• 한국안전학회지
• /
• 제20권3호
• /
• pp.112-119
• /
• 2005

In road tunnel, in order to prevents an accident and minimize the damage of an accident in the case of fire, safety facilities and equipments are integral parts. The type and amount of safety facilities are based on tunnel type and length, traffic flow rate, etc. Therefore many countries use a tunnel classification system that categories tunnel into groups, and specifies the necessary emergency equipment for each group. In this study, for the purpose of classifying tunnel based on tunnel ist investigated the domestic and foreign standards and regulations for safety of road tunnel. As a results, we suggest the method of classification of tunnel by traffic performance, tunnel grade, the volume of traffic, fraction of HGV, rules or regulations for transports of dangerous good through tunnel.

• 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.

• 한국화재소방학회논문지
• /
• 제31권5호
• /
• pp.107-116
• /
• 2017

터널화재는 국제적인 관심사이며, 매년 중대 터널화재는 발생하고 있다. 교통밀도가 증가하면서 장대터널은 물론, 더 많은 수의 터널이 건설되고 있어서, 앞으로 터널화재의 잠재위험성이 더 나빠질 수 있으므로 더욱더 심각한 문제이다. 도로터널 화재발생시 소방대원이 효과적인 소방활동 전략을 수립하도록 하는 것이 본 연구의 궁극적 목적이다. 과거 화재 사례로부터 어떠한 사고가 발생하였고, 어떠한 소방활동이 행해졌는지 알아보기 위하여 국내외 73건의 터널화재사고사례를 조사하여 4가지 사고유형으로 분류하였다. 소방활동의 전략수립을 위해 개입시간과 열방출율의 관계로 6가지 화재시나리오 곡선을 도출하였다. 이것은 두 가지 기준 즉, 반응한계와 최대 도착시간에 따라 소방활동의 전략을 수비적, 공격적 전략 중 선택할 수 있도록 하였다. 도로터널 분류 모델은 각 소방기관이 관할 터널의 화재 위험 정도를 화재 진압의 관점에서 평가하고 예방조치를 수립하는데 사용될 수 있다.

• 대한임베디드공학회논문지
• /
• 제11권5호
• /
• pp.313-323
• /
• 2016

With the development of autonomous vehicle, there has been active research on advanced driver assistance system for road marking detection using vision sensor and 3D Laser scanner. However, vision sensor has the weak points that detection is difficult in situations involving severe illumination variance, such as at night, inside a tunnel or in a shaded area; and that processing time is long because of a large amount of data from both vision sensor and 3D Laser scanner. Accordingly, this paper proposes a road marking detection and classification method using single 2D Laser scanner. This method road marking detection and classification based on accumulation distance data and intensity data acquired through 2D Laser scanner. Experiments using a real autonomous vehicle in a real environment showed that calculation time decreased in comparison with 3D Laser scanner-based method, thus demonstrating the possibility of road marking type classification using single 2D Laser scanner.

• 한국BIM학회 논문집
• /
• 제6권2호
• /
• pp.29-38
• /
• 2016

Road bridges are deteriorating gradually, and it is forecasted that the number of road bridges aging over 30 years will increase by more than 3 times of the current number. To maintain road bridges in a safe condition, current safety conditions of the bridges must be estimated for repair or reinforcement. However, budget and professional manpower required to perform in-depth inspections of road bridges are limited. This study proposes an estimation model for safety rating of road bridges by analyzing the data from Facility Management System (FMS) and Yearbook of Road Bridges and Tunnel. These data include basic specifications, year of completion, traffic, safety rating, and others. The distribution of safety rating was imbalanced, indicating 91% of road bridges have safety ratings of A or B. To improve classification performance, five safety ratings were integrated into two classes of G (good, A and B) and P (poor ratings under C). This rearrangement was set because facilities with ratings under C are required to be repaired or reinforced to recover their original functionality. 70% of the original data were used as training data, while the other 30% were used for validation. Data of class P in the training data were oversampled by 3 times, and Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was used to develop the estimation model. The results of estimation model showed overall accuracy of 84.8%, true positive rate of 67.3%, and 29 classification rule. Year of completion was identified as the most critical factor on affecting lower safety ratings of bridges.

• 한국구조물진단유지관리공학회 논문집
• /
• 제4권4호
• /
• pp.129-140
• /
• 2000

Retaining wall is a constructed structure in order to construct road, rail, building for effective use and obtainments of the limited ground. Recently, many kinds of research have been actively developed for a standardization and information to the maintenance and management of bridge, tunnel, road. With the works of database construction of that, many kinds of data with respect to statistics is cumulated. Database work of retaining wall is wholly lacking and lagged behind in the works of database construction. This paper suggests classification system on inspection data. On the basis of that, code work with classification system was practised and DB program of inspection data of retaining wall was developed. And input work for a data of maintenance and management was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on retaining wall.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2008년도 동계학술발표대회 논문집
• /
• pp.75-79
• /
• 2008

Since tunnel construction order was placed one by one, various sensors and actuators installed at the RTU and higher level system in each tunnel maintenance office had their own protocols depending on construction company. The TGMS testbed established on the extended region of Yong-dong Highway, for example, did not have consistent protocol between each automation levels and management levels without considering the functions and/or roles of each level. The management sever in each tunnel was simply networked to the TGMS server. Therefore, it is impossible to implement a new control algorithm as well as to integrate each other since each tunnel was constructed by different company. So, if the construction company is out of business, there is no way to maintain the corresponding tunnel effectively. In order to solve this problem, all the necessary standard protocols was established between automation level and management levels. These interface standards provide the clear classification between individual tunnel system and tunnel management system. So, even if construction company is different, its effect is minimized, so that it is expected to successfully establish PC based TGMS.

• 한국터널지하공간학회 논문집
• /
• 제3권4호
• /
• pp.17-24
• /
• 2001

본 연구에서는 시공여건이 유사한 도로터널 4개소을 선정하여 실내시험 및 막장지질조사를 실시하였고 그 결과와 점보드릴을 활용하여 얻을수 있는 비트마모율과 굴착지수의 상관관계를 지보패턴별로 분석하였다. 연구대상 4개 도로터널에 대한 평균비트마모율은 지보패턴별로 11.85%에서 3.25%로 차이를 보였고 굴착지수는 주로 파쇄대의 발달정도에 따라 변동이 발생하였다.

• 터널과지하공간
• /
• 제9권3호
• /
• pp.214-220
• /
• 1999

본 연구에서는 RMR system항목들의 타당성을 평가하였고 국내현장에서 측정한 데이터에 대한 적용성을 검토하였다. 데이터베이스는 전국에 걸쳐 지하철, 철도, 도로 터널로 구분하여 139개 현장으로부터 작성하였다. Bieniawsk의 원분류는 경험적으로 도출되었지만 비교적 타당한 것으로 분석되었다. 그러나 국내 현장에 적용할 때에는 상당한 차이가 있어서 국내의 데이터베이스로 추론한 새로운 암반분류 시스템 KRMR1과 KRMR2를 제안하였다. KRMR1에서는 인자들의 등 급비중을 조정하였으며 KRMR2에는 2개의 인자를 추가하였다. 이 과정에서 암반의 성질을 평가하는 ‘특성치’의 선택이 어려워 인공신경 망을 이용하여 추론하였다.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2006년도 동계학술발표대회 논문집
• /
• pp.104-104
• /
• 2006