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Definition of Season in Animal Model Evaluation of NiIi-Ravi Buffaloes

  • Khan, M.S.;Bhatti, S.A.;Asghar, A.A.;Chaudhary, M.A.;Bilal, M.Q.
    • Asian-Australasian Journal of Animal Sciences
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    • v.10 no.1
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    • pp.70-74
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    • 1997
  • Data on 2,571 lactation records of Nili-Ravi buffaloes from four institutional herds and four field recording centers were analyzed under an animal model to see the effect of season definition on the error variance of the fitted model. Herd-year-season(HYS) was the main fixed effect along with permanent environment, breeding value and residuals as the random effects. All known relationships among the animals were considered. The error variance differed for various HYS combinations. It was minimum when then months were not grouped into seasons. The four or Five season scenarios were better than the two season scenarios. The average number of lactations represented in a HYS combination varied widely from 6 to 28. Very few subclasses for a given HYS combination warrants the use of fewer seasons for animal model evaluation of buffaloes.

Load carrying capacity of deteriorated reinforced concrete columns

  • Tapan, Mucip;Aboutaha, Riyad S.
    • Computers and Concrete
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    • v.6 no.6
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    • pp.473-490
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    • 2009
  • This paper presents a new methodology to evaluate the load carrying capacity of deteriorated non-slender concrete bridge pier columns by construction of the full P-M interaction diagrams. The proposed method incorporates the actual material properties of deteriorated columns, and accounts for amount of corrosion and exposed corroded bar length, concrete loss, loss of concrete confinement and strength due to stirrup deterioration, bond failure, and type of stresses in the corroded reinforcement. The developed structural model and the damaged material models are integrated in a spreadsheet for evaluating the load carrying capacity for different deterioration stages and/or corrosion amounts. Available experimental and analytical data for the effects of corrosion on short columns subject to axial loads combined with moments (eccentricity induced) are used to verify the accuracy of proposed model. It was observed that, for the limited available experimental data, the proposed model is conservative and is capable of predicting the load carrying capacity of deteriorated reinforced concrete columns with reasonable accuracy. The proposed analytical method will improve the understanding of effects of deterioration on structural members, and allow engineers to qualitatively assess load carrying capacity of deteriorated reinforced concrete bridge pier columns.

Sensitivity Analysis of Bed Changes for Different Sediment Transport Formulas Using the HEC-6 Model - The Lower Nakdong River (HEC-6 모형을 이용한 유사량 공식에 따른 하상변동 민감도 분석 - 낙동강 하류를 대상으로)

  • Jeong, Won-Jun;Ji, Un;Yeo, Woon-Kwang
    • Journal of Environmental Science International
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    • v.19 no.10
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    • pp.1219-1227
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    • 2010
  • In this study, the sensitivity analysis of bed changes due to the various sediment transport equations have been conducted for 80 km reach of the Lower Nakdong River using the HEC-6 which is one dimensional numerical model. The bed elevation changes according to the different sediment transport formulas were compared and analyzed quantitatively. As a result of the numerical simulation, the final bed elevation calculated by Engelund and Hansen(1967), Ackers and White(1973), and Yang(1979) formulas was similar to one another in configuration. The bed change simulated by Engelund and Hansen(1967) were greatest among them, for example, 5.5 m deposition and 2.9 m erosion for 100 years. Also, in the case of Toffaleti (1969) equation, the maximum bed deposition of 8.04 m after 100 years was induced at the 73 km location upstream of the Nakdong River Estuary Barrage. Meyer-Peter-M$\ddot{u}$ller(1948) and Wilcock(2001) formulas produced the deposition only at the upstream end and there was little bed change in the downstream area. The unreal bed configuration of continuously up and down pattern was simulated by Laursen(1958) transport equation.

Finite element analysis on the stress of supporting bone by diameters and lengths of dental implant fixture (유한요소법을 이용한 치과 임플란트 고정체의 직경과 길이에 따른 지지골의 응력 분석)

  • Lee, Myung-Kon
    • Journal of Technologic Dentistry
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    • v.38 no.3
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    • pp.151-156
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    • 2016
  • Purpose: The dental implant should be enough to endure chewing load and it's required to have efficient design and use of implant to disperse the stress into bones properly. This study was to evaluate the stress distribution on a supporting bone by lengths and diameters of the implant fixture. Methods: The modeling and analysis of stress distribution was used for the simple molar porcelain crown model by Solidworks as FEM program. It was designed on applying with tightening torque of 20 Ncm of a abutment screw between a cement retained crown abutment and a fixture. The fixtures of experimental model used 10, 13mm by length and 4, 5mm by diameter. A external vertical loading on the two buccal cusps of crown and performed finite element analysis by 100 N. Results: The maximum von Mises stress(VMS) of all supporting bone models by fixture length and diameter were concentