• Title/Summary/Keyword: result predictions

검색결과 399건 처리시간 0.406초

Operating Characteristics of Actuator System for Automatic Door Operated by Temperature Detecting Sensor (온도 감지 센서가 구비된 도어 자동 개폐기 구동용 액추에이터 시스템의 동작 특성 해석)

  • Kim Y. H.;Son W. T.
    • Proceedings of the KIEE Conference
    • /
    • 대한전기학회 2004년도 하계학술대회 논문집 B
    • /
    • pp.815-817
    • /
    • 2004
  • This paper deals with the characteristics analysis and experiments of operating actuator for automatic door operated by fire detecting sensor. The dynamic characteristics of operating actuator system are analyzed on the structure of the operating actuator model. Simulation and experimental result have been performed for the verification of the proposed system and dynamic characteristics applied to a actuator by electromechanical energy conversion theory. The experimental result have been compared with proposed theoretical predictions. In this experimental result represented the temperature T1 and T2 which remarks T1 is a circumstance of operating actuator system, and T2 is a fire detecting sensor part.

  • PDF

Effect of a Time Dependent Concrete Modulus of Elasticity on Prestress Losses in Bridge Girders

  • Singh, Brahama P.;Yazdani, Nur;Ramirez, Guillermo
    • International Journal of Concrete Structures and Materials
    • /
    • 제7권3호
    • /
    • pp.183-191
    • /
    • 2013
  • Prestress losses assumed for bridge girder design and deflection analyses are dependent on the concrete modulus of elasticity (MOE). Most design specifications, such as the American Association of State Highways and Transportation Officials (AASHTO) bridge specifications, contain a constant value for the MOE based on the unit weight of concrete and the concrete compressive strength at 28 days. It has been shown in the past that that the concrete MOE varies with the age of concrete. The purpose of this study was to evaluate the effect of a time-dependent and variable MOE on the prestress losses assumed for bridge girder design. For this purpose, three different variable MOE models from the literature were investigated: Dischinger (Der Bauingenieur 47/48(20):563-572, 1939a; Der Bauingenieur 5/6(20):53-63, 1939b; Der Bauingenieur, 21/22(20):286-437, 1939c), American Concrete Institute (ACI) 209 (Tech. Rep. ACI 209R-92, 1992) and CEB-FIP (CEB-FIP Model Code, 2010). A typical bridge layout for the Dallas, Texas, USA, area was assumed herein. A prestressed concrete beam design and analysis program from the Texas Department of Transportation (TxDOT) was utilized to determine the prestress losses. The values of the time dependent MOE and also specific prestress losses from each model were compared. The MOE predictions based on the ACI and the CEB-FIP models were close to each other; in long-term, they approach the constant AASHTO value. Dischinger's model provides for higher MOE values. The elastic shortening and the long term losses from the variable MOE models are lower than that using a constant MOE up to deck casting time. In long term, the variable MOE-based losses approach that from the constant MOE predictions. The Dischinger model would result in more conservative girder design while the ACI and the CEB-FIP models would result in designs more consistent with the AASHTO approach.

A Fundamental Study on Wind Turbine Model of the Wind Power Generation (풍력발전용 모형터빈에 관한 기초적연구)

  • Kim, J.H.;Nam, C.D.;Kim, Y.H.;Lee, Y.H.
    • Proceedings of the KSME Conference
    • /
    • 대한기계학회 2001년도 춘계학술대회논문집D
    • /
    • pp.1014-1019
    • /
    • 2001
  • A numerical investigation was performed to determine the effect of airfoil on the optimum flap height using NACA 00XX and 44XX airfoils. The six flaps which have 0.5% chord height difference were selected. A Navier-Stokes code, FLUENT, was used to calculate the flow field of the airfoil. The code was first tested as a benchmark by modelling flow around a NACA 4412 airfoil. Predictions of local pressure coefficients are found to be in good agreement with the result of the experimental result. For every NACA 00XX and 44XX airfoil, flap heights ranging from 0.0% to 2.5% chord were changed by 0.5% chord interval and their effects were also studied. Representative results from each case are presented graphically and discussed. It is concluded that this initial approach gives an idea for the future development of the wind turbine optimum design.

  • PDF

A Study on Optimizing Zinc-Air Batteries Using M&S (M&S를 이용한 아연-공기전지 최적화 연구)

  • Lee, Jae-In
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • 제17권5호
    • /
    • pp.688-693
    • /
    • 2014
  • Zinc-air batteries which has various merits in the aspect of energy density, power density and price relative to lithium based second batteries were extensively investigated recently. To develope and optimize these zinc-air batteries, the method of M&S is so efficient solution to reduce price and time. Therefore, in this paper, after executing mathematical modeling, I optimized the zinc-air battery through the simulation and make bolt-cell and discharge it to compare with simulation result. As a result, predictions are well agreed with experimental results.

A Basis Study on Optimum Design of Turbine for Wind Power Generation(II) (풍력발전용 터빈의 최적설계에 관한 기초 연구(II))

  • 김정환;김범석;김춘식;김진구;이영호
    • Proceedings of the Korean Society of Marine Engineers Conference
    • /
    • 한국마린엔지니어링학회 2001년도 춘계학술대회 논문집
    • /
    • pp.58-62
    • /
    • 2001
  • A numerical investigation was performed to determine the effect of airfoil on the optimum flap. height using NACA 0006, 0009, 0012, 0015, 0018, 0021 and 0024 airfoils. The six flaps which have 0.5% chord height difference were used. A Navier-Stokes code, FLUENT, was used to calculate the flow field of the airfoil. The code was first tested as a benchmark by modelling flow around a NACA 4412 airfoil. Predictions of local pressure coefficients are found to be in good agreement with the result of the experimental result. For every NACA 00XX airfoil, flap heights ranging from 0.0% to 2.5% chord were changed by 0.5% chord interval and their effects were also studied. Representative results from each case are presented graphically and discussed. It is concluded that this initial approach gives a promise for the future development of wind turbine optimum design.

  • PDF

The Probabilistic Analysis of Fatigue Damage Accumulation Behavior Using Markov Chain Model in CFRP Composites (Markov Chain Model을 이용한 CFRP 복합재료의 피로손상누적거동에 대한 확률적 해석)

  • Kim, Do-Sik;Kim, In-Bai;Kim, Jung-Kyu
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • 제20권4호
    • /
    • pp.1241-1250
    • /
    • 1996
  • The characteristics of fatigue cumulative damage and fatigue life of 8-harness satin woven CFRP composites with a circular hole under constant amplitude and 2-level block loading are estimated by Stochastic Makov chain model. It is found in this study that the fatigue damage accumulation behavior is very random and the fatigue damage is accumulated as two regions under constant amplitude fatigue loading. In constant amplitude fatigue loading the predicted mean number of cycles to a specified damage state by Markov chain model shows a good agreement with the test result. The predicted distribution of the fatigue cumulative damage by Markov chain model is similar to the test result. The fatigue life predictions under 2-level block loading by Markov chain model revised are good fitted to the test result more than by 2-parameter Weibull distribution function using percent failure rule.

A customer credit Prediction Researched to Improve Credit Stability based on Artificial Intelligence

  • MUN, Ji-Hui;JUNG, Sang Woo
    • Korean Journal of Artificial Intelligence
    • /
    • 제9권1호
    • /
    • pp.21-27
    • /
    • 2021
  • In this Paper, Since the 1990s, Korea's credit card industry has steadily developed. As a result, various problems have arisen, such as careless customer information management and loans to low-credit customers. This, in turn, had a high delinquency rate across the card industry and a negative impact on the economy. Therefore, in this paper, based on Azure, we analyze and predict the delinquency and delinquency periods of credit loans according to gender, own car, property, number of children, education level, marital status, and employment status through linear regression analysis and enhanced decision tree algorithm. These predictions can consequently reduce the likelihood of reckless credit lending and issuance of credit cards, reducing the number of bad creditors and reducing the risk of banks. In addition, after classifying and dividing the customer base based on the predicted result, it can be used as a basis for reducing the risk of credit loans by developing a credit product suitable for each customer. The predicted result through Azure showed that when predicting with Linear Regression and Boosted Decision Tree algorithm, the Boosted Decision Tree algorithm made more accurate prediction. In addition, we intend to increase the accuracy of the analysis by assigning a number to each data in the future and predicting again.

