• Title/Summary/Keyword: road structure

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Deformation Behavior Underground Pipe with CLSM (유동성 채움재를 이용한 지하 매설관의 변형특성 연구)

  • Park, Jae-Hun;Lee, Kwan-Ho;Jo, Jae-Yun;Sung, Sang-Kyu
    • International Journal of Highway Engineering
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    • v.5 no.2 s.16
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    • pp.25-35
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    • 2003
  • During construction of circular lifeline pipe, the non-proper compaction along the pipe and the decrease of compaction efficiency are the main problems to induce the failure of underground pipe. The use of CLSM(controlled low strength materials) is one of the applications to overcome those problems. In this research, the numerical analysis by PENTAGON FEM program was carried out for 20 cases with the couple of combinations on bedding materials, backfill materials, and pipes. From the FEM analysis, the use of CLSM as backfill materials reduced the settlement of ground surface and the deformation of pipe employed. In case of the vertical deformation on the pipe, common soil backfill for flexible pipes showed 2 times for rigid pipes, but CLSM backfill case did less deformation than the soil backfill for rigid pipes. CLSM backfills for rigid pipes showed the similar results. Judging from the FEM analysis, the use of CLSM increases the structure capacity of the underground pipes.

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Gravity Survey on the Subsurface Structure between Waekwan-Pohang in Kyoungsang Basin (중력탐사(重力探査)에 의(依)한 경상층군내(慶尙層群內) 왜관(倭館)-포항간(浦項間)의 지하구조(地下構造) 연구(硏究))

  • Min, Kyung Duck;Chung, Chong Dae
    • Economic and Environmental Geology
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    • v.18 no.4
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    • pp.321-329
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    • 1985
  • The gravity measurement has been conducted at 113 stations with an interval of about 1km along the national road of about 120km running from Busangdong to Pohang through Waekwan, Daegu, Youngchun and Aankang. The subsurface geology and structure along the survey line is interpreted from Bouguer anomaly by applying Fourier method and Talwani method for two dimensional body. The mean depth of Moho discontinuity is 31.4km, and the depth decreases very slowly from inner continent toward east coast. The depth of Conrad discontinuity increases from 11km at the east coastal area to 17km at the inner continental area, and especially increases rapidly in the area between Waekwan to Busangdong. The depth of basement of Kyoungsang Basin inereases from near Waekwan toward Daegu upto about 4. 8km, and increases rapidly to reach the maximum depth of about 8.5km at 8km east of Daegu. But it starts to decrease from the place of 10km west of Youngchun, and is about 7.2km at Youngchun and about 6km at 6km east of Youngchun. The depth starts to increase smoothly beyond this point, and is 7km at 15km east of Youngchun. From this point, the depth starts to decrease again, and is about 3.8km at Ankang. The depth of basement of Pohang Basin is 500m at Pohang and about 650m at 5km west of Pohang. A massive granite body which is considered to be a part of Palgongsan Granite exposed at the depth of 1. 5km at 9km west of Youngchun. Another massive granite body is situated underneath the Pohang Basin at depth of 1.5 to 2km, and sedimentary rocks of Kyoungsang Group and volcanic rocks are distributed between Pohang Basin and this granite body. Finally, Yangsan Fault is identified at about 2.5km east of Ankang.

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Gravity Measurement and Interpretation of the Subsurface Structure of the Kyongsang Basin between Masan-Busan Area (중력탐사(重力探査)에 의(依)한 마산(馬山)-부산간(釜山間)의 지하구조(地下構造) 연구(硏究))

  • Min, Kyung Duck;Kim, Jeong Woo
    • Economic and Environmental Geology
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    • v.20 no.3
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    • pp.203-209
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    • 1987
  • The gravity measurement has been conducted at 69 points with an interval of about 1km along the national road between Masan and Busan through Kimhae to study on the subsurface geology and structure of Kyongsang basin. The Bouguer gravity anomalies were obtained from the observed gravity values, and interpreted by means of the Fourier-series method and Talwani method for 2-dimensional body. The depth of Conrad discontinuity is about 14.8km at the west end of survey line, and increases smoothly to about 13.6km at the east end. But it is uplifted by about 500m between Yangsan and Dongnae faults. The depth of the basement of Kyongsang basin is about 4.8km at the west end. It decreases gradually passing Masan, and reaches the maximum depth of 5.6km at the 15km east of Masan. Hereafter, it starts to increase to 4.3km at the east end. It is also uplifted by about 500m between Yangsan and Dongnae faults. The Bulgugsa granites which cause two low Bouguer gravity anomaly zones are distributed in the vicinity of Masan at depth of about 3.5km and Kimhae area at depth of about 5.3km. Diorite, granodiorite, aplite, and felsite are distributed with various depth of about 1~1.7km, and Jusasan andesitic rocks, except porphyritic one located at the west of Kimhae, are distributed with depth of about 1km. Three fracture zones associated with faults are located at the places where v-shaped Bouguer gravity anomalies are appeared.

