• Title/Summary/Keyword: 발생분포

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Comparisons of the Expected Overtopping Probability along Korean Coast Utilizing by Reliability Analysis (신뢰성 해석에 의한 우리나라 해역별 기대월파확률 특성 비교)

  • Kweon, Hyuck Min;Park, Hyun Suck;Ahn, Kyungmo;Cheon, Se Hyeon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4B
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    • pp.399-404
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    • 2006
  • Kweon et al. (2004) proposed the calculation method of Expected Overtopping Probability (EOP) that considers the occurrence frequency distribution of real sea tide. The method was applied for the comparison of the EOP of Mukho and Busan sea. They showed that the tide occurrence frequency had a great effect on the EOP and the value becomes smaller as the standard deviation of the frequency comes bigger. The present study following Kweon et al.'s method estimates the EOP characteristic of the crest elevation located on East, South, and West sea. The study shows that the EOP becomes smaller following East, South, West sea in order.

Distribution and Changing Trend on the Occurrence of Spring Colds (꽃샘추위의 발생 분포와 변화 경향)

  • Kwon Young-Ah;Kim Jiyoun;Lee Seungho
    • Journal of the Korean Geographical Society
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    • v.40 no.3 s.108
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    • pp.285-295
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    • 2005
  • This paper was examined distribution and changing trends on occurrence days of Spring Cold(cold surge in the flowering season) from the end of February to early in April during 1973-2004. We defined an occurrence day of Spring Colds as above $10\%$ of the anomalies of mean daily temperature or above $10\%$ of the difference of the daily mean temperature between the day before two days. In the west coastal region, the occurrence days of Spring Colds is higher in the end of February and less frequent in the early in April. In the east coastal region, the occurrence days of Spring Colds is higher in the early in April. Spring Colds is closely related with frequencies and a intensities of Siberian High. The occurrence days of Spring Colds has decreased in the most area except Ulleung island and the east coastal region.

Analytical Study on Distribution of Stresses Induced in Soil Beam (지반보의 응력분포에 관한 해석적 연구)

  • Lee, Seung-Hyun;Kim, Eung-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.7
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    • pp.5009-5014
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    • 2015
  • Hydraulic uplift which is caused by the action of pore water pressure can be occurred in clay underlain by granular soil during conducting narrow excavation. Estimation of hydraulic uplift is done by considering soil beam. In order to execute more precise estimation of hydraulic uplift, determination of stress distribution in soil beam is necessary. This study presents stress distribution and displacement distribution in the soil beam based on the theory of elasticity. Stress distribution developed in the soil beam by self weight was derived using stress function depicted by $5^{th}$ order of polynomial and it was seen that vertical stresses along the depth of the soil beam show parabolic distribution and those directions be downward. Regarding soil beam which has the weight of $16kN/m^3, thickness and depth are 1m respectively, maximum vertical stress was about 1.7kPa. Stress distribution by the aciton of pore water pressure was derived via superposition of the stresses corresponding to the self weight and it can be seen that vertical compressive stresses act along the depth of the soil beam when the magnitude of pore water pressure equal to 5 times of the self weight is considered. Equations for prediction of the displacements in the soil beam are also presented.

A Study on the Features of the Velocity Distribution and the Static Pressure Distribution of Oil on a Low-velocity Piston (저속용 피스톤에 가해지는 오일의 속도분포와 정압분포 특성)

  • Park, Hei-Jae;Choi, Jae-Wook;Kim, Sang-Do
    • Korean Chemical Engineering Research
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    • v.48 no.4
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    • pp.450-456
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    • 2010
  • This study was conducted in order to design a piston, part of a shock absorber, and the findings after examining the features of the velocity distribution and the static pressure distribution of oil on a low-velocity piston are as follow. The compression speed of oil passing through an 0.9 mm orifice was 0.0156~0.0642 m/s, and the velocity vector of the velocity distribution and the static pressure distribution had a greater tendency to rotate when the velocity increased. In case of the velocity vector of the velocity distribution and the static pressure distribution with an 0.8mm orifice, the speed changed secondarily, the second pressure-drop was observed and as for the distribution of the streamline around the orifice, a vortex was produced around the center. As for the velocity distribution of oil passing from the compression cylinder to the compact pipe, the velocity was greater in orifice of small diameter. Also, the greater the pressure difference was between the compression cylinder and the compact cylinder, the greater the force it was upon the piston.

