• 제목/요약/키워드: Prediction equation model

검색결과 854건 처리시간 0.028초

열연 판형상 예측 수식모델 개발 (Mathematical expression for the Prediction of Strip Profile in hot rolling mill)

  • 조영석;황상무
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 춘계학술대회 논문집
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    • pp.70-73
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    • 2004
  • The approach in this thesis is for prediction of deformed strip profile in hot rolling mill. This approach shows how to make an expression as a mathematical form in predicting strip profile. This approach is based on the velocity field, shear stress and material flow on the strip edge along width direction and lateral displacement and stress along width are analytically calculated. Roll force is calculated in each section and then combined together to show roll force distribution along width. All the assumptions to make equation form for this approach are supported by FEM simulation result and the result of model is verified by FEM result. So, this model will supply very useful tool to the researcher and engineers which takes less time and has similar accuracy in predicting roll force profile comparing to FEM simulation. This model has to be combined with deformed roll profile model, which include thermal crown prediction and wear prediction model to predict deformed strip profile.

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간척지 밭작물의 관개용수량 추정을 위한 토양염분예측모형 개발 (Soil Salt Prediction Modeling for the Estimation of Irrigation Water Requirements for Dry Field Crops in Reclaimed Tidelands)

  • 손재권;구자웅;최진규
    • 한국농공학회지
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    • 제36권2호
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    • pp.96-110
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    • 1994
  • The purpose of this study is to develop soil salt prediction model for the estimation of irrigation water requirements for dry field crops in reclaimed tidelands. The simulation model based on water balance equation, salt balance equation, and salt storage equation was developed for daily prediction of sa]t concentration in root zone. The data obtained from field measurement during the growing period of tomato were used to evaluate the applicability of this model. The results of this study are summarized as follows: 1.The optimum irrigation point which maximizes the crop yield in reclaimed tidelands of silt loam soil while maintaining the salt concentration within the tolerance level, ws found to be pF 1.6, and total irrigation requirement after transplanting was 602mm(6.7 mm/day)for tomato. 2.When the irrigation point was pF 1.6, the deviation between predicted and measured salt concentration was less than 4 % at the significance level of 1 7% 3.Since the deviations between predicted and measured values data decrease as the amount of irrigation water increases, the proposed model appear to be more suitable for use in reclaimed tidelands. 4.The amount of irrigation water estimated by the simulation model was 7.2mm/day in the average for cultivating tomato at the optimum irrigation point of pF 1.6.The simulation model proposed in this study can be generalized by applying it to other crops. This, model, also, could be further improved and extended to estimate desalinization effects in reclaimed tidelands by including meteorological effect, capillary phenomenon, and infiltration.

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도메인 조합 기반 단백질-단백질 상호작용 확률 예측 틀 (A Domain Combination-based Probabilistic Framework for Protein-Protein Interaction Prediction)

  • 한동수;서정민;김홍숙;장우혁
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제10권4호
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    • pp.299-308
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    • 2004
  • 최근 단백질 및 도메인과 관련된 방대한 양의 데이타들이 인터넷상에 공표되고 축적됨에 따라, 단백질간의 상호작용에 대한 예측 시스템의 필요성이 제기되고 있다. 본 논문에서는 이러한 데이타를 이용하여 계산적으로 도메인 조합 쌍에 기반하여 단백질의 상호작용 확률을 예측하는 새로운 단백질 상호작용 예측 시스템을 제안한다. 제안된 예측 시스템에서는 기존의 도메인 쌍(domain pair)의 제약성을 극복하기 위하여 도메인 조합(domain combination)과 도메인 조합 쌍(domain combination pair)의 개념이 새롭게 도입하였다. 그리고 도메인 조합 쌍(domain combination pair 또는 dc-pair)을 단백질 상호작용의 기본 단위로 간주하고 예측을 시도한다. 예측 시스템은 크게 예측 준비 과정과 서비스 과정으로 구성되어 있다. 예측 준비 과정에서는 상호작용이 있는 것으로 알려진 단백질 쌍 집합과 상호작용이 없는 것으로 추정되는 단백질 도메인 쌍 집합으로부터 각각 도메인 조합 정보와 그 출현 빈도를 추출한다. 추출된 정보들은 출현 확률 배열(Appearance Probability Matrix 또는 AP matrix)로 불리는 배열 구조에 저장된다. 논문에서는 출현 확률 배열에 기반을 두어, 단백질-단백질 상호작용을 예측하는 확률식 PIP(Primary Interaction Probability)를 고안하고, 고안된 확률식을 이용하여, 상호작용이 있는 것으로 알려진 단백질 쌍 집합과 상호작용이 없는 것으로 추정되는 단백질 도메인 쌍 집합의 확률 값 분포를 생성시킨다. 예측서비스 과정에서는 예측 준비 과정에서 얻어진 분포와 확률식을 이용하여 임의의 단백질 쌍의 상호작용 확률을 계산한다. 예측 모델의 유효성은 효모(yeast)에서 상호작용이 있는 것으로 보고된 단백질 쌍 집합과 상호작용이 없는 것으로 추정되는 단백질 쌍 집합을 이용하여 검증하였다. DIP(Database of Inter-acting Proteins)의 상호작용이 있는 것으로 알려진 효모 단백질 쌍 집합의 80%를 학습 집단으로 사용했을 때, 86%의 sensitivity와 56%의 specificity를 나타내어, 도메인을 기반으로 한 기존의 예측 시스템에 비해서 우월한 예측 정확도를 보여주었다. 이와 같은 예측 정확도의 개선은 본 예측 시스템이 상호작용의 기본 단위로 dc-pair를 채택한 점과 분류를 위하여 새롭게 고안하여 사용한 PIP식이 유효했던 것으로 판단된다.