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A Study on Network Hierarchy Model which uses a Dynamic Segmentation Technique (동적 분할 기법을 이용한 네트워크 계층 모델에 관한 연구)

  • Joo, Yong-Jin;Lee, Yong-Ik;Moon, Kyung-Ky;Park, Soo-Hong
    • Spatial Information Research
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    • v.14 no.2 s.37
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    • pp.245-260
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    • 2006
  • A practical use of the location information and user requirement are increased in a mobile environment which supports the portability. And Various service which GIS is related with a Spatial DB have been processed. Generally, logical relation of a traffic network which organizes the Road DB uses a basic node-link structure. In this way, Designed structure can not be flexible at various model apply and are not efficient with a database retrieval in a maintenance management side. In this research, We supplement with the problem of a existing network model and the limitation of the building through the design of a network model which uses dynamic segmentation. And we tried to implement efficient hierarchy model at the retrieval of the network and presentation. Designed model supports a stage presentation of various level and a hierarchy entity relation and We are expected to supplement a network spatial modelling function which the GIS has.

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Changes in Forest Disturbance Patterns from 1976 to 2005 in South Korea

  • Park, Pil Sun;Lee, Kyu Hwa;Jung, Mun Ho;Shin, Hanna;Jang, Woongsoon;Bae, Kikang;Lee, Jongkoo;Lee, Don Koo
    • Journal of Korean Society of Forest Science
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    • v.98 no.5
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    • pp.593-601
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    • 2009
  • Forest disturbances including forest fire, insect pests and diseases, landslides, and forest conversion from 1976 to 2005 were investigated to trace the changes of major forest disturbance agents and their characteristics over time in accordance with changes in natural and social environment in South Korea. While the damaged area by insect pests and diseases continuously decreased for the past 30 years, damaged areas by forest fire and landslide were fluctuating through years. The interval of large forest fires has become shorter with increased tree volume. The precipitation between January and April were significantly correlated with large fire occurrences as Pearson's correlation coefficient -0.400 (P=0.029). The composition of major insect pests and diseases damaging Korean forests has been changed continuously, and become more diversified. While damages by pine caterpillar (Dendrolimus spectabilis) and pine needle gall midge (Thecodiplosis japonensis) decreased, damage by introduced pests has been more serious recently. The change of precipitation pattern that brought more localized heavy rain or powerful typhoon resulted in the recent increase in landslide areas. The major land uses to induce forest conversion have been changed, reflecting the changes in industrial structure in South Korea as agriculture and mining in 1970s, mining and golf ranges classified in pasture in 1980s, and road and housing construction in 1990s and 2000s. Changes in forest disturbance patterns in South Korea show that a country's industrial development is jointly working with global warming on forest stand dynamics. Altering energy structure and land use pattern induced by industrial development accumulates forest volume and reforms microenvironments on forest floor, interacting with climate change, inducing shorter interval of large forest fire and changes in major species composition of forest insect pests and diseases.

Optimal Design of Lightweight Frame for Heavy Flat-Bed Trailer by Using Taguchi Method (다구찌기법을 이용한 대형 평판트레일러 하부프레임 경량설계)

  • Kim, Jin-Gon;Yoon, Min-Su
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.3
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    • pp.353-359
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    • 2010
  • For achieving economical fuel consumption, an increase in the load bearing capacity, and for environmental conservation, there is a constant demand for lightweight frames of commercial vehicles used in the transportation industry. In this study, a structural analysis of the frame of a heavy flat-bed trailer was performed to determine the optimal design of a new lightweight frame made of high-strength steel. To identify the key design parameters of the trailer frame, Taguchi's orthogonal array was used in the experiments. Using ANSYS, a commercial FEA program, the frame structure was optimized with respect to stress, deflection, and torsional stiffness by performing stress and vibration analyses. A physical model of the trailer was also built to verify the validity of the numerical analyses. Finally, an on-road fatigue test of the new lightweight frame made of the high-strength steel, ATOS80, was performed to confirm the durability of the new design.

A Development of the Accident Prediction Models Considering Compound Curves (복합선형 사고예측모형 개발에 관한 연구)

  • Lee, Soo-Il;Won, Jai-Mu;Im, Ji-Hee;Lee, Jae-Myung
    • Journal of the Korean Society of Safety
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    • v.25 no.2
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    • pp.84-88
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    • 2010
  • The main point of this study is to find ways to prevent accidents at complex linear sections in advance by improving geometric structure elements that can be considered from the designing stage. Complex linear roads are consisted of sections where straight sections connect with curved sections or sections where curved sections connect with curved sections with relatively high possibility of accidents and accidents can be reduced through improving designing elements in these sections. Therefore, this study aims to develop accident forecasting model in complex linear roads and to clarify major elements affecting traffic accidents. The results of analysis showed that the groups are divided into a group less than 355m based on curve radius of 355m, a group whose curve radius exceeds 355m and a group whose incline exceeds -0.79 and a group whose curve radius is below 355m and incline exceeds -0.79 for straight section + curved section, and for curved section + curved section, it is divided into a group whose first curved section is less than 410m based on curve radius of 410m and the first curve is turning right and a group exceeding 410m and the first curve is turning left. The major variables common in 2 models are front curve radius and curve types(left, right), road surfaces, weather.

