• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.11a
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• pp.105-109
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• 2004

우리나라 지형의 특성은 약 70%가 산으로 이루어져 있다. 이러한 지형적 여건은 교통과 관련된 사회간접 자본의 증가로 이어지며, 최근에는 산업의 발전에 힘입어 교통량의 증가와 물류비용의 절감을 목적으로 철도 및 도로의 건설시 터널의 계획 및 시공이 증가되고 있는 추세이다. 이에 따라 터널의 환경개선과 화재시 제연을 목적으로 설치되는 제트팬(Jet Fan)의 용량이 차지하는 전기적 비중이 높아지고, 전압강하에 대한 손실율이 증가되고 있다. 따라서 제트팬의 설치시 배치방법과 터널의 길이에 따른 전기실 배치를 Case 별로 분류하여 전압강하를 계산하고 분석하여 가장 효율적이며 경제적인 방안을 연구하고 정리하여 향후 설계시 기초자료를 제공하고자 하였다.

• 한국정보통신설비학회:학술대회논문집
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• 2003.08a
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• pp.382-384
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• 2003

지하 30m 암반에 건설된 통신구 터널의 안전성을 검토하기 위하여 콘크리트 라이닝 두께를 지중레이다(Ground Penetrating Radar)와 충격반향기법(Impact-Echo Method)으로 추정하였다. 지중레이다에 의한 콘크리트 라이닝 단면의 연속적인 화상으로부터 라이닝 두께의 상대적인 변화를 파악하였으며, 라이닝 두께가 얇은 구간은 충격반향 기법에 의해 일정 간격으로 두께를 추정하였다. 터널 천장의 라이닝 두께는 31.85cm, 좌측 및 우측 측벽부의 라이닝 두께는 각각 32.45cm. 32.97cm로서 설계 값인 30cm와 비교적 잘 일치하는 것으로 파악되었다. 지중레이다와 충격반향기법을 조합한 본 방법은 터널 라이닝 콘크리트 두께를 추정하는데 있어서 매우 효율적이고 신뢰성 있는 방법으로 분석되었다.

• 한국터널공학회:학술대회논문집
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• 2005.04a
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• pp.202-212
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• 2005

배수식 방수방식으로 지하 30m에 건설된 NATM터널 통신구를 준공 7년후 완전방수식 방식으로 변경하였다. 터널 라이닝에 30m의 수압을 작용할 경우 발생하는 단면력을 구조검토하고 배근상태가 안전한가 분석하였다. 또한 라이닝의 시공단면을 확인하기 위하여 충격반향기법(Impact-Echo Method)탐사와 GPR탐사, 배근상태를 파악하기 위하여 철근탐지기를 사용하였다. 그 결과 30m 수압에 안전할 것이라는 판단하에 배면주입 방수공법을 적용 통신구를 완전방수 하였다. 그리고 배수식 통신구를 운용하는 비용과 완전방수공사비를 분석한 결과 배출되는 지하수량이 많은 경우 완전방수시공이 경제성이 있다고 분석되었다.

• Proceedings of the KSR Conference
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• 2001.05a
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• pp.424-430
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• 2001

현대건설(주)는 사업 주관사로서 해외 업체와 대만고속전철 턴키 공사를 2000 년 1 월에 공동으로 수주하였다. 고속전철의 총 연장 길이는 약 326 km 이며, 정거장 10 개소, Depot 및 야적장으로 구성되어 있다. 이번에 수주한 공구는 2 개의 연속된 공구 (C230, C240) 이며, 본 논문은 총 연장 23.6km 인 C230 공구에 대한 설계 과정을 수록하였다. C230 공구는 NATM 터널 (6.2km), Cut-and-Cover 터널 (0.5km), 교량 (7.8km) 및 토공 구간 (9.1km)으로 구성되어 있다. 전 구간의 지반조건은 "매우" 취약한 매질로 구성되어 있으며, 층리나 절리는 거의 발달되어 있지 않다. 따라서 화약발파에 의한 터널 굴착은 기계식 굴착 (Back-hoe Excavation) 방법에 비하여 현실성이 없는 것으로 분석되었다. 취약한 지반에서 계측 결과를 기준으로 굴착 공간을 안전하게 유지할 수 있는 NATM 보강 설계가 현지 암반조건에 가장 이상적인 방법으로 제시되었다. 특히, NAT설계는 대형 아파트 지역과 파쇄대 및 지하수 침투 예상지역을 통과하기 위하여 계측에 의한 Feed-back 과정을 탄력적으로 적용하도록 계획하였다.