Prediction of the Salinization in Reclaimed Land by Soil and Groundwater Characteristics

  • Jeon, Jihun;Kim, Donggeun;Kim, Taejin;Kim, Keesung;Jung, Hosup;Son, Younghwan
    • 한국농공학회논문집
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    • 제63권6호
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    • pp.131-140
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    • 2021
  • It is becoming more important to utilize reclaimed lands in South Korea, due to the increasing competition for its usage among different sectors. However, the high groundwater level and poor permeability are exposing them to deterioration by salinization. Salinization is difficult to predict because the pattern changes according to various characteristics of soil and groundwater. In this study, the capillary rising time was studied by the water content profile in the soil. The prediction equation of soil salinity was developed based on simulation result of the CHEMFLO model. to enable prediction considering various soil water content and groundwater level. The two terms constituting the equation showed the coefficients of determination of 0.9816 and 0.9824, respectively. Using the prediction equation of the study, the surface salinity can be easily predicted from the initial surface salinity and the salinity of the groundwater. In the future, more precise predictions will be possible with the results of studies on the hydraulic characteristics of various reclaimed soils, changes in water content profile by seasonal and climate events.

Ground-motion prediction equation for South Korea based on recent earthquake records

  • Jeong, Ki-Hyun;Lee, Han-Seon
    • Earthquakes and Structures
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    • 제15권1호
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    • pp.29-44
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    • 2018
  • A ground-motion prediction equation (GMPE) for the Korean Peninsula, especially for South Korea, is developed based on synthetic ground motions generated using a ground motion model derived from instrumental records from 11 recent earthquakes of $M_L$>4.5 in Korea, including the Gyeongju earthquake of Sept. 12. 2016 ($M_L$5.8). PSAs of one standard deviation from the developed GMPE with $M_W$ 6.5 at hypocentral distances of 15 km and 25 km are compared to the design spectrum (soil condition, $S_B$) of the Korean Building Code 2016 (KBC), indicating that: (1) PSAs at short periods around 0.2 sec can be 1.5 times larger than the corresponding KBC PSA, and (2) SD's at periods longer than 2 sec do not exceed 8 cm. Although this comparison of the design spectrum with those of the GMPE developed herein intends to identify the characteristics of the scenario earthquake in a lower-seismicity region such as South Korea, it does not mean that the current design spectrum should be modified accordingly. To develop a design spectrum compatible with the Korean Peninsula, more systematic research using probabilistic seismic hazard analysis is necessary in the future.

비이상적 상거동을 보이는 이성분계 혼합물의 기액 상평형 추산을 위한 상태방정식과 액체 활동도계수 모델 사이의 비교연구 (A Comparative Study on the Prediction of Vapor-Liquid Equilibria for the Ethanol-Benzene Mixture between Equation of State Model and Liquid Activity Coefficient Model)

  • 조정호;이지환
    • 한국산학기술학회논문지
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    • 제11권5호
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    • pp.1747-1753
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    • 2010
  • 본 연구에서는 최대 공비점 압력을 가지는 에탄올과 벤젠 이성분계 혼합물의 기액 상평형 추산을 위하여 상태방정식 모델식과 액체활동도계수 모델식 사이의 비교 연구를 수행하였다. 상태방정식 모델식으로는 Peng-Robinson (PR) 상태방정식을 이용하였으며, Panagiotopoulos 혼합규칙(PRP)을 적용하였다. 한편, 액체 활동도계수 모델식으로는 Renon이 제안한 NRTL 액체 활동도계수 모델식을 이용하였다. PRP 모델식은 2개의 매개변수를 가짐에도 불구하고 3개의 매개변수를 가지는 NRTL 모델식에 비하여 에탄올-벤젠 이성분계에 대해서 저압 영역에서는 유사한 정확성을 고압 영역에서는 좀 더 정확성이 우수함을 확인하였다.

