• Geomechanics and Engineering
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• 제32권3호
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• pp.271-291
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• 2023

Settlement estimation in cohesion materials is a crucial topic to tackle because of the complexity of the cohesion soil texture, which could be solved roughly by substituted solutions. The goal of this research was to implement recently developed machine learning features as effective methods to predict settlement (S_m) of shallow foundations over cohesion soil properties. These models include hybridized support vector regression (SVR), random forests (RF), and coot optimization algorithm (COM), and black widow optimization algorithm (BWOA). The results indicate that all created systems accurately simulated the S_m, with an R² of better than 0.979 and 0.9765 for the train and test data phases, respectively. This indicates extraordinary efficiency and a good correlation between the experimental and simulated S_m. The model's results outperformed those of ANFIS - PSO, and COM - RF findings were much outstanding to those of the literature. By analyzing established designs utilizing different analysis aspects, such as various error criteria, Taylor diagrams, uncertainty analyses, and error distribution, it was feasible to arrive at the final result that the recommended COM - RF was the outperformed approach in the forecasting process of S_m of shallow foundation, while other techniques were also reliable.

• Geomechanics and Engineering
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• 제28권2호
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• pp.145-155
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• 2022

Safety is a most important parameters in underground railway transportation; Also stability of underground tunnel is very important in tunneling engineering. Design of a reliable support system requires an evaluation of both ground demand and support capacity. Iran's traditional railway tunnels are mainly supported with masonry structures or unsupported in high quality rock masses. A decrease in rock mass quality due to changes in groundwater regime creep and fatigue in rock and similar phenomena causes tunnel safety to decrease during time. The case study is an old tunnel in Iran, called "Keshvar"; it is more than 50 years old railway organization. In operating this Tunnel, until the several problems came up based on stability and leaking water. The goal of study is evaluation of the various reinforcement systems for supporting of the tunnel. The optimal selection of the reinforcement system is examined using TOPSIS Fuzzy method in light of the looming and available uncertainties. Several factors such as; the tunnel span, maintenance, drainage, sealing, ventilation, cost and safety were based to choose the method and system of designing. Therefore, by identifying these parameters, an optimal reinforcement system was selected and introduced. Based on optimization system for analysis, it is revealed that the systematic rock bolts and shotcrete protection had a most appropriate result for these kind of tunnel in Iran.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.474-479
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• 2011

With Beijing's success in bidding for the 2008 Olympic Games, the increasing demand for infrastructure development and reduced public sector funding capacity has created a significant funding gap which calls for alternative project delivery methods such as Public-Private Partnership (PPP). Although the exploration of infrastructure projects using PPP model have been practiced since the late 80s, the $560 million National Stadium which served as the main venue for the Olympic Games is the first stadium project in China to be delivered under PPP operation. The project is generally considered successful despite the concession transfer in 2009 with concern of better serving the public interest. Compared to other infrastructure projects such as transportation, waste management and water management, the development of major sports facilities for mega-sports events with PPP has its own unique features and is subject to different major risks. This research identifies and analyzes critical risks in the implementation of PPP in major sports facility development through case study of the National Stadium project. A questionnaire survey and several interviews are conducted to solicit expert opinions from experienced practitioners. The purpose is to provide additional insights in risk management strategies and opportunities in China's PPP implementations in major sports facilities for policy makers and private sectors involved with investment decisions in future similar infrastructure development.

• Membrane and Water Treatment
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• 제15권1호
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• pp.1-9
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• 2024

Biological nutrient removal is gaining increasing attention in wastewater treatment plants; however, it is adversely affected by low temperatures. This study examined temperature effects on nutrient removal and morphological stability of the granular and denitrifying phosphorus accumulating organisms (PAO and DPAO, respectively) using sequencing batch reactors (SBRs) at 5, 10, and 20 ℃. Lab-scale SBRs were continuously operated using anaerobic-anoxic and anaerobic-oxic cycles to develop the PAO and DPAO granules for 230 d. Sludge granulation in the two SBRs was observed after approximately 200 d. The average removal efficiency of soluble chemical oxygen demand (SCOD) and PO₄^3--P remained >90% throughout, even when the temperature dropped to 5 ℃. The average removal efficiency of NO₃^--N remained >80% consistently in DPAO SBR. However, nitrification drastically decreased at 10 ℃. Hence, the removal efficiency of NH₄⁺-N was decreased from 99.1% to 54.5% in PAO SBR. Owing to the increased oxygen penetration depth at low temperatures, the influence on nitrification rates was limited. The granule in DPAO and PAO SBR was observed to be unstable and disintegrated at 10 ℃. In conclusion, morphological characteristics showed that changed conversion rates at low temperatures in aerobic granular sludge altered both nutrient removal efficiencies and granule formation.

• Tribology and Lubricants
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• 제40권3호
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• pp.71-77
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• 2024

Hydrogen has emerged as an eco-friendly and sustainable alternative to fossil fuels. However, the utilization of hydrogen requires high-pressure compression, storage, and transportation, which poses challenges to the durability of compressor components, particularly the diaphragm. This study aims to improve the durability of 304 stainless steel diaphragms in hydrogen compressors by optimizing their surface roughness and corrosion resistance through wet etching. The specimens were prepared by immersing 304 stainless steel in a mixture of sulfuric acid and hydrogen peroxide, followed by etching in hydrochloric acid for various durations. The surface morphology, roughness, and wettability of the etched specimens were characterized using optical microscopy, surface profilometry, and water contact angle measurements. The friction and wear characteristics were evaluated using reciprocating sliding tests. The results showed that increasing the etching time led to the development of micro/nanostructures on the surface, thereby increasing surface roughness and hydrophilicity. The friction coefficient initially decreased with increasing surface roughness owing to the reduced contact area but increased during long-term wear owing to the destruction and delamination of surface protrusions. HCl-30M exhibited the lowest average friction coefficient and a balance between the surface roughness and oxide film formation, resulting in improved wear resistance. These findings highlight the importance of controlling the surface roughness and oxide film formation through etching optimization to obtain a uniform and wear-resistant surface for the enhanced durability of 304 stainless steel diaphragms in hydrogen compressors.

• Fisheries and Aquatic Sciences
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• 제26권10호
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• pp.593-604
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• 2023

Post-harvest handling and hygienic level of aquatic products significantly affect the quality and level of safety. Cold chain control is one of the determining factors for the quality of fish and the bacterial community that grows on the fish. Identification of spoilage bacteria and pathogens in aquatic products must be made because it will determine the physical and chemical quality. A molecular identification method with high sensitivity is the solution. This study aims to identify the quality of fish and bacterial communities that grow. The research procedures included sample collection, pH measurement, drip loss measurement, transportation and cold storage treatment, DNA extraction, DNA sequencing, sequence analysis, and bioinformatics analysis. The conclusion obtained from this study is that the simulation of the cold chain system applied to eastern little tuna does not significantly affect changes in the water activity value, pH, and drip loss. The insignificant change indicates that the eastern little tuna samples are still in good quality. The bioinformatics analysis showed the highest diversity and abundance of the bacterial community came from the Gammaproteobacterial class.

• Computers and Concrete
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• 제33권6호
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• pp.659-670
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• 2024

The mechanical behaviour of layered concrete samples containing an internal crack was numerically studied by modelling the geo-mechanical specimens in the particle flow code in two dimensions (PFC2D). The numerical modelling software was calibrated with the experimental results of the Brazilian tensile strengths gained from the laboratory disc-type specimens. Then, the samples with the bedding layers and internal notch were numerically simulated with PFC2D under uniaxial compressive loading. In each specimen, the layers' thickness was 10 mm but the layer's inclination angle was changed to 0°, 30°, 60°, 90°, 120° and 150°. Of course, the layers'interfaces are considered to have very low strengths. The internal notch was kept at 3 cm in length however, its inclination angle was changed to 0°, 40°, 60° and 90°. Therefore, a total, of 24 numerical models were made to study the failure mechanism of the layered concrete samples. Considering these results, it has been concluded that the inclination angles of both internal crack and bedding layers affect the failure mechanism and uniaxial compressive strength of the concrete.

• 한국항공운항학회지
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• 제32권2호
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• pp.151-158
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• 2024

Microalgae are aquatic microorganisms capable of photosynthetic growth using water, carbon dioxide and sunlight, and can replace petroleum for transportation. It is receiving great attention as a potential next-generation biological resource. The microalgae biodiesel production process is largely based on the development of highly efficient strains and mass production. It consists of cultivation, harvesting, oil extraction, fuel conversion and by-product utilization. Currently, microalgae diesel is 3-5 times more expensive than petroleum diesel. However, with the optimization of each element technology and the development of integrated systems, not only biofuels, but also industrial materials, wastewater treatment, and greenhouse gases As application expands to various fields such as abatement, the timing of commercialization may be brought forward. Oil prices have recently fallen due to the influence of sail gas. Although there has been a significant drop, global warming is an urgent challenge for current and future generations. In particular, Korea, which does not have oil resources, We must always prepare for political environmental changes, high oil prices, and energy crises. In this paper, the need for eco-friendly biofuel for carbon dioxide conversion. In addition to research trends, domestic and international research trends, and economic prospects, the concept of microalgae and the element technologies of the biodiesel production process are briefly discussed introduced.

