• 제목/요약/키워드: Civil Infrastructures

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구조물 건전성 모니터링을 위한 증강현실 기반 센서 위치인식 및 데이터시각화 기술 (Augmented Reality (AR)-Based Sensor Location Recognition and Data Visualization Technique for Structural Health Monitoring)

  • 박웅기;이창길;박승희;유영준;박기태
    • 한국구조물진단유지관리공학회 논문집
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    • 제17권2호
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    • pp.1-9
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    • 2013
  • 최근 초고층 및 초장대와 같은 대형 구조물들이 시공되고 있으며, 이에 대한 구조물 건전성 모니터링 기술들이 연구되고 있다. 하지만 기존의 기술들은 계측 센서의 관리와 센서로부터 계측된 데이터에 효율적으로 access하지 못하고 있다. 본 논문에서는 구조물 건전성 모니터링을 위한 증강현실 기반 센서 위치인식 및 데이터 시각화 기술을 소개한다. 모바일 디바이스에 내장된 GPS를 통하여 센서와 사용자 간의 거리를 파악하게 된다. 뿐만 아니라, 센서로부터 계측된 데이터는 위치정보시스템 서버에 저장되며, RSS방식을 통해 전송되어 사용자가 모바일 디바이스를 통해 쉽게 계측 데이터를 가시화 할 수 있게 된다. 이 기술을 이용하여 사용자는 센서의 위치인식을 통해 계측센서를 관리하고, 계측 데이터를 시각화하여 시간과 공간에 제약 없이 구조물의 건전성을 모니터링 할 수 있게 된다.

지하도로시설물의 LCC예측 모델 및 시스템 개발 (Development of Life Cycle Cost Model & System of the Road Tunnel)

  • 조효남;선종완;김충완;민대홍
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2004년도 가을 학술발표회 논문집
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    • pp.157-162
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    • 2004
  • Recently, Life Cycle Cost (LCC) for civil infrastructures, such as pavements, bridges, and dams, has been emphasized. However there are few cost models for road tunnel especially for maintenance phase. The road network is composed of highways, bridges, and road tunnels. Thus it is as important as for road tunnels to keep safe for traffic. The maintenance strategies for road tunnels can be achieved based on the minimization of LCC in maintenance phase. For this purpose, in this paper, cost model and cost classification for road tunnel in maintenance phase are suggested.

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기후변화에 따른 미래 극한호우사상이 소양강댐 유역의 유량 및 유사량에 미치는 영향 (Potential Impacts of Future Extreme Storm Events on Streamflow and Sediment in Soyang-dam Watershed)

  • 한정호;이동준;강부식;정세웅;장원석;임경재;김종건
    • 한국물환경학회지
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    • 제33권2호
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    • pp.160-169
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    • 2017
  • The objective of this study are to analyze changes in future rainfall patterns in the Soyang-dam watershed according to the RCP 4.5 scenario of climate change. Second objective is to project peak flow and hourly sediment simulated for the future extreme rainfall events using the SWAT model. For these, accuracy of SWAT hourly simulation for the large scale watershed was evaluated in advance. The results of model calibration showed that simulated peak flow matched observation well with acceptable average relative error. The results of future rainfall pattern changes analysis indicated that extreme storm events will become more severe and frequent as climate change progresses. Especially, possibility of occurrence of large scale extreme storm events will be greater on the periods of 2030-2040 and 2050-2060. In addition, as shown in the SWAT hourly simulation for the future extreme storm events, more severe flood and turbid water can happen in the future compared with the most devastating storm event which occurred by the typhoon Ewiniar in 2006 year. Thus, countermeasures against future extreme storm event and turbid water are needed to cope with climate change.