정사각단면을 갖는 $180^{\circ}$ 곡관내의 2차 모멘트 난류모형에 관한 연구 (Study on the Second Moment Turbulence Model in a Square Sectioned $180^{\circ}$ Bend)

  • 김명호;염성현;최영돈
    • 대한기계학회논문집
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    • 제18권5호
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    • pp.1203-1217
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    • 1994
  • In the present study, in order to analyze a turbulent flow in a square sectiond 180.deg. bend, Kim's low Reynolds number second moment turbulence closure is adopted. In this model, turbulence model constants in the wall region are modified as functions of turbulent Reynolds number by use of near wall turbulent universal properties based on Laufer's experimental results of Reynolds stress distriburions. Algebraic stress model and Reynolds stress equation model are used to verify the low Reynolds number second moment closure. The application of the present low Reynolds number algebraic stress model to the prediction of a square sectioned 180.deg. bend flow gives improved velocities and Reynolds stresses profiles compared with those obtained by using the van Driest mixing length model and present low Reynolds number Reynolds stress equation model.

전단보강근이 없는 철근콘크리트 보의 전단강도 예측 모델식 제안 (Model Equation for Shear Strength of Reinforced Concrete Beams without Web Reinforcement)

  • 김진근;박연동
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1993년도 봄 학술발표회 논문집
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    • pp.124-129
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    • 1993
  • In this study, a simple and accurate model equation for prediction of shear strength of reinforce concrete beams without web, reinforcement is proposed based on basic shear transfer mechanism and modified Bazant's size effect law. The proposed equation includes the effects of concrete strength, longitudinal steel ratio, shear span to depth ratio and effective depth. Comparisons with published experimental data indicate that the proposed equation estimates properly the effects of these factors. Among many equations, ACI code equation, Zsutty's equation and Bazant's equation are selected for comparison. As the result, the accuracy of the proposed equation is better than that of any other equations.

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개방식 장치를 이용한 water+2-propanol계의 인화점 측정 및 예측 (The Measurement and Prediction of the Flash Points for the Water+2-Propanol System Using Open-Cup Apparatus)

  • 하동명;이성진
    • 한국화재소방학회논문지
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    • 제21권2호
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    • pp.48-53
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    • 2007
  • 혼합물의 인화점에 대한 지식은 산업 현장에서 화재화재 예방 및 방호를 위해서 매우 중요하다. 본 연구에서는 water+2-propanol 계의 인화점을 Tag 개방식 장치(ASTM D1310-86)를 이용하여 측정하였다. 실험값은 Raoult의 법칙, Van Laar 모델식과 NRTL 모델식에 의해 계산된 값들과 비교되었다. 그 결과, Van Laar 모델식과 NRTL(non random two liquids) 모델식에 의한 예측값이 Rauolt의 법칙에 의한 예측값 보다 실험값에 더욱 근접하였다. 이는 water+2-propanol 계와 같은 비이상용액의 활동도 계수값을, Van Laar 및 NRTL 모델식이 Raoult의 법칙보다 정확하게 계산하기 때문이다. 또한, Van Laar 모델식의 실험값에 대한 모사성이 NRTL 모델식의 그것 보다 우수하였다.

용접 열영향부 미세조직 및 재질 예측 모델링: V. 저합금강의 초기 오스테나이트 결정립크기 및 냉각 속도의 영향을 고려한 용접 열영향부 상변태 모델 (Prediction Model for the Microstructure and Properties in Weld Heat Affected Zone: V. Prediction Model for the Phase Transformation Considering the Influence of Prior Austenite Grain Size and Cooling Rate in Weld HAZ of Low Alloyed Steel)

  • 김상훈;문준오;이윤기;정홍철;이창희
    • Journal of Welding and Joining
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    • 제28권3호
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    • pp.104-113
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    • 2010
  • In this study, to predict the microstructure in weld HAZ of low alloyed steel, prediction model for the phase transformation considering the influence of prior austenite grain size and cooling rate was developed. For this study, six low alloyed steels were designed and the effect of alloying elements was also investigated. In order to develop the prediction model for ferrite transformation, isothermal ferrite transformation behaviors were analyzed by dilatometer system and 'Avrami equation' which was modified to consider the effect of prior austenite grain size. After that, model for ferrite phase transformation during continuous cooling was proposed based on the isothermal ferrite transformation model through applying the 'Additivity rule'. Also, start temperatures of ferrite transformation were predicted by $A_{r3}$ considering the cooling rate. CCT diagram was calculated through this model, these results were in good agreement with the experimental results. After ferrite transformation, bainite transformation was predicted using Esaka model which corresponded most closely to the experimental results among various models. The start temperatures of bainite transformation were determined using K. J. Lee model. Phase fraction of martensite was obtained according to phase fractions of ferrite and bainite.