficiencies according to different size are higher than those according to counting geometry. Therefore, we concluded that when we assess internal exposure of small size people compared to the reference male, the body size should be considered to estimate more accurate radioactivity in the human body because counting efficiencies of 4-year old BOMAB phantom were about 2.4~3.1 times higher than those of reference male BOMAB phantom.

• Proceedings of the KIEE Conference
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• 2004.10a
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• pp.245-247
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• 2004

고속철도는 수많은 하이테크 기술의 결정체이며, 이 중에서도 추진장치는 차량의 성능을 결정하는 매우 중요한 요소이다. 이러한 전장품들에 대한 다양한 성능을 평가하고 진단하기 위해 상시계측시스템을 구축하여 활용하고 있다. 이러한 계측장비들은 여러 전장품에 대한 계측 및 분석을 통한 시험평가와 동시에 완성차 시험이나 본선시운전 시험시에 발생할 수 있는 고장원인을 찾아내고 해결하는데 많은 도움을 주고 있다. 본 논문에서는 강시계측 시스템을 통해 추진장치에 대한 고장진단을 실시한 내용에 대하여 기술하였다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.1
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• pp.35-42
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• 2021

This paper presents an on-line finite element model updating method for in-service structures using measured data. Conventional updating methods, which are based on numerical optimization, are not efficient for on-line updating because they generally require repeated eigenvalue analyses until convergence criteria are met. The proposed method enables fully automated on-line finite element model updating, almost simultaneously with vibration measurement, without any user intervention or off-line procedures. The automated covariance-driven stochastic subspace identification (Cov-SSI) method is utilized to identify modal frequencies and vectors, and the identified modal data is fed to the neural network of the inverse eigenvalue function to produce the updated finite element model parameters. Numerical examples for a wind excited 20-story building structure shows that the proposed method can update the series of finite element model parameters automatically. It is also shown that sudden changes in the structural parameters can be detected and traced successfully.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.04a
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• pp.547-548
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• 2009

• Journal of the Korean Society for Nondestructive Testing
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• v.22 no.3
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• pp.239-245
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• 2002

Many civil and infrastructures continue to be used despite aging and the associated potential for damage accumulation. Therefore, the ability to monitor the health of these systems is becoming increasingly important. The purpose of this paper is to propose a real-time health monitoring system of cable-stayed bridge, based-on non-destructive measurement. And also this paper focuses on the safety assessment for bridge from health monitoring system to accomplish this safety assesment. Using the proposed health monitoring system, it helps bridge maintenance and reduces the economic cost of a life-cycle costs. Also it give important data to develop the design and analysis method for cable-stayed bridges.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.4
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• pp.20-29
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• 2022

The operational modal analysis (OMA) technique, which extracts the modal parameters of a structural system using ambient vibrations, has been actively developed as a field of structural health monitoring of cable-supported bridges. In this paper, the short and long-term modal parameters of a cable-stayed bridge were evaluated using the acceleration data obtained from the two ambient vibration tests (AVTs) and three years of continuous measurements. A total of 27 vertical modes and 1 lateral mode in the range 0.1 ~ 2.5 Hz were extracted from the high-resolution AVTs which were conducted in the 6th and 19th years after its completion. Existing OMA methods such as Peak-Picking (PP), Eigensystem Realization Algorithm with Data Correlation (ERADC), Frequency Domain Decomposition (FDD) and Time Domain Decomposition (TDD) were applied for modal parameters extraction, and it was confirmed that there was no significant difference between the applied methods. From the correlation analysis between long-term natural frequencies and environmental factors, it was confirmed that temperature change is the dominant factor influencing natural frequency fluctuations. It was revealed that the decreased natural frequencies of the bridge were not due to changes in structural performance and integrity, but to the environmental effects caused by the temperature difference between the two AVTs. In addition, when the TDD technique is applied, the accuracy of extracted mode shapes is improved by adding a proposed algorithm that normalizes the sequence so that the autocorrelations at zero lag equal 1.

• Proceedings of the KIEE Conference
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• summer
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• pp.1349-1351
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• 2004

경부고속전철에서 사용되는 제동시스템의 성능 및 특성을 종합적이고 효율적으로 확인하기 위하여 차량 내에 상시 계측시스템을 구축하였으며, 차량의 제동과 관련된 측정과 평가는 경부고속전철이 상업 운행을 하는 차량이므로 구성품의 변경을 가져오지 않는 범위 내에서 수행하였다. 경부고속전철의 차량 내에 설치된 계측장비와 Lab VIEW로 개발된 계측프로그램을 이용하여 제동관련 데이터를 실시간으로 감시하고 측정하였다. 또한 차후에 분석프로그램을 통해 제동시스템의 성능 및 특성을 알아보기 위해 시운전 시험 중에 제동관련 데이터를 실시간으로 저장하였다. 본 논문은 경부고속전철의 전기제동에 대한 설계치와 실측치를 서로 비교하였으며, 이에 제동시스템의 성능을 정확하게 확인하고 검증할 수 있었다.

• Proceedings of the KIEE Conference
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• summer
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• pp.1442-1444
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• 2004

현재 한국형 고속전철은 시운전 시험 중에 있으며, 차량 내에 상시 계측시스템이 구성되어 있어서 차량의 전기장치 신호나 기계장치 신호를 획득하여 주행 및 제동에 관한 성능 및 특성을 분석하고 파악할 수 있다. 하지만 차량의 안전성, 승객의 승차감 확보와 궤도의 빠른 유지보수를 위해 궤도를 전문적으로 감시하고 검측하는 시스템은 구축되어 있지 않다. 그러므로 고속전철 차량에 설치되어 고속주행 중에 궤도를 종합적이고 효율적으로 측정하는 전문적인 계측시스템을 구성할 필요가 있다. 따라서 궤도틀림의 검측방법과 검측기구 및 그 원리를 이해하고 선진국의 궤도 검측기술을 파악하여 보았다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1096-1098
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• 2007

본 논문에서는 효율면에서 많은 장점을 가진 Off-line Type DVR을 개발하는데 있어서 중요한 문제인 순시적 전압강하 및 위상각 검출에 대한 개선된 계측 기법에 관한 연구를 수행하였다. 상시 가동되는 On-line Type과는 다르게 순시적 전압강하나 순간정전이 발생시에만 동작하는 Off-line Type DVR은 검출부의 정밀함이 전체 시스템의 신뢰도를 결정한다. 따라서, 본 논문에서는 순시적 전압강하 및 위상각 검출에 있어서 개선된 계측 기법을 제시하고, EDLC를 채용한 5[kVA] 용량의 DVR을 개발하여 그 실험 및 검증 결과를 제시한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.3
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• pp.134-141
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• 2011

There have been increased economic and societal demands to continuously monitor the integrity and long-term deterioration of civil infrastructures to ensure their safety and adequate performance throughout their life span. However, it is very difficult to continuously monitor the structural condition of the pipeline structures because those are placed underground and connected each other complexly, although pipeline structures are core underground infrastructures which transport primary sources. Moreover, damage can occur at several scales from micro-cracking to buckling or loose bolts in the pipeline structures. In this study, guided wave measurement can be achieved with a self-sensing circuit using a piezoelectric active sensor. In this self sensing system, a specific frequency-induced structural wavelet response is obtained from the self-sensed guided wave measurement. To classify the multiple types of structural damage, supervised learning-based statistical pattern recognition was implemented using the damage indices extracted from the guided wave features. Different types of structural damage artificially inflicted on a pipeline system were investigated to verify the effectiveness of the proposed SHM approach.