• 제목/요약/키워드: Threshold Velocity

검색결과 183건 처리시간 0.028초

Aerodynamic effect of wind barriers and running safety of trains on high-speed railway bridges under cross winds

  • Guo, Weiwei;Xia, He;Karoumi, Raid;Zhang, Tian;Li, Xiaozhen
    • Wind and Structures
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    • 제20권2호
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    • pp.213-236
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    • 2015
  • For high-speed railways (HSR) in wind prone regions, wind barriers are often installed on bridges to ensure the running safety of trains. This paper analyzes the effect of wind barriers on the running safety of a high-speed train to cross winds when it passes on a bridge. Two simply-supported (S-S) PC bridges in China, one with 32 m box beams and the other with 16 m trough beams, are selected to perform the dynamic analyses. The bridges are modeled by 3-D finite elements and each vehicle in a train by a multi-rigid-body system connected with suspension springs and dashpots. The wind excitations on the train vehicles and the bridges are numerically simulated, using the static tri-component coefficients obtained from a wind tunnel test, taking into account the effects of wind barriers, train speed and the spatial correlation with wind forces on the deck. The whole histories of a train passing over the two bridges under strong cross winds are simulated and compared, considering variations of wind velocities, train speeds and without or with wind barriers. The threshold curves of wind velocity for train running safety on the two bridges are compared, from which the windbreak effect of the wind barrier are evaluated, based on which a beam structure with better performance is recommended.

Particle Swarm Optimization based on Vector Gaussian Learning

  • Zhao, Jia;Lv, Li;Wang, Hui;Sun, Hui;Wu, Runxiu;Nie, Jugen;Xie, Zhifeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권4호
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    • pp.2038-2057
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    • 2017
  • Gaussian learning is a new technology in the computational intelligence area. However, this technology weakens the learning ability of a particle swarm and achieves a lack of diversity. Thus, this paper proposes a vector Gaussian learning strategy and presents an effective approach, named particle swarm optimization based on vector Gaussian learning. The experiments show that the algorithm is more close to the optimal solution and the better search efficiency after we use vector Gaussian learning strategy. The strategy adopts vector Gaussian learning to generate the Gaussian solution of a swarm's optimal location, increases the learning ability of the swarm's optimal location, and maintains the diversity of the swarm. The method divides the states into normal and premature states by analyzing the state threshold of the swarm. If the swarm is in the premature category, the algorithm adopts an inertia weight strategy that decreases linearly in addition to vector Gaussian learning; otherwise, it uses a fixed inertia weight strategy. Experiments are conducted on eight well-known benchmark functions to verify the performance of the new approach. The results demonstrate promising performance of the new method in terms of convergence velocity and precision, with an improved ability to escape from a local optimum.

국내 정부출연연구기관 및 대학교 실험실 공기 오염물질 농도 및 환기시스템 평가 (Evaluation of Air Contaminants Concentrations and Ventilation Systems in Governmental Agency and University Laboratories)

  • 하주현;신용철;이현석;;이광용;이병규
    • 한국산업보건학회지
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    • 제20권1호
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    • pp.63-69
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    • 2010
  • This study was conducted to compare the concentration of various air contaminants in nine different laboratories during routine activities. Volatile organic compounds (VOC) were sampled and analyzed using NIOSH Method 1500 and asbestos fibers were sampled and analyzed using NIOSH Method 9002 and 7400. Detectable levels of acetone, toluene and ethanol were found in all the laboratories and xylene and n-hexane were detected in eight of the nine laboratories. All the VOC concentrations were well below the Korean Ministry of Labor's Exposure Limit and American Conference of Governmental Industrial Hygienists' (ACGIH) Threshold Limit Values (TLVs). Total VOC concentrations at the university laboratories were significantly higher than those at governmental agency laboratories. Airborne fiber concentrations were below 0.01 fibers/cc, while the concentration of chrysotile was 2% in insulation materials sprayed on the ceiling of one laboratory. While all the governmental agency laboratories (n=4) had fume hoods, two out of the five university laboratories did not have fume hoods. The capture velocity of half of the fume hoods were below the maintenance standard(0.4 m/sec). In conclusion, the study suggests that the current controls in place at both university and government agency laboratories are not sufficient in limiting exposure to harmful chemicals to non-detectable levels, though they appear to be adequate in protecting workers to levels below applicable occupational exposure limits. The study also suggests that researchers working in university laboratories may be exposed to greater levels of contaminant than those working in government agency laboratories.

주기적으로 회전진동하는 원주 후류의 공진특성에 관한 연구 (Lock-on Characteristics of Wake Behind a Rotationally Oscillating Circular Cylinder)

  • 이정엽;이상준
    • 대한기계학회논문집B
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    • 제29권8호
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    • pp.895-902
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    • 2005
  • Lock-on characteristics of flow around a circular cylinder oscillating rotationally with a relatively high forcing frequency have been investigated experimentally. Dominant governing parameters are Reynolds number (Re), angular amplitude of oscillation (${\theta}_A$), and frequency ratio $F_R=f_f/f_n,\;where\;f_f$ is a forcing frequency and $f_n$ is a natural frequency of vortex shedding. Experiments were carried out under the conditions of $Re=4.14{\times}10^3,\;{\pi}/90{\leq}{\theta_A}{\leq}{\pi}/3,\;and\;F_R=1.0$. The effect of this active flow control technique on the lock-on flow characteristics of the cylinder wake was evaluated with wake velocity measurements and spectral analysis of hot-wire signals. The rotational oscillation modifies the flow structure of near wake significantly. The lock-on phenomenon always occurs at $F_R=1.0$, regardless of the angular amplitude ${\theta}_A$. In addition, when the angular amplitude is less than a certain value, the lock-on characteristics appear only at $F_R=1.0$,. The range of lock-on phenomena expands and vortex formation length is decreased, as the angular amplitude increases. The rotational oscillation create a small-scale vortex structure in the region just near the cylinder surface. At ${\theta}_A=60^{\circ}$, the drag coefficient was reduced about $43.7\%$ at maximum.

SAD 알고리즘을 이용한 차량 속도 측정 (Vehicle Speed Measurement using SAD Algorithm)

  • 박성일;문종대;고영혁
    • 한국인터넷방송통신학회논문지
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    • 제14권5호
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    • pp.73-79
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    • 2014
  • 본 논문에서는 비디오 시?스에서 차들을 추적하고 검출하기 위해서 비디오와 이미지 처리를 활용하여 고속도로 및 일반 도로상의 교통흐름과 차량의 속도를 계측하는 기법을 제안했다. 제안된 기법은 배경이미지를 평가하기 위해서 비디오 스트림의 처음 프레임을 활용하였다. 비쥬얼 추적 시스템은 프레임 절대 차의 합을 토대로 한 단순한 알고리즘이다. 그것은 각 비디오 프레임으로부터 전경 이미지를 산출하기 위해서 배경화면을 빼고, 각 전경 이미지에 형태적 제거를 실행하고 임계값화 함으로서 임계치 윈도우에서 보인 이진이미지를 산출한다. 첫 번째 하얀 라인과 두번째 하얀 라인사이 거리를 측정하여 차의 위치를 찾았다. 평균속도는 물체의 위치 변화를 장소가 변하는 시간으로 나눔으로서 정의했다. 제시된 기법의 결과는 측정된 데이터와 잘 일치되었고, 실시간으로 결과를 본다.

유한요소 폭풍해일 모형을 이용한 직립안벽에 대한 범람모의 (Inundation Simulation on a Vertical Dock Using Finite Element Storm Surge Model)

  • 서승원;이화영
    • 한국해안·해양공학회논문집
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    • 제24권4호
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    • pp.235-246
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    • 2012
  • 연안방재계획 수립을 위한 기초자료 생성의 일환으로 태풍에 의한 해일 범람모의를 수행하였다. 통상적인 침수-노출 처리가 불가한 직립안벽을 갖는 항만역의 특징이 반영되도록 가상의 내부제방 개념을 도입하여 해석하였다. 목포항에 대한 실제해역 적용에 앞서 단순해역에서 다수의 적용성 평가를 통해 내부제방의 폭은 1 m가 적정한 것으로 평가되었다. 해일범람으로 인한 침수면적과 침수심 산정에 민감하게 작용하는 육역의 침수-노출 처리기법에서의 최소침수심은 격자에 의존적이나 10 m 내외의 유한요소 상세격자에서는 0.01 m가 적정한 것으로 판단된다. 기존 태풍경로에 준거한 100년 빈도급 중심기압과 최대풍속을 가지며 비대칭 경도풍과 파랑효과가 고려된 가상태풍의 내습에 따른 목포해역의 침수예상역이 모의되었다. 침수면적은 기존 연구결과와 유사성을 나타내지만 항만권역 일부에서 확대 가능성이 있는 것으로 평가된다.

멸구 매미충의 포식성천적 등검은황록장님노린재의 생활사 (Life Cycle of the Mirid Predator, Cyrtorhinus lividipennis Reuter, (Hemiptera: Miridae))

  • 최재승;고현관;엄기백;최귀문;황창연
    • 한국응용곤충학회지
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    • 제31권4호
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    • pp.492-495
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    • 1992
  • 멸구매미충의 포식성천적인 등검은황록장님노린재의 온도별 난기간, 약충기간, 성충기간(female) 및 산란수를 조사 하였고 온도와 난과 약충의 발육속도와의 관계를 조사하였다. 온도별 난기간은 20, 25, $30^{\circ}C$에서 각각 14.43, 9.33, 6.94일 이었다. 약충기간은 20, 25, $30^{\circ}C$에서 각각 24.30, 14.42, 11.90일 이었다. 성충기간(female)은 20, 25, $30^{\circ}C$에서 각각 11.20, 11.93, 11.89일 이었다. 발육영점온도는 난이 $^10.7{\circ}C$, 약충이 $9.8^{\circ}C$였으며 난에서 약충까지는 $10.2^{\circ}C$였고, 유효적산온일도는 난이 133.9, 약충이 235.8, 난에서 약충까지는 368.0온일도 있었다. 산란수는 25, $30^{\circ}C$에서 각각 26.0, 22.4개 이었다.