Evaluation of the Effect of Aggregate Structure on Rutting Performance of Asphalt Pavement (아스팔트 포장의 소성변형에 대한 골재 구조의 영향 평가)

  • Kim, Boo-Il
    • International Journal of Highway Engineering
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    • v.9 no.4
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    • pp.135-147
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    • 2007
  • Segregation in asphalt pavements occurs as a result of the non-uniform distribution of coarse and fine aggregates and causes premature distresses, such as cracking, raveling, and stripping. The effect of segregation on rutting, however, has not been clearly identified. Experimental and analytical work performed in this study indicates that rutting performance is affected by segregation of mixtures. However, the aggregate structure of mixtures appears to be a more critical factor that determines the rutting performance, rather than the level of segregation. Based on the field mixtures evaluated, an increase of coarse aggregate volume in an asphalt mixture is an important factor that results in good rutting performance. This effect holds true for mixtures with lower levels of air voids, but for mixtures with higher levels of air voids, the air voids effect becomes dominant, resulting in a reduction in rutting performance. An air void content of 10% appears to be a threshold that determines the rutting performance of Superpave mixtures. Once the air void content exceeds 10%, the rutting performance of Superpave mixtures decreases significantly, despite the coarse aggregate volume.

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Experimental Study on Correlation Analysis of Air-void, Air-spacing factor and Long-term Durability for Roller-compacted Concrete pavement (롤러 전압 콘크리트 포장의 공기량 및 기포간격계수와 장기 내구성의 상관관계 분석을 위한 실험적 연구)

  • Lee, Jun Hee;Lee, Seung Woo
    • International Journal of Highway Engineering
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    • v.18 no.1
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    • pp.63-72
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    • 2016
  • PURPOSES : The use of roller-compacted concrete pavement (RCCP) is an environmentally friendly method of construction that utilizes the aggregate interlock effect by means of a hydration reaction and roller compacting, demonstrating a superb structural performance with a relatively small unit water content and unit cement content. However, even if an excellent structural performance was secured through a previous study, the verification research on the environmental load and long-term durability was conducted under unsatisfactory conditions. In order to secure longterm durability, the construction of an appropriate internal air-void structure is required. In this study, a method of improving the long-term durability of RCCP will be suggested by analyzing the internal air-void structure and relevant durability of roller-compacted concrete. METHODS : The method of improving the long-term durability involves measurements of the air content, air voids, and air-spacing factor in RCCP that experiences a change in terms of the kind of air-entraining agent and chemical admixture proportions. This test should be conducted on the basis of test criteria such as ASTM C 457, 672, and KS F 2456. RESULTS : Freezing, thawing, and scaling resistance tests of roller compacted concrete without a chemical admixture showed that it was weak. However, as a result of conducting air entraining (AE) with an AE agent, a large amount of air was distributed with a range of 2~3%, and an air void spacing factor ranging from 200 to $300{\mu}m$ (close to $250{\mu}m$) coming from PCA was secured. Accordingly, the freezing and thawing resistance was improved, with a relative dynamic elastic modulus of more than 80%, and the scaling resistance was improved under the appropriate AE agent content rate. CONCLUSIONS : The long-term durability of RCCP has a direct relationship with the air-void spacing factor, and it can be secured only by ensuring the air void spacing factor through air entraining with the inclusion of an AE agent.

Development and testing of a composite system for bridge health monitoring utilising computer vision and deep learning

  • Lydon, Darragh;Taylor, S.E.;Lydon, Myra;Martinez del Rincon, Jesus;Hester, David
    • Smart Structures and Systems
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    • v.24 no.6
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    • pp.723-732
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    • 2019
  • Globally road transport networks are subjected to continuous levels of stress from increasing loading and environmental effects. As the most popular mean of transport in the UK the condition of this civil infrastructure is a key indicator of economic growth and productivity. Structural Health Monitoring (SHM) systems can provide a valuable insight to the true condition of our aging infrastructure. In particular, monitoring of the displacement of a bridge structure under live loading can provide an accurate descriptor of bridge condition. In the past B-WIM systems have been used to collect traffic data and hence provide an indicator of bridge condition, however the use of such systems can be restricted by bridge type, assess issues and cost limitations. This research provides a non-contact low cost AI based solution for vehicle classification and associated bridge displacement using computer vision methods. Convolutional neural networks (CNNs) have been adapted to develop the QUBYOLO vehicle classification method from recorded traffic images. This vehicle classification was then accurately related to the corresponding bridge response obtained under live loading using non-contact methods. The successful identification of multiple vehicle types during field testing has shown that QUBYOLO is suitable for the fine-grained vehicle classification required to identify applied load to a bridge structure. The process of displacement analysis and vehicle classification for the purposes of load identification which was used in this research adds to the body of knowledge on the monitoring of existing bridge structures, particularly long span bridges, and establishes the significant potential of computer vision and Deep Learning to provide dependable results on the real response of our infrastructure to existing and potential increased loading.