• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.10a
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• pp.808-809
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• 2009

• Journal of the Korean Society of Hazard Mitigation
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• v.6 no.3 s.22
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• pp.17-28
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• 2006

Structural health monitoring is important to maintain the safety and serviceability of the structures. The displacement in the structure should be precisely and frequently monitored because it is a direct assessment index indicating its stiffness. However, no practical method has been developed to monitor such displacement precisely, particularly for high-rise buildings and long span bridges because they cannot be easily accessible. To overcome such difficult accessibility, we propose to use a LIDAR system that remotely samples the surface of an object using laser pulses and generates the coordinates of numerous points on the surface. In this study, using terrestrial LiDAR, we develop a novel displacement measuring model for structural health monitoring and perform an indoor experiment to prove its performance.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5A
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• pp.421-431
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• 2009

This paper is the study on the verification of structural health monitoring (SHM) algorithm based on the ultrasonic guided wave. An active inspection system using Lamb wave (LW) for SHM was considered. The basic study about the application of this algorithm was performed for detecting the circular notch defect in steel plate. LW testing technique, pitch-catch method, was used for interpretation of circular notch defect with depth of 50% of plate thickness and 7 mm width. Damage characterization takes place by comparing $S_0$ mode sensor signals collected before and after the damage event. By subtracting the signals of both conditions from each other, a scatter signal is produced which can be used for damage localization. The continuous Gabor wavelet transform is used to attain the time between the arrivals of the scatter and sensor signals. A new practical damage monitoring algorithm, based on damage monitoring polygon and pitch-catch method, has been proposed and verified with good accuracy. The possible damage location can be estimated by the average on calculated location points and the damage extent by the standard deviation.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.6
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• pp.375-381
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• 2019

Structural health monitoring to determine structural conditions at an early stage and to efficiently manage the energy requirements of buildings using systems that collects relevant data, is under active investigation. Structural monitoring requires cutting-edge technology in which construction, sensing, and ICT technologies are combined. However, the scope of application is limited because expensive sensors and specialized technical skills are often required. In this study, a Raspberry Pi module, one of the most widely used single board computers, a Lora module that is capable of long-distance communication at low power, and a high-performance accelerometer are used to construct a wireless edge computing system that can monitor building response over an extended time period. In addition, the Raspberry Pi module utilizes an edge computing algorithm, and only meaningful data is obtained from the vast amount of acceleration data acquired in real-time. The raw data acquired using Wi-Fi communication are compared to the Laura data to evaluate the accuracy of the data obtained using the system.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.30 no.3
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• pp.130-138
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• 2002

수압실험 동안 광섬유 브래그 격자(FBG) 센서를 이용하여 필라멘트 와인딩된 복합재료 탱크의 변형률을 모니터링하였다. 20개의 FBG 센서와 20개의 스트레인 게이지를 복합재료 탱크의 돔과 실린더 부분에 부착하였다. 광섬유 센서를 위한 고출력 광원으로는 파장 이동 광섬유 레이저(WSFL)을 이용하였다. 실험결과로부터, 많은 수의 센서를 필요로 하는 대형 구조물의 건전성 모니터링에 FBG 센서 시스템이 유용함을 확인할 수 있었다.

• Journal of Korean Association for Spatial Structures
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• v.15 no.1
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• pp.22-29
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• 2015

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.367-369
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• 2009

본 논문은 저전력 무선 임피던스 기반 구조물 건전성 감시 USN 시스템을 활용하여 electro-mechanical Impedance 센서의 일종인 PZT센서를 부착한 배관 구조물의 건전성을 진단하는 방법과 그 실험 결과에 대해 소개 한다. 기존에는 건설구조물에 가해지는 전기적인 입출력비에 해당하는 임피던스를 계측하기 위해서 비교적 고가의 대형 계측 장비가 필요로 했으며, 구조물에 설치된 센서를 계측장비에 연결하기 위한 유선의 케이블 작업 역시 추가로 필요했었다. 대형 배관 구조물의 경우에는 이러한 문제점 때문에 임피던스를 이용한 능동형 센서가 제대로 활용되지 못하고 있고 비정기적인 비파괴검사에만 국한되어 사용되어 왔다. USN기술은 저전력 소출력 무선통신을 통해 기존의 계측시스템과는 다른 상시모니터링의 장점을 가지고 있는 기술로서 최근 토목/건설 분야에서 적극적으로 활용이 되는 융합기술이다. 본 논문에서 구조물 건전성 감시 분야와 저전력 무선 계측 기술의 통합을 통해 얻어진 최적화된 배관 건전도 진단 센서 노드의 효율성을 정량적 실험 데이터를 통해 입증하고, 앞으로의 연구 방향에 대한 제안으로 끝을 맺는다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.18 no.2
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• pp.64-73
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• 2014

This study proposes a load identification for the safety monitoring of the steel structure based on measured strain data. Instead of parameterizing the stiffness of structure in the existing system identification researches, the loads on a structure and a matrix (the unit strain matrix) defined by the relationship between strain and load on structure are parameterized in this study. The error function is defined by the difference between measured strain and strain estimated by parameters. In order to minimize this error function, the genetic algorithm which is one of the optimization algorithm is applied and the parameters are found. The loads on the structure can be identified through the founded parameters and measured strain data. When the loads are changed, the unmeasured strains are estimated based on founded parameters and measured strains on changed state of structure. To verify the load identification algorithm in this paper, the static experimental test for 3 dimensional steel frame structure was implemented and the loads were exactly identified through the measured strain data. In case of loading changes, the unmeasured strains which are monitoring targets on the structure were estimated in acceptable error range (0.17~3.13%). It is expected that the identification method in this study is applied to the safety monitoring of steel structures more practically.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.10a
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• pp.816-816
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• 2009

In order to attenuate structural waves in railway track, damped mass-spring absorber system and spring supported system are considered that are attached continuously along the beam length. A mathematical model is presented for the propagation of structural waves on a finitely long, periodically supported classical beam. The model in this paper could represent a railway track where the beam represents the rail and an appropriately chosen support type represents the pad/sleeper/ballast system of a railway track. And in this study, it is presented that the measurement method of health monitoring of railway track.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.620-623
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• 2004

도시하천인 청계천 유역의 물순환 해석을 위한 기초자료로 강우량, 유출량, 상하수도랑, 지하수이용량, 지하수위 변화에 의한 유역 저류량 등의 관측자료를 이용하여 연간 물수지 분석을 수행하였다. 청계천 유역의 물순환 구조는 자연계 유출과 인공계 배수의 구조를 지니고 있으며, 이들의 수문성분을 규명하기 위해서는 각각의 수문성분들의 관측 및 해석이 필요하며, 각 수문성분들의 물수지 분석을 통하여 정량적인 합의 결과를 가시적으로 확보함이 매우 중요하다. 신뢰도와 정확성에 근거한 관측자료를 이용한 물수지 분석은 수문성분들의 총체적 표현이라 할 수 있는 모형(model)의 중요 입력자료이며, 모형의 모의 분석결과를 검증할 수 있는 중요한 기준이 된다. 청계천 유역에 기 설치된 수문모니터링 자료로 물수지 분석을 수행하는 데는 많은 제약과 한계성이 따르므로, 지속적인 수문관측 및 모니터링이 수행된다면 복원 이후 장래의 건전한 물순환 대책 수립에 기여 할 것이다.