Parameters Estimation of Probability Distributions Using Meta-Heuristic Algorithms (Meta-Heuristic Algorithms를 이용한 확률분포의 매개변수 추정)

  • Yoon, Suk-Min;Lee, Tae-Sam;Kang, Myung-Gook;Jeong, Chang-Sam
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.464-464
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    • 2012
  • 수문분야에 있어서 빈도해석의 목적은 특정 재현기간에 대한 발생 가능한 수문량의 규모를 파악하는데 있으며, 빈도해석의 정확도는 적합한 확률분포모형의 선택과 매개변수 추정방법에 의존하게 된다. 일반적으로 각 확률분포모형의 특성을 대표하는 매개변수를 추정하기 위해서는 모멘트 방법, 확률가중 모멘트 방법, 최대우도법 등을 이용하게 된다. 모멘트 방법에 의한 매개변수 추정은 해를 구하기 위한 과정이 단순한 반면, 비대칭형의 왜곡된 분포를 갖는 자료들에 대해서는 부정확한 결과를 나타내게 된다. 확률가중 모멘트 방법은 표본의 크기가 작거나 왜곡된 자료일 경우에도 비교적 안정적인 결과를 제공하는 반면, 확률 가중치가 정수로만 제한되는 단점을 갖고 있다. 그리고 대수 우도함수를 이용하여 매개변수를 추정하게 되는 최우도법은 가장 효율적인 매개변수 추정치를 얻을 수 있는 것으로 알려져 있으나, 비선형 연립방정식으로 표현되는 해를 구하기 위해서는 Newton-Raphson 방법을 사용하는 등 절차가 복잡하며, 때로는 수렴이 되지 않아 해룰 구하지 못하는 경우가 발생되게 된다. 이에 반해, 최근의 Genetic Algorithm, Ant Colony Optimization 및 Simulated Annealing과 같은 Meta-Heuristic Algorithm들은 복잡합 공학적 최적화 문제 있어서 효율적인 대안으로 주목받고 있으며, Hassanzadeh et al.(2011)에 의해 수문학적 빈도해석을 위한 매개변수 추정에 있어서도 그 적용성이 검증된바 있다. 본 연구의 목적은 연 최대강수 자료의 빈도해석에 적용되는 확률분포모형들의 매개변수 추정을 위해 Meta-Heuristic Algorithm을 적용하고자 함에 있다. 따라서 본 연구에서는 매개변수 추정을 위한 방법으로 Genetic Algorithm 및 Harmony Search를 적용하였고, 그 결과를 최우도법에 의한 결과와 비교하였다. GEV 분포를 이용하여 Simulation Test를 수행한 결과 Genetic Algorithm을 이용하여 추정된 매개변수들은 최우도법에 의한 결과들과 비교적 유사한 분포를 나타내었으나 과도한 계산시간이 요구되는 것으로 나타났다. 하지만 Harmony Search를 이용하여 추정된 매개변수들은 최우도법에 의한 결과들과 유사한 분포를 나타내었을 뿐만 아니라 계산시간 또한 매우 짧은 것으로 나타났다. 또한 국내 74개소의 강우관측소 자료와 Gamma, Log-normal, GEV 및 Gumbel 분포를 이용한 실증연구에 있어서도 Harmony Search를 이용한 매개변수 추정은 효율적인 매개 변수 추정치를 제공하는 것으로 나타났다.

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Measurement of the Size Distribution of Smoke Particles with Plastic Types Under Various Fire Conditions (다양한 화재조건에서 플라스틱 종류에 따른 연기입자의 크기분포 변화 측정)

  • Goo, Jaehark;Hwang, Cheol-Hong
    • Fire Science and Engineering
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    • v.31 no.6
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    • pp.8-15
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    • 2017
  • Most fire victims succumb to smoke inhalation, and fire smoke toxicity from interior materials is increasing with increased use of plastics. Large amounts of hazardous effects of smoke are related to deposition of smoke particles in respiratory tracts, and deposition characteristics are influenced by size distribution of particles. Thus, it is essential to know the size distribution of smoke particles from plastics for hazard analysis of fire smoke. In a recent study, it has been shown that size distributions of smoke particles from PP are different from wood in many aspects. In order to know whether other plastics show the same characteristics as PP, size distributions of smoke particles from four plastic materials (LDPE, PA66, PMMA, and PVC) were measured in real time under each fire type with various temperature and oxygen supply. In this study, smoke particles from different plastics were generated uniformly by using steady-state tube furnace method provided in ISO/TS 19700. Their size distributions were measured by using an electrical low pressure impactor (ELPI). Results of measurements showed that size distributions of smoke particles from these four plastic materials were similar to those from PP in many aspects. However, they were distinctively different from those of wood.

