• Structural Monitoring and Maintenance
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• 제3권3호
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• pp.233-257
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• 2016

This paper provides an overview on development of long-span bridges monitoring in Japan, with emphasis on monitoring strategies, types of monitoring system, and effective utilization of monitoring data. Because of severe environment condition such as high seismic activity and strong wind, bridge monitoring systems in Japan historically put more emphasis on structural evaluation against extreme events. Monitoring data were used to verify design assumptions, update specifications, and facilitate the efficacy of vibration control system. These were among the first objectives of instrumentation of long-span bridges in a framework of monitoring system in Japan. Later, monitoring systems were also utilized to evaluate structural performance under various environment and loading conditions, and to detect the possible structural deterioration over the age of structures. Monitoring systems are also employed as the basis of investigation and decision making for structural repair and/or retrofit when required. More recent interest has been to further extend application of monitoring to facilitate operation and maintenance, through rationalization of risk and asset management by utilizing monitoring data. The paper describes strategies and several examples of monitoring system and lessons learned from structural monitoring of long-span bridges in Japan.

• 한국안전학회지
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• 제17권3호
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• pp.102-106
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• 2002

The Act on Safety Management of Social Assets was established on 1995 and revised on 1999 to relieve maintenance cost of managing offices. The provision for load bearing test before opening was deleted and the number of load bearing test after opening was reduced in the Revised Act on 1999. The effect of revision is the main concern in this study. 176 technical reports on load bearing test of long span bridges are analyzed. The results show that various structural defects are inherent in recent bridges constructed since 1995. So the preservation of provisions deleted in original act is needed up to now.

• 한국안전학회지
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• 제21권3호
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• pp.114-121
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• 2006

As one of the serviceability limit states, the prediction and control of crack width in reinforced concrete bridges or PSC bridges are very important for the design of durable structures. However, the current bridge design specifications do not provide quantitative information for the prediction and control of crack width affected by the initiation and propagation of corrosion. Considering life span of concrete bridges, an improved control equation about the crack width affected by time-dependent general corrosion is proposed. The developed corrosion and crack width control models can be used for the design and the maintenance of prestressed and non-prestressed reinforcements by varying time, w/c, cover depth, and geometries of the sections. It can also help the rational criteria for the quantitative management and the prediction of remaining life of concrete structures.

• 한국농공학회논문집
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• 제53권3호
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• pp.43-51
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• 2011

Fiber Reinforced Polymer (FRP)s have various advantages for construction material in that they are noncorrosive and very strong. FRPs are economical and effective for management and maintenance when applied to footbridge, beam or deck of the bridge, girder, and marine structure. For safety, optimal design for standard modulation of the cross section is necessary. Conditions of optimum are possibilities of domestic production, modular assembly, and structure materials cast in compressed area.

• Computers and Concrete
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• 제12권1호
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• pp.91-107
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• 2013

Corrosion of RC bridge decks eventually leads to delamination, severe cracking and spalling of the concrete cover. This is a prevalent deterioration mechanism and demands for the most costly repair interventions during the service life of bridges worldwide. On the other hand, decisions for repairs are usually made whenever the extent of a limit crack width, reported in routine visual inspections, exceeds an acceptable threshold level. In this paper, while random fields are applied to account for spatial variation of governing parameters of the corrosion process, an analytical model is used to simulate the corrosion induced crack width. However when dealing with random fields, the Monte Carlo simulation is apparently an inefficient and time consuming method, hence the utility of neural networks as a surrogate in simulation is investigated and found very promising. The proposed method can be regarded as an invaluable tool in decision making concerning maintenance of bridges.

• 한국방재안전학회논문집
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• 제16권2호
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• pp.33-47
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• 2023

｢소규모 공공시설 안전관리 등에 관한 법률(2015 제정)｣에 따라 각 지자체에서는 소규모 공공시설을 선정하고, 매년 안전점검을 실시하고 있다. 소규모 공공시설 중 소교량은 세천과 더불어 재해위험성이 높고 마을주민의 공공이용성이 높은 시설이나, 그 개소수가 매우 많아 지자체의 한정된 인원으로 관리하기 어려운 시설에 해당한다. 따라서 지자체의 관리능력을 고려하여 합리적인 선정방법이 필요하며, 객관적 위험도 평가를 통한 위험시설의 선정 및 정비계획의 수립이 요구된다. 이에 본 연구에서는 지자체의 관리능력을 고려하여 소교량의 구조적, 기능적 분류를 통한 선정방법을 제시하고, 위험도 평가 10개 항목의 정량적 평가지표를 제시함으로써 객관적인 위험도 평가가 이루어질 수 있는 방안을 제시하였다.