• Journal of Navigation and Port Research
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• v.31 no.3 s.119
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• pp.165-172
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• 2007

Logistics needs in Asia are surprisingly increasing due to rapid growth of China in Northeast Asia We are endeavoring to make an economic block in opposition to NAFTA and EU by economic revival, political stability, and easing of exclusive parts between countries as increasing of traffic infra such as asian highway, transcontinental railway in the region of Northeast Asia and as considering diversification of transportation mode. Now, Busan is not a final terminal of this business, and it is not a concreted level in considering an undersea tunnel between Korea and Japan as effort to extend to Japan. Therefore, this study performed an effect analysis which be affected to Northeast Asia and Korea in future by analysis and comparison of a cost and time required of marine transportation and railway before and after construction through course analysis and summary of discussed content until now for undersea tunnel between Korea and Japan. This result expects as a accelerative play for study cf undersea tunnel between Korea and Japan in future. In this result, we estimate that it is an effective things in a cost and time required if undersea tunnel between Korea and Japan is constructed, and we simply searched for theirs effects in the aspects of Northeast Asia, national balanced development, regional economic in Busan, and marine logistics.

• The Journal of Engineering Geology
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• v.27 no.4
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• pp.367-376
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• 2017

Recently, tunneling under the seabed is becoming increasingly common in many countries. In Korea, there are proposals to tunnel from the mainland to Jeju Island. Safe construction requires geologic structures such as faults to be characterized during the design and construction phase; however, unlike on land, such structures are difficult to survey seabed. This study aims to develop an algorithm that uses geostatistics to automatically derive large-scale geological structures on the seabed. The most important considerations in this method are the optimal size of the moving window, the optimal type of spatial statistics, and determination of the optimal percentile standard. Finally, the optimal analysis algorithm was developed using the R program, which comprehensibly presents variations in spatial statistics. The program allows the type and percentile standard of spatial statistics to be specified by the user, thus enabling an analysis of the geological structure according to variations in spatial statistics. The geotechnical defense-training algorithm shows that a large, linear geological lineament is best visualized using a $3{\times}3$ moving window and a 10% upper standard based on the moving variance value and fractile. In particular, setting the fractile criterion to the upper 0.5% almost entirely eliminates the error values from the contour image.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.4
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• pp.519-534
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• 2019

Mechanized tunneling methods, including shield TBM, have been increasingly used for tunnel construction because of their relatively low vibration and noise levels as well as low risk of rock-falling accidents. In the excavation using the shield TBM, it is important to design penetration rate appropriately. In present study, both subsurface investigation data and shield TBM excavation data, produced for and during ${\bigcirc}{\bigcirc}{\sim}{\bigcirc}{\bigcirc}$ high-speed railway construction, were analyzed and used to compare with shield TBM penetration rates calculated using existing penetrating rate prediction models proposed by several foreign researchers. The correlation between thrust force per disk cutter and uniaxial compressive strength was also examined and, based on the correlation analysis, a simple prediction model for penetration rate was derived. The prediction results using the existing prediction models showed approximately error rates of 50~500%, whereas the results from the simple model proposed from this study showed an error rate of 15% in average. It may be said, therefore, that the proposed model has higher applicability for shield TBM construction in similar ground conditions.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.419-432
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• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.73-87
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• 2023

Furnishing traffic safety information can contribute to providing hazard warnings to drivers, thereby avoiding crashes. A smart road lighting platform that instantly recognizes road conditions using various sensors and provides appropriate traffic safety information has therefore been developed. This study analyzes the short-term traffic safety improvement effects of the smart road lighting's tunnel traffic safety information service using surrogate safety measures (SSM). Individual driving behavior was investigated by applying the vehicle trajectory data collected with RADAR in the Anin Avalanche 1 and 2 tunnel sections in Gangneung. Comparing accumulated speeding, speed variation, time-to-collision, and deceleration rate to avoid the crash before and after providing traffic safety information, all SSMs showed significant improvement, indicating that the tunnel traffic safety information service is beneficial in improving traffic safety. Analyzing potential crash risk in the subdivided tunnel and access road sections revealed that providing traffic safety information reduced the probability of traffic accidents in most segments. The results of this study will be valuable for analyzing the short-term quantitative effects of traffic safety information services.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.6
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• pp.749-762
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• 2019

In recent years, in urban areas, underground of roads are being promoted in order to resolve traffic congestion and to secure green spaces, and due to the low ratio of large vehicles, they are planned or constructed as road tunnels for small cars only. In addition, the tunnels being built in the city is a tendency to be enlarged to play the role of main roads. Accordingly, the capacity of the ventilation system is increasing and various ventilation methods are required, and the importance of maintenance after the completion of the tunnel such as the operating cost of the ventilation system is emphasized. Therefore, the need for optimization of the operation stage for reducing the power consumption of the ventilation system and the study of the ventilation system operation control logic is increasing. In this study, the study on the necessity of the optimization of operation stage and control logic of the ventilation system was carried out to realize the energy-saving operation for the small car only passing through tunnels which is applied of ① jet fan and combination ventilation system (② jet fan + air purifying equipment, ③ jet fan + vertical shaft, ④ jet fan + supply air semi-transverse). As a result of this study, there can be various operating combinations in the case of the combined ventilation system, and even though the amount of ventilation air is the same, the operating power varies greatly according to the operating combinations. It was found that operating the axial fan first rather than the jet fan first operation method has an effect on power saving.