A Development of WebGIS System for Industrial waste water Trust Management in Industrial complex (공단지역의 공장폐수 수탁관리를 위한 WebGIS 시스템 구축에 관한 연구)

  • Choi, Byoung-Gil;Kim, Tae-Hoon;Na, Young-Woo
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.377-380
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    • 2008
  • 본 연구의 목적은 인천지역의 공단에서 발생하고 있는 공장폐수의 위탁 및 부탁관리를 위한 WebGIS 시스템을 구축하기 위한 방안에 대하여 연구하는데 있다. WebGIS 시스템은 공단지역의 위탁업체와 수탁업체의 공간정보를 사용자에게 제공하고 공단지역에서 발생되는 공장폐수 위탁량 및 수탁량 분포도를 시민들에게 제공하는 기능을 수행한다. 공장폐수에 대한 정확한 발생량을 관리함으로써 인천지역에서 발생되는 수질오염사고를 사전에 예방하고 오염사고 발생 시 신속한 대처방안을 도출 할 수 있을 것으로 판단된다. WebGIS를 이용한 공장폐수의 위탁량 및 수탁량 분포를 관리함으로써 시민들의 환경오염에 대한 생각을 고취시키고 지속적인 관리가 가능 할 것으로 판단된다.

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A Study of the Characteristics and Mechanism of Giant wave Appearance (대양에서의 거대파랑 출현 특성과 기구에 관한 연구)

  • Shin Seung-Ho;Hong Keyyong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.147-152
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    • 2005
  • 선형파 이론에 의한 파랑스펙트럼 분포에 의해서는 30m 크기의 파랑은 현실적으로 거의 발생 불가능하다고 인식되어 왔다. 그러나 최근의 위성 영상을 이용한 조사에 의해 3주간의 기간 통안 25m 이상의 거대파가 10개 이상 관측됨에 따라 실해역에서 빈번히 마주칠 수 있는 현상임이 입증되었으며 이에 따라 지금까지 이유 불명으로 치부되어 왔던 많은 해양 재난이 거대파에 의해 발생했던 것으로 추정되고 있다. 거대파의 발생원인은 파군 형성과 관련한 파고분포 특성의 변화, 전파하는 파군의 비선형 공명간섭 통이 제기되고 있으나, 그 출현의 복잡성과 자료의 부족 등으로 아직 명확하게 해명되지 못하고 있다. 본 연구에서는 실해역에서 발생하는 거대파의 특성 및 선형 및 비선형이론에 근거한 거대파 발생 기구를 고찰하고 비선형 파랑전파를 모사할 수 있는 수치모형을 개발하였다.

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Modelling Missing Traffic Volume Data using Circular Probability Distribution (순환확률분포를 이용한 교통량 결측자료 보정 모형)

  • Kim, Hyeon-Seok;Im, Gang-Won;Lee, Yeong-In;Nam, Du-Hui
    • Journal of Korean Society of Transportation
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    • v.25 no.4
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    • pp.109-121
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    • 2007
  • In this study, an imputation model using circular probability distribution was developed in order to overcome problems of missing data from a traffic survey. The existing ad-hoc or heuristic, model-based and algorithm-based imputation techniques were reviewed through previous studies, and then their limitations for imputing missing traffic volume data were revealed. The statistical computing language 'R' was employed for model construction, and a mixture of von Mises probability distribution, which is classified as symmetric, and unimodal circular probability were finally fitted on the basis of traffic volume data at survey stations in urban and rural areas, respectively. The circular probability distribution model largely proved to outperform a dummy variable regression model in regards to various evaluation conditions. It turned out that circular probability distribution models depict circularity of hourly volumes well and are very cost-effective and robust to changes in missing mechanisms.