Steel Sleeve Packaged FBG 변형률센서를 이용한 구조물 모니터링에서의 온도보정 기술 (Temperature Compensation Technique for Steel Sleeve Packaged FBG Strain Sensor in Structural Monitoring)

  • 장일영;운영위;유정수;박진영
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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    • pp.805-808
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    • 2008
  • 피복이 없는 FBG센서는 내구성이 약하기 때문에, 실제 토목구조물에서는 적용이 어렵다. 따라서 packaged FBG센서는 피복이 없는 FBG센서의 단점을 보안하고, 실제 구조물에 적용이 가능하도록 발전된 형태이다. 이런 packaged FBG센서를 이용하여 변형률과 온도를 동시에 측정할 때, 온도보정은 없어서는 안 될, 필수적 기술이다. 이 논문에서는 steel sleeve packaged FBG센서의 온도보정 기술을 도출하고, 콘크리트 보부재를 이용한 실험을 통해 온도보정 기술의 현장적용 가능성을 제시하였다. 따라서 이 논문에서 사용된 온도보정 기술은 실제 여러 토목구조물의 모니터링에 확대 사용할 수 있다.

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물환경분야 남북한 협력방안 (Cooperation plan between South-North Korea in the water environment sector)

  • 김건하
    • 상하수도학회지
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    • 제34권1호
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    • pp.23-33
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    • 2020
  • With growing expectations for economic cooperation between the two Koreas, there is much interest in participating in the construction of infrastructure in North Korea. In particular, water and sewage infrastructure is the four major social infrastructures in addition to housing, transportation, electricity and telecommunications. North Korea is known to have severe water pollution and ecosystem destruction in major rivers, water pollution and soil pollution in mining areas are serious, and water and sewage infrastructures in cities other than Pyongyang are known to be weak. Preemptive investment in water supply and drainage in North Korea is the foundation for securing the quality of life of the North Korean and is the foundation of public health and industry. It is a leading investment to reduce the cost of unification and is a new growth engine for the water reloded industry. In this study, we proposed a plan to exchange and cooperate in water environment for building water infrastructure of North Korea by examining the data related to water quality, water resources, water disaster, related legal system and human resources exchange situations in North Korea.

Beam models for continuous pipelines passing through liquefiable regions

  • Adil Yigit
    • Geomechanics and Engineering
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    • 제37권2호
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    • pp.189-195
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    • 2024
  • Buried pipelines can be classified as continuous and segmented pipelines. These infrastructures can be damaged either by ground movement or by seismic wave propagation during an earthquake. Permanent ground deformations (PGD) include surface faulting, liquefaction-induced lateral spreading and landslide. Liquefaction is a major problem for both superstructures and infrastructures. Buyukcekmece lake zone, which is the studied region in this paper, is a liquefaction prone area located near the North Anatolian Fault Line. It is an active fault line in Turkey and a major earthquake with a magnitude of around 7.5 is expected in this investigated region in Istanbul. It is planned to be constructed a new 12" steel natural gas pipeline from one side of the lake to the other side. In this study, this case has been examined in terms of two different support conditions. Firstly, it has been defined as a beam in liquefied soil and has built-in supports at both ends. In the other approach, this case has been modeled as a beam in liquefied soil and has vertical elastic pinned supports at both ends. These models have been examined and some solution proposals have been produced according to the obtained results. In this study, based on this sample, it is aimed to determine the behaviors of buried continuous pipelines subject to liquefaction effects in terms of buoyancy.

표준도 기반 BIM 라이브러리 검색지원을 위한 웹기반 공유시스템 개발 (Development of Web-based Sharing System for Inquiring Civil BIM Libraries Based on Standardized 2D Drawings)

  • 문현석;김창윤;조근하;주기범
    • 한국BIM학회 논문집
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    • 제6권1호
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    • pp.25-32
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    • 2016
  • In BIM environments for infrastructures, civil structures such as road, bridge and tunnel etc., created into 3D objects, integrated with their properties, securing BIM design productivity is very critical during 3D modeling. To solve this issue, configuring BIM libraries so that the users can utilize prefabricating in advance 3D objects that have been applying repeatedly during BIM design is essential so much. Current BIM libraries have made focused on Ready-Made for architectural facilities. However, establishing environment for delivering BIM library for civil facilities is very sparse. Accordingly, this study developed a web-based sharing system for delivering BIM library contents based on standardized drawing for civil area. To do this, we have analyzed core features and operation system of BIM library sharing system in domestic and overseas. Besides, functional requirements that are necessary for developing BIM library sharing system was derived, and through operation scenario configuration, the web-based system was developed according to the detailed mechanism. It is expected that this system can enhance BIM design productivity during library based modeling, and can be utilized as construction supporting tools that can help construction managers to make a design change.

