• Corrosion Science and Technology
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• 제10권3호
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• pp.87-94
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• 2011

The typical corrosion prevention method inside the steel upper box girder in a suspension bridge involves the use of paints. However, in an effort to reduce environmental impact and cost, the suspension portion of the Yeongjong Bridge, Korea utilizes dehumidification systems to control humidity and prevent corrosion inside its box girder. Maintaining a uniform humidity distribution at the proper level inside the box girder is critical to the successful corrosion control. In this study, the humidity and the resultant atmospheric corrosivity inside the box girder of the Yeongjong Bridge was monitored. The corrosion rate of the steel inside the box girder was obtained using thin-film electrical resistance (TFER) corrosion sensors. Time-of-wetness (TOW) measurements and the deposition rates of atmospheric pollutants such as $Cl^{-}$ and $SO_{x}$ were also obtained. Classification of the atmospheric corrosivity inside the box girder was evaluated according to ISO 9223. As a result, no corrosion was found in the upper box girder, indicating that the dehumidification system used in the Yeongjong Bridge is an effective corrosion control method.

• Smart Structures and Systems
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• 제13권5호
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• pp.821-848
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• 2014

This paper presents a novel method to carry out monitoring of transport infrastructure such as pavements and bridges through the analysis of vehicle accelerations. An algorithm is developed for the identification of dynamic vehicle-bridge interaction forces using the vehicle response. Moving force identification theory is applied to a vehicle model in order to identify these dynamic forces between the vehicle and the road and/or bridge. A coupled half-car vehicle-bridge interaction model is used in theoretical simulations to test the effectiveness of the approach in identifying the forces. The potential of the method to identify the global bending stiffness of the bridge and to predict the pavement roughness is presented. The method is tested for a range of bridge spans using theoretical simulations and the influences of road roughness and signal noise on the accuracy of the results are investigated.

• 한국구조물진단유지관리공학회 논문집
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• 제12권3호
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• pp.175-182
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• 2008

본 논문에서는 최근 유지관리분야에서 중요한 분야로 대두되고 있는 대형구조물의 모니터링에 대한 연구 및 고찰을 바탕으로 대형 구조물의 계측데이터를 이용한 확률적 안전도분석에 대한 평가 모형을 제안하였다. 사장교의 계측 데이터를 이용하여 활하중에 대한 모델을 산정하고, 요소신뢰성 및 체계신뢰성 기법을 통하여 사장교의 실질적인 확률적 안전도를 평가하였다. 사장교의 체계신뢰성은 케이블, 보강형, 주탑의 조합파괴를 포함하는 주파괴경로를 찾아낼 수 있는 부분 ETA(Event Tree Analysis) 모델을 이용하여 산정하였으며 이는 기존 안전도 분석방법과 비교하였을 때 구조물의 여용성을 충분히 반영하는 데 상당히 합리적이며 실제적인 결과를 보여주는 실용적인 방법으로 판단된다.

• Smart Structures and Systems
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• 제2권3호
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• pp.275-293
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• 2006

For health monitoring purpose usually the structure is instrumented with a large scale and multichannel measurement system. In case of highway bridges, operating vehicle could be utilized to reduce the number of measuring devices. First this paper presents a static damage detection algorithm of using operating vehicle load. The technique has been validated by finite element simulation and simple laboratory test. Next the paper presents an approach of using this technique to field application. Here operating vehicle load data has been used by instrumenting the bridge at single location. This approach gives an upper hand to other sophisticated global damage detection methods since it has the potential of reducing the measuring points and devices. It also avoids the application of artificial loading and interruption of any traffic flow.

• Smart Structures and Systems
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• 제15권1호
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• pp.99-117
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• 2015