• 한국강구조학회 논문집
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• 제20권5호
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• pp.609-616
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• 2008

국가경제력 향상과 함께 바다와 섬에 대한 관심이 높아지면서 육지와 섬, 섬과 섬을 연결하는 해상 장대교량이 많이 건설되고 있다. 장대교량은 현수교, 사장교, 아치교, 트러스교 등으로 대변할 수 있는데 그 중에서도 사장교는 주탑(Pylon)과 케이블(Cable), 보강형(Stiffened Girder)이 조화를 이루면서 외관이 아름다워 매력적인 교량형식의 하나로 최근 많이 계획되고 있다. 장력측정은 케이블에 설치한 가속도 센서로부터 케이블의 고유진동수 변화를 이용하는 간접법인 진동법을 적용하였다. 본 연구에서는 댐퍼 설치 케이블의 유효길이 산정식을 제안하였는데 이는 케이블의 유효길이 변화를 실측치와 해석값을 비교하여 분석한 것으로 기존의 유효길이 산정방법인 댐퍼와 정착단간의 순간격에 의한 것은 최종 케이블 장력값 추정에 있어서 신뢰도가 떨어짐을 확인할 수 있었다. 그러므로 향후 유지관리 단계에서는 본 연구에서 제안한 케이블의 유효길이 산정식을 활용하여 장력을 정확하게 파악하는 것이 케이블의 재긴장 및 교체시기 결정 등에도 합리적인 의사결정 자료로 사용될 수 있을 것이다.

• Smart Structures and Systems
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• 제24권5호
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.30-40
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• 2007

The demand for light-rail construction projects has recently been increasing, and they are mostly supervised by private construction companies. Therefore, a private construction company that aim to raise gains from the operation of the facilities during the contract period greater than what they invested should b able to accurately calculate the costs from the aspect of Life Cycle Cost (LCC). In particular, a light-rail transit bridge that has a heavier portion from the aspect of the cost of light-rail transit construction requires a more accurate calculation method than the conventional LCC calculation method. For this, an LCC analysis model was developed and a cost breakdown structure was suggested based on literature review. The construction costs by shape of the upper part of a light-rail transit were calculated based on the cost breakdown system presented in this paper, and the cost generation cycle and cost unit price were collected and analyzed based on records on maintenance costs, rehabilitation and replacement. In addition, after forming some hypotheses in order to perform the LCC analysis, economic evaluation was conducted from the aspect of the LCC by using performance data by item.

• 한국전산구조공학회논문집
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• 제34권5호
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• pp.301-308
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• 2021

사회기반 시설물의 노후화에 대응해 이상 징후를 파악하고 유지보수를 위한 최적의 의사결정을 내리기 위해선 디지털 기반 SOC 시설물 유지관리 시스템의 개발이 필수적인데, 디지털 SOC 시스템은 장기간 구조물 계측을 위한 IoT 센서 시스템과 축적 데이터 처리를 위한 클라우드 컴퓨팅 기술을 요구한다. 본 연구에서는 구조물의 다물리량을 장기간 측정할 수 있는 IoT센서와 클라우드 컴퓨팅을 위한 서버 시스템을 개발하였다. 개발 IoT센서는 총 3축 가속도 및 3채널의 변형률 측정이 가능하고 24비트의 높은 해상도로 정밀한 데이터 수집을 수행한다. 또한 저전력 LTE-CAT M1 통신을 통해 데이터를 실시간으로 서버에 전송하여 별도의 중계기가 필요 없는 장점이 있다. 개발된 클라우드 서버는 센서로부터 다물리량 데이터를 수신하고 가속도, 변형률 기반 변위 융합 알고리즘을 내장하여 센서에서의 연산 없이 고성능 연산을 수행한다. 제안 방법의 검증은 2개소의 실제 교량에서 변위계와의 계측 결과 비교, 장기간 운영 테스트를 통해 이뤄졌다.