• 한국터널지하공간학회 논문집
• /
• 제20권3호
• /
• pp.561-573
• /
• 2018

도로 터널 내의 환기설계를 위해서는 먼저 각 차종별 교통량 구성 비율을 알아야 한다. 일반적인 도로터널의 경우 입구와 출구의 수가 동일하고 일방향이기 때문에 유입된 차종별 구성 비율이 출구에서 나올 때까지 달라지지 않는다. 반면에 네트워크 도로터널의 경우 터널 내의 연결이 복잡한 네트워크로 되어 있기 때문에 차종별 구성 비율이 달라진다. 이에 본 연구에서는 근접행렬을 이용하여 네트워크 도로터널에서 차종별 일교통량 구성 비율을 쉽게 계산할 수 있는 방법을 제시하였다.

• 설비공학논문집
• /
• 제16권9호
• /
• pp.838-844
• /
• 2004

In a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution below the required level. To develop control algorithms for a tunnel ventilation system, a dynamic simulation program may be used to predict the pollution level in a tunnel. Research was carried out to develop better pollution models for a tunnel ventilation control system. A neural network structure was adopted and compared by using actual poilution data. Simulation results showed that the dynamic model developed by a neural network may be effective for the development of tunnel ventilation control algorithms.

• 한국전산구조공학회:학술대회논문집
• /
• 한국전산구조공학회 2004년도 가을 학술발표회 논문집
• /
• pp.157-162
• /
• 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.

• 한국터널지하공간학회 논문집
• /
• 제14권2호
• /
• pp.107-116
• /
• 2012

네트워크형 도로터널 내 분기부 구조물과 제트팬에 의한 분기 환기효율 분석하고자 실제 도로터널을 1/45로 축소하여 실험을 수행하였다. 차량이 주행할 때 발생하는 교통관성력을 적용하기 위해 블로워 팬를 사용하여 축소모형 터널내 기류를 형성하였고, 터널의 국부적인 위치에서 속도를 측정하여 분기 효율을 연구하였다. 구조물의 특징으로 발생되는 환기 저감을 개선하기 위해 제트팬을 설치하여 터널 내 환기 효율을 최적화하였다.

• 터널과지하공간
• /
• 제27권3호
• /
• pp.132-145
• /
• 2017

과거 도로터널 환기에 있어서 충격 손실은 설계에 반영되지 않았지만, 터널 내 네트워크형 구조로 인해 분기 합류부가 존재하는 복층 도로터널에서는 충격 손실에 의한 압력 손실이 크게 발생할 것이다. 이에 본 연구에서는 네트워크형 구조를 가지는 복층 도로터널 최적 환기 설계를 위하여 분기 합류 지점에서 발생하는 충격 손실에 대한 3D 전산유체역학(CFD) 수치해석 연구를 수행한다. 이를 위해 복층 도로터널 표준단면을 적용한 실제 스케일 모델을 활용하여 전산 유체 역학을 수행하였고 다양한 각도와 차도폭에 대한 충격 손실 계수를 도출하여 기존의 설계 값과 비교 분석하였다. 연구 결과, 분기 구간에서는 30도의 분류 각도를 가진 모델의 충격 손실 계수가 높게 측정되었고, 합류 구간에서는 2차선으로 설계된 모델의 충격 손실 계수가 낮게 측정됨을 확인할 수 있었다. 따라서 분기 합류 각도와 차도폭이 충격 손실 산정에 있어서 중요한 설계 요소가 될 수 있으므로 환기기 용량 산정에 있어서 정확한 설계 인자를 제시할 것으로 판단된다. 본 연구는 3D 전산유체역학(CFD)를 활용하여 확폭 교차 유 무에 따른 분기 합류 지점에서의 충격 손실 계수를 도출하고, ASHRAE 설계 값과 결과를 비교 분석하였다. 확폭 구간이 반영되지 않은 모델은 ASHRAE 값에 비해 최대 3배의 충격 손실 값을 확인하였고, 확폭 구간이 반영된 모델은 최대 2배의 값을 확인할 수 있었다.

• 한국지구물리탐사학회:학술대회논문집
• /
• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
• /
• pp.252-254
• /
• 2003

In this study, it was purposed to develop the new method for the prediction of pollutant concentration in road tunnels. The new method was the use of artificial neural network with the back-propagation algorithm which can model the non-linear system of tunnel environment. This network system was separated into two parts as the visibility and the CO concentration. For this study, data was collected from two highway road tunnels on Yeongdong Expressway. The tunnels have two lanes with one-way direction and adopt the longitudinal ventilation system. The actually measured data from the tunnels was used to develop the neural network system for the prediction of pollutant concentration. The output results from the newly developed neural network system were analysed and compared with the calculated values by PIARC method. Results showed that the prediction accuracy by the neural network system was approximately five times better than the one by PIARC method. ill addition, the system predicted much more accurately at the situation where the drivers have to be stayed for a while in tunnels caused by the low velocity of vehicles.