• 한국지리정보학회지
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• 제18권4호
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• pp.100-118
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• 2015

본 연구는 위성영상을 이용하여 객체기반 토지피복 분류도를 구축하고 공간통계기법을 통하여 토지피복의 분류항목별 분포패턴을 파악하였다. 객체기반 분류는 분광정보, 질감정보, 분광정보와 질감정보의 조합에 의하여 각각의 토지피복 분류도를 구축하였으며, 정확도 평가를 통하여 최적의 토지피복 분류도를 선정하였다. 또한, 토지피복의 분류항목별 공간적 분포패턴을 파악하기 위하여 핫스팟 분석을 실시하여 정량화하였다. 객체기반 분류를 위한 최적의 가중치는 Scale 52, Shape 0.4, Color 0.6, Compactness 0.5, Smoothness 0.5로 선정하였다. 토지피복 분류도는 분광정보와 질감정보의 조합을 사용하였을 때, 전체 분류정확도가 가장 높았으며, 특히 밭과 시설재배지, 나지의 경우 분광정보만을 사용하였을 때 보다 정확도가 약 12% 이상 증가하였다. DMZ일원의 분류항목별 면적비율은 산림 > 논 > 교통시설 > 초지 > 밭 > 나지 > 건물 > 수역 > 시설재배지 순으로 높았으며, 특히, 양구군의 밭과 교통시설은 민간인통제선 이북지역, 철원군의 밭, 인제군의 산림과 교통시설은 민간인통제선 이남지역에서 주로 분포하는 것으로 나타났다. 분류항목별 분포 패턴의 경우, 농업과 관련된 논, 밭, 시설재배지의 핫스팟(hot spot)은 철원군의 평야 지역과 양구군의 분지 지역에 집중 분포하였다. 나지, 수역, 건물, 도로의 핫스팟 지역은 농업과 관련된 핫스팟 지역과 분포 패턴이 유사한 반면, 산림과 초지의 핫스팟 지역과는 분포 패턴이 상이하였다.

• 한국수자원학회논문집
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• 제54권8호
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• pp.629-641
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• 2021

본 연구에서는 2차원 수치모형(Nays2DH)을 적용하여 금강에 건설된 세종보를 중심으로 보 개방 후에 홍수량 변화에 의한 하도의 지형변화 과정을 분석하였다. 이를 위해 부등류, 부정류(단일사상), 연속홍수사상을 수문특성을 반영한 흐름조건으로 수치모의를 수행하였다. 부등류 수치모의 조건은 유황에 따른 정상유량으로 상류단 경계조건을 가정하였다. 부정류와 연속홍수사상의 경우에는 실제 홍수사상들로부터 정규 수문곡선 (normalized hydrograph)을 산정 한 후, 시나리오에 따른 첨두유량으로 정규 수문곡선을 재구성하여 상류단 유량으로 가정하였다. 본 연구에서는 지형학적 변화를 정량적으로 평가하기 위해 하상기복지수(BRI)를 산정하여 시간에 따른 하상변동을 분석하였으며, 연구지역의 항공사진과 수치모의 결과를 정성적으로 비교하였다. 부등류 수치모의 결과, 각 유황별 유량이 증가하면 하폭 대 수심의 비는 감소하고, 사주의 이동속도는 증가하였다. 하상기복지수는 초기에는 증가하지만, 시간이 증가함에 따라 변화량이 작아졌다. 또한 유량이 증가하면 하상기 복지수가 증가했다. 부정류 수치모의 결과 사주의 이동속도는 유량의 변화에 따라 감소했다. 또한 첨두홍수에 대한 지형적 반응에서 시간지체(time lag)가 발생했다. 즉, 부정류에서는 하상고의 변화는 수리학적 조건에 대하여 위상지연(Phase lag) 이 나타났다. 연속홍수사상 발생에 의한 부정류 수치모의 결과에서는 각각 첨두홍수 발생에 따른 사주의 이동속도는 홍수발생이 반복됨에도 불구하고 급격하게 감소했다. 또한 부정류 수치모의 결과와 마찬가지로 위상지연이 나타났으며 사주의 이동속도는 지수적으로 감소하는 특성을 보였다. 하상기복지수는 시간경과에 따라 증가하였으나, 첨두홍수가 연속으로 발생하였음에도 불구하고 하상기복지수의 증가율은 완만하였다. 본 연구를 통해 하천의 수문특성을 반영한 지형변화 과정을 수치모의를 수행하여 분석하였으며, 이를 통해 흐름특성에 따른 하상변동의 정량적인 예측모의를 현장에 적용할 수 있는 방법을 제시할 수 있을 것으로 판단된다.