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A Neural Network and Kalman Filter Hybrid Approach for GPS/INS Integration

  • Wang, Jianguo Jack;Wang, Jinling;Sinclair, David;Watts, Leo
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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    • pp.277-282
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    • 2006
  • It is well known that Kalman filtering is an optimal real-time data fusion method for GPS/INS integration. However, it has some limitations in terms of stability, adaptability and observability. A Kalman filter can perform optimally only when its dynamic model is correctly defined and the noise statistics for the measurement and process are completely known. It is found that estimated Kalman filter states could be influenced by several factors, including vehicle dynamic variations, filter tuning results, and environment changes, etc., which are difficult to model. Neural networks can map input-output relationships without apriori knowledge about them; hence a proper designed neural network is capable of learning and extracting these complex relationships with enough training. This paper presents a GPS/INS integrated system that combines Kalman filtering and neural network algorithms to improve navigation solutions during GPS outages. An Extended Kalman filter estimates INS measurement errors, plus position, velocity and attitude errors etc. Kalman filter states, and gives precise navigation solutions while GPS signals are available. At the same time, a multi-layer neural network is trained to map the vehicle dynamics with corresponding Kalman filter states, at the same rate of measurement update. After the output of the neural network meets a similarity threshold, it can be used to correct INS measurements when no GPS measurements are available. Selecting suitable inputs and outputs of the neural network is critical for this hybrid method. Detailed analysis unveils that some Kalman filter states are highly correlated with vehicle dynamic variations. The filter states that heavily impact system navigation solutions are selected as the neural network outputs. The principle of this hybrid method and the neural network design are presented. Field test data are processed to evaluate the performance of the proposed method.

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칼륨이온이 치수내 신경활동에 미치는 영향 (EFFECT OF POTASSIUM ION ON INTRADENTAL NERVE ACITIVITY)

  • 손호현;박수정;이광원
    • Restorative Dentistry and Endodontics
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    • 제17권1호
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    • pp.1-9
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    • 1992
  • The intradental nerve activity was recorded from single pulp nerve unit dissected from the inferior alveolar nerve in canine teeth of anesthetized cats. The effects of various test solutions on intradental nerve activity evoked by 4M NaCl applied to the deep dentinal cavities were investigated. 1. Total 15 single pulp nerve units were recorded. Of these 9 were Mi - fibers and 6 were C -fibers. The mean conduction velocity and electrical threshold of $A{\delta}$ - fiber were $6.3{\pm}3.7m/sec$, $1.2{\pm}0.7V$ and those of C - fiber were $1.0{\pm}0.2m/sec$, $2.3{\pm}1.3V$, respectively. The response to cold stimuli of $A{\delta}$ - fiber began immediately and that of C - fiber began after a latency. 2. When applied to deep dentinal cavity, 4M NaCl induced irregular bursts of action potential in 4 $A{\delta}$ - fibers and 3 C - fibers, which continued until the solution was washed away. 3. In the $A{\delta}$ - fiber, histamine failed to induce any nerve acitivity and did not produce an increase in intradental nerve activity evoked by 4M NaCl. However following the application of 1M KCl, the response to 4M NaCl was eliminated. 4. In the C - fiber, histamine generated some nerve activity and produced a significant increase in intradental nerve activity evoked by 4M NaCl, but 5M $CaCl_2$ did not abolish this enhandced response.

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유역의 동수역학적 특성을 고려한 직접유출수문곡선 산정 (Calculation of Direct Runoff Hydrograph considering Hydrodynamic Characteristics of a Basin)

  • 최윤호;최용준;김주철;정관수
    • 한국방재학회 논문집
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    • 제11권3호
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    • pp.157-163
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    • 2011
  • 본 연구에서는 대상유역을 지표면과 하천 격자로 분할한 후, Manning 식을 기반으로 각 격자 중심에서 유역 출구점까지의 유하시간을 계산하여 등시간별 체적유량을 산정하였으며, 이로부터 유역의 동수역학적 특성인 특성유속을 고려한 직접유출수문 곡선을 도출하였다. 대상유역은 보청천유역의 산성유역을 선정하였다. 대상유역에 대한 매개변수 산정 결과 흐름누적값은 3800, K는 3.3으로 결정되었다. 보정된 매개변수를 실제사상에 대해 적용하여 검증한 결과 첨두유량과 첨두시간의 평균 절대오차는 각각 3.41%, 0.67 hr로 비교적 양호한 모의결과를 나타냈다. 또한 유효우량에 따른 유하시간별 기여면적 주상도를 분석한 결과 본 연구에서 적용된 모형은 강우강도에 따른 유역의 수리학적 특성을 잘 표현하고 있음을 알 수 있었다.