• 설비공학논문집
• /
• 제17권2호
• /
• pp.147-155
• /
• 2005

For a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution level below the required level. To control the tunnel pollution level, a closed loop control algorithm may be used. The cascade control algorithm, which composed of a jet fan control algorithm and an air velocity setpoint algorithm, was developed to regulate the CO level in a tunnel. The verification of control algorithms was carried out by dynamic models developed from real tunnel data sets. The simulation results showed that control algorithms developed for this study were effective to control the tunnel ventilation system.

• 터널과지하공간
• /
• 제28권1호
• /
• pp.111-124
• /
• 2018

본 연구는 전세계적으로 활발하게 기술 개발 중인 네트워크형 복층 도로터널에서의 환기 설계를 위해 새롭게 요구되는 설계인자를 분석한다. 분류 및 합류부 지점에 존재하는 확폭구간에서 단면적의 변화에 따라 발생하는 충격손실계수를 결정하기 위해 전산유체역학(CFD)를 통한 수치해석 연구를 진행하였다. 수치해석에 사용된 모델은 실제 스케일을 반영하였고 이전의 선행 연구의 충격손실계수 값과의 비교분석을 통해 그 값의 신뢰성을 확보하였다. 수치해석 연구의 결과로 단면적비의 변화에 따른 충격손실계수 값을 도출해냈고 급확대부와 급축소부 두 경우 모두 이전의 선행 연구에서 제시된 충격손실계수 값보다 높게 계산되어졌다. 이는 네트워크형 복층 도로터널의 기하학적 구조의 특성이 충격손실계수에 미치는 영향이 크다고 판단된다. 따라서 본 연구의 결과 값은 앞으로 네트워크형 복층 도로터널의 환기 설계에 있어 좀 더 정확한 설계에 도움이 될 것으로 기대된다.

• Structural Monitoring and Maintenance
• /
• 제5권3호
• /
• pp.363-377
• /
• 2018

The proper functioning of critical points on transport infrastructure is decisive for the entire network. Tunnels and bridges certainly belong to the critical points of the surface transport network, both road and rail. Risk management should be a holistic and dynamic process throughout the entire life cycle. However, the level of risk is usually determined only during the design stage mainly due to the fact that it is a time-consuming and costly process. This paper presents a simplified quantitative risk analysis method that can be used any time during the decades of a tunnel's lifetime and can estimate the changing risks on a continuous basis and thus uncover hidden safety threats. The presented method is a decision support system for tunnel managers designed to preserve or even increase tunnel safety. The CAPITA method is a deterministic scenario-oriented risk analysis approach for assessment of mortality risks in road tunnels in case of the most dangerous situation - a fire. It is implemented through an advanced risk analysis CAPITA SW. Both, the method as well as the resulting software were developed by the authors' team. Unlike existing analyzes requiring specialized microsimulation tools for traffic flow, smoke propagation and evacuation modeling, the CAPITA contains comprehensive database with the results of thousands of simulations performed in advance for various combinations of variables. This approach significantly simplifies the overall complexity and thus enhances the usability of the resulting risk analysis. Additionally, it provides the decision makers with holistic view by providing not only on the expected risk but also on the risk's sensitivity to different variables. This allows the tunnel manager or another decision maker to estimate the primary change of risk whenever traffic conditions in the tunnel change and to see the dependencies to particular input variables.

• 한국도로학회논문집
• /
• 제14권6호
• /
• pp.103-110
• /
• 2012

PURPOSES : In Korea, over 70 percent of the land consists of mountainous and rolling area. Thus, tunnels continue its upward trend as road network are extended. In these circumstances, the importance of tunnel has been increased nowadays and then its safety investigation and research should be performed. This study is focus on confirming and improving the safety of tunnel. On tunnel hood, sunglare effect can irritate driver's behavior instantly and this can result in incident. METHODS : The study of this phenomenon is rarely conducted in domestic and foreign papers, so there is no proper measure for this. This study analyzes the driving environment of the effect of sunglare effect on tunnel hood. RESULTS : Traffic accidents stem from complex set of factors. This study build the Traffic Accident Prediction Models to find out the effect of sunglare effect on tunnel's hood. The independent variables are traffic volume, geometric design of road, length of tunnel and road side environment. Using these variables, this model estimates accident frequency on tunnel hood by Poisson regression model and Negative binomial regression model. Although Poisson regression model have more proper goodness of fit than Negative binomial regression model, Poisson regression model has overdipersion problem. So the Negative binomial regression model is used in this analysis. CONCLUSIONS : Consequently, the model shows that sunglare effect can play a role in driving safety on tunnel hood. As a result, the information of sunglare effect should be noticed ahead of tunnel hood so this can prevent drivers from being in hazard situation.