The Stonecutters Bridge (SCB) in Hong Kong is the third-longest cable-stayed bridge in the world with a main span stretching 1,018 m between two 298 m high single-leg tapering composite towers. A Wind and Structural Health Monitoring System (WASHMS) is being implemented on SCB by the Highways Department of The Hong Kong SAR Government, and the SCB-WASHMS is composed of more than 1,300 sensors in 15 types. In order to establish a linkage between structural health monitoring and maintenance management, a Structural Health Rating System (SHRS) with relevant rating tools and indices is devised. On the basis of a 3D space frame finite element model (FEM) of SCB and model updating, this paper presents the development of an SHR-oriented 3D multi-scale FEM for the purpose of load-resistance analysis and damage evaluation in structural element level, including modeling, refinement and validation of the multi-scale FEM. The refined 3D structural segments at deck and towers are established in critical segment positions corresponding to maximum cable forces. The components in the critical segment region are modeled as a full 3D FEM and fitted into the 3D space frame FEM. The boundary conditions between beam and shell elements are performed conforming to equivalent stiffness, effective mass and compatibility of deformation. The 3D multi-scale FEM is verified by the in-situ measured dynamic characteristics and static response. A good agreement between the FEM and measurement results indicates that the 3D multi-scale FEM is precise and efficient for WASHMS and SHRS of SCB. In addition, stress distribution and concentration of the critical segments in the 3D multi-scale FEM under temperature loads, static wind loads and equivalent seismic loads are investigated. Stress concentration elements under equivalent seismic loads exist in the anchor zone in steel/concrete beam and the anchor plate edge in steel anchor box of the towers.

• 한국지진공학회논문집
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• 제10권6호
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• pp.1-8
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• 2006

본 논문에서는 교량 모니터링 시스템의 일부분으로 서해대교에 설치된 교량 하중측정 시스템(BWIM system)으로부터 획득한 신호를 분석하여 통행차량의 정보를 추출하기 위한 알고리즘의 개발과정과 이를 위해 수행한 현장 차량주행시험에 대하여 기술하였다. 개발된 BWIM 시스템은 포장층에 매설하는 축감지기가 없는 형태로, 바닥판과 가로보에 설치된 변형률계로부터 측정한 시간이력 변형률신호만을 이용하였다. 이들 측정신호로부터 추출하고자 하는 차량의 정보는 통과차로, 통과속도, 차 축수 및 총 중량이며, 이들 정보의 추출을 위해 패턴인식기법의 일종인 인공신경망(Aritificial Neural Network, ANN) 기법을 사용하였다. 현장 차량주행시험을 통하여 기지차량 및 미지차량 통행시의 BWIM 응답 데이터를 측정하였으며, 이들 실측데이터를 사용하여 인공신경망의 학습 및 성능검증을 수행하였다. 개발된 기법을 사용하여 추출되는 차량의 정보들은 현재의 교량상태 및 피로수명 평가시 활용될 수 있을 것이며, 향후 설계트럭 하중모델의 개정시 기초자료로도 활용될 수 있을 것으로 기대된다.

• Smart Structures and Systems
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• 제15권3호
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• pp.683-698
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• 2015

Railroad bridges form an integral part of railway infrastructure throughout the world. To accommodate increased axel loads, train speeds, and greater volumes of freight traffic, in the presence of changing structural conditions, the load carrying capacity and serviceability of existing bridges must be assessed. One way is through system identification of in-service railroad bridges. To dates, numerous researchers have reported system identification studies with a large portion of their applications being highway bridges. Moreover, most of those models are calibrated at global level, while only a few studies applications have used globally and locally calibrated model. To reach the global and local calibration, both ambient vibration tests and controlled tests need to be performed. Thus, an approach for system identification of a railroad bridge that can be used to assess the bridge in global and local sense is needed. This study presents system identification of a railroad bridge using free vibration data. Wireless smart sensors are employed and provided a portable way to collect data that is then used to determine bridge frequencies and mode shapes. Subsequently, a calibrated finite element model of the bridge provides global and local information of the bridge. The ability of the model to simulate local responses is validated by comparing predicted and measured strain in one of the diagonal members of the truss. This research demonstrates the potential of using measured field data to perform model calibration in a simple and practical manner that will lead to better understanding the state of railroad bridges.

• Smart Structures and Systems
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• 제9권2호
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• pp.145-164
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• 2012

In this paper, solar-powered, multi-scale, vibration-impedance sensor node on Imote2 platform is presented for hybrid structural health monitoring (SHM) in cable-stayed bridge. In order to achieve the objective, the following approaches are proposed. Firstly, vibration- and impedance-based hybrid SHM methods are briefly described. Secondly, the multi-scale vibration and impedance sensor node on Imote2-platform is presented on the design of hardware components and embedded software for vibration- and impedance-based SHM. In this approach, a solar-powered energy harvesting is implemented for autonomous operation of the smart sensor nodes. Finally, the feasibility and practicality of the smart sensor-based SHM system is evaluated on a full-scale cable-stayed bridge, Hwamyung Bridge in Korea. Successful level of wireless communication and solar-power supply for smart sensor nodes are verified. Also, vibration and impedance responses measured from the target bridge which experiences various weather conditions are examined for the robust long-term monitoring capability of the smart sensor system.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2008년도 정기 학술대회
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• pp.127-132
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• 2008

As economic rapid growth, large structures are damaged by defects from design and construction process of the formation and environments. Therefore, safety diagnosis and monitoring skills are bringing importance into relief and legislate for safety diagnosis of large structures. However, the existing monitoring systems are difficult by using wire cable because of cost, error of date, location, revise. In this paper, wireless sensor network which are accelerator, temperature sensor system using ubiquitous had been field test on Sea-Hea Grand bridge. We compare accelerator, temperature sensor system with wire and wireless sensor network.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.180-185
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• 2003

도로를 통과하는 차량 통행량의 증가는 장기적으로 교량에 구조적인 손상을 유발시키기 때문에 교량의 유지관리 측면에서 심각한 문제로 대두되고 있으며 준공 단계부터 구조물의 유지관리에 대하여 관심을 기울이지 않으면 공용기간 중 만족할 만한 기능의 유지 및 확보는 불가능하다. 또한, 공황 중에 균열이나 변형 등과 같은 열화손상을 조기에 발견하여 기능상의 장애나 사고를 미연에 방지하기 위해서는 정기적인 점검을 통하여 유지관리를 실시해야 하나 이에 관한 관심도가 상대적으로 낮아 구조물 유지관리에 대한 새로운 인식의 전환과 이와 관련된 기술개발이 절실히 요구되고 있다. 본 연구는 현재 굴절차 또는 점검차에 점검 인력이 직접 탑승하여 실시하는 육안조사를 대체하기 위하여 작은 카메라가 부착된 로봇(Machine Vision System)이 장착된 Linear Motion Control of System을 교량 하부에 설치하고 작업자는 교량 상부에서 외관조사를 수행함으로써 점검자에 따라 주관적으로 점검결과가 도출되는 문제를 근본적으로 해결하고 점검시 안전성을 대폭 개선하며 화상에 검측된 열화 손상 자료를 이미지 프로세싱 기법을 이용하여 객관적이고 정량적인 자료로 저장 및 제공함으로써 교량 유기관리시스템을 위한 데이터베이스를 구축하는데 기여할 수 있는 교량 하부 외관조사 자동화 시스템을 개발하는 데에 그 목적을 두고 있으며 본 시스템을 통하여 교량의 보수 보강 시기를 보다 객관적으로 산정할 수 있어서 현재 매년 기하급수적으로 늘어나는 교량의 보수 보강 비용을 상당히 절감할 수 있을 것으로 기대된다.저장기간을 계산하면, 아세설팜칼륨의 혼용 비율이 높아질수록 저장기간이 길어져서, $50\%$로 혼용하였을 때 가장 긴 저장기간이 산정되어 $20^{\circ}C$에서는 178일, $30^{\circ}C$에서는 88일이 예측되었다. 아스파탐과 아세설팜칼륨의 혼용비율을 5:5, 7:3, 9:1로 달리하여 구연산 완충액 상에 녹인 후, 20, 40, $60^{\circ}C$에서 저장하였다 크기 추정법을 이용하여 단맛을 측정한 결과 20일간의 저장 기간 동안 $20^{\circ}C$와 $40^{\circ}C$에서는 단맛이 유지되는 것으로 나타났다.산도 $0.4\~0.8\%^{(10)}$에서도 식품 유해가능성을 가진 균이 상당수 검출되므로 원료의 수송, 김치의 제조 및 유통과정에서 병원균에 대한 오염방지에 유의하여야 할 것이다. 확인할 수 있었다. 이상의 결과에 의하면 고농도의 유기물이 함유된 음식물쓰레기는 Hybrid Anaerobic Reactor (HAR)를 이용하여 HRT 30일 정도에서 충분히 직접 혐기성처리가 가능하며, 이때 발생된 $CH_{4}$를 회수하여 이용하면 대체에너지원으로 활용 가치가 높은 것으로 판단된다./207), $99.2\%$(238/240), $98.5\%$(133/135) 및 $100\%$ (313)였다. 각각 두 개의 요골동맥과 우내흉동맥에서 부분협착이나