Probabilistic damage detection of structures with uncertainties under unknown excitations based on Parametric Kalman filter with unknown Input

  • Liu, Lijun;Su, Han;Lei, Ying
    • Structural Engineering and Mechanics
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    • 제63권6호
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    • pp.779-788
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    • 2017
  • System identification and damage detection for structural health monitoring have received considerable attention. Various time domain analysis methodologies based on measured vibration data of structures have been proposed. Among them, recursive least-squares estimation of structural parameters which is also known as parametric Kalman filter (PKF) approach has been studied. However, the conventional PKF requires that all the external excitations (inputs) be available. On the other hand, structural uncertainties are inevitable for civil infrastructures, it is necessary to develop approaches for probabilistic damage detection of structures. In this paper, a parametric Kalman filter with unknown inputs (PKF-UI) is proposed for the simultaneous identification of structural parameters and the unmeasured external inputs. Analytical recursive formulations of the proposed PKF-UI are derived based on the conventional PKF. Two scenarios of linear observation equations and nonlinear observation equations are discussed, respectively. Such a straightforward derivation of PKF-UI is not available in the literature. Then, the proposed PKF-UI is utilized for probabilistic damage detection of structures by considering the uncertainties of structural parameters. Structural damage index and the damage probability are derived from the statistical values of the identified structural parameters of intact and damaged structure. Some numerical examples are used to validate the proposed method.

Deep learning-based sensor fault detection using S-Long Short Term Memory Networks

  • Li, Lili;Liu, Gang;Zhang, Liangliang;Li, Qing
    • Structural Monitoring and Maintenance
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    • 제5권1호
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    • pp.51-65
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    • 2018
  • A number of sensing techniques have been implemented for detecting defects in civil infrastructures instead of onsite human inspections in structural health monitoring. However, the issue of faults in sensors has not received much attention. This issue may lead to incorrect interpretation of data and false alarms. To overcome these challenges, this article presents a deep learning-based method with a new architecture of Stateful Long Short Term Memory Neural Networks (S-LSTM NN) for detecting sensor fault without going into details of the fault features. As LSTMs are capable of learning data features automatically, and the proposed method works without an accurate mathematical model. The detection of four types of sensor faults are studied in this paper. Non-stationary acceleration responses of a three-span continuous bridge when under operational conditions are studied. A deep network model is applied to the measured bridge data with estimation to detect the sensor fault. Another set of sensor output data is used to supervise the network parameters and backpropagation algorithm to fine tune the parameters to establish a deep self-coding network model. The response residuals between the true value and the predicted value of the deep S-LSTM network was statistically analyzed to determine the fault threshold of sensor. Experimental study with a cable-stayed bridge further indicated that the proposed method is robust in the detection of the sensor fault.

Immediate and long-term effects of lime and wheat straw on consistency characteristics of clayey soil

  • Muhammad, Gul;Marri, Amanullah
    • Geomechanics and Engineering
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    • 제16권3호
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    • pp.217-231
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    • 2018
  • Clayey soils with swelling and shrinkage characteristics have been major causes for many problems in roads, buildings and other civil engineering infrastructure in various areas of Pakistan, particularly where there are several patches of such soils on either side of Indus River. As the consistency characteristics are directly related with the variation of moisture content; therefore, this study was explicitly focused to investigate the effect of lime and wheat straw on the consistency characteristics of clayey soils with relatively high swelling and shrinkage characteristics. The consistency test results indicate that by the increase in lime content there is a decrease in the plasticity index of soil; for instance, 10% lime content resulted to 59% decrease in the plasticity index value. On the other hand; the addition of wheat straw resulted in a significant increase in the plasticity index; for instance, 10% wheat straw content resulted to a 120% increase in the plasticity index. This study has further shown that the shrinkage and swelling of clayey soils which resulting to several problems in the civil engineering infrastructures may adequately be managed through mixing an appropriate amount of lime and wheat straw as soil stabilizing agent for both immediate and long-term effects.