Estimation of Corn and Soybean Yields Based on MODIS Data and CASA Model in Iowa and Illinois, USA

  • Na, Sangil;Hong, Sukyoung;Kim, Yihyun;Lee, Kyoungdo
    • Korean Journal of Soil Science and Fertilizer
    • /
    • 제47권2호
    • /
    • pp.92-99
    • /
    • 2014
  • The crop growing conditions make accurate predictions of yield ahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount of crop required to be imported to meet the expected domestic shortfall. Corn and soybean especially are widely cultivated throughout the world and a staple food in many regions of the world. On the other hand, the CASA (Carnegie-Ames-Stanford Approach) model is a process-based model to estimate the land plant NPP (Net Primary Productivity) based on the plant growing mechanism. In this paper, therefore, a methodology for the estimation of corn/soybean yield ahead of harvest time is developed specifically for the growing conditions particular to Iowa and Illinois. The method is based on CASA model using MODIS data, and uses Net Primary Productivity (NPP) to predict corn/soybean yield. As a result, NPP at DOY 217 (in Illinois) and DOY 241 (in Iowa) tend to have high correlation with corn/soybean yields. The corn/soybean yields of Iowa in 2013 was estimated to be 11.24/3.55 ton/ha and Illinois was estimated to be 10.09/3.06 ton/ha. Errors were 6.06/17.58% and -10.64/-7.07%, respectively, compared with the yield forecast of the USDA. Crop yield distributions in 2013 were presented to show spatial variability in the state. This leads to the conclusion that NPP changes in the crop field were well reflected crop yield in this study.

Shear Strength of Concrete Deep Beam Reinforced AFRP rebar (AFRP rebar로 보강된 콘크리트 깊은보의 전단강도)

  • Lee, Young-Hak;Kim, Min-Sook;Cho, Jang-Se;Kim, Hee-Cheul
    • Journal of the Earthquake Engineering Society of Korea
    • /
    • 제13권6호
    • /
    • pp.1-9
    • /
    • 2009
  • This study carried out a shear experiment on concrete deep beam reinforced AFRP to investigate the shear strength of deep beam. The test was conducted on 8 specimens, and the variables were shear span ratio, reinforcement ratio, effective depth, and rebar type. We compared shear strength using ACI 318-08 STM with proposed equations that considered arching action according to shear span ratio. As a result, it was found that shear strength of deep beam reinforced AFRP rebar presented higher shear strength than steel rebar. ACI STM's predictions are more accurate than other predicting equations, and thus this research proposed model versus effective compressive strength of the concrete strut that considered strut size effect based on test results. The predictions obtained using the proposed model are in better agreement than previous equations and codes.

Application of a Two-dimensional Flood Inundation Model based on Quadtree Grid (사면구조 격자 기법에 의한 2차원 홍수범람모형의 적용)

  • Kim, Jong-Ho;Lee, Seung-Oh;Yoon, Kwang-Seok;Cho, Yong-Sik
    • Journal of the Korean Society of Hazard Mitigation
    • /
    • 제8권3호
    • /
    • pp.129-136
    • /
    • 2008
  • All measures to cope with flooding rely on flood predictions to some extent. To investigate these predictions such as maximum water level or inundation area, a numerical model has been developed. The governing equations of the model are the two-dimensional Saint-Venant equations. The governing equations are discretized explicitly by using the leap-frog scheme and upwind scheme based on quadtree grids. The predicted numerical results have been verified by comparing to those of a Thacker problem. As a result of verifications, the present model is not only nearly four times as efficient as uniform grids but also in close agreement with the previous models. Next, the developed model is applied to several flood events in the Uiryeong basin. A general tendency is found that as a frequency is increasing, overall water levels including peak water level are increasing. At only a 500 year frequency, maximum water level is higher than 18.5 m. Therefore, it can be predictable that inundation will be generated in a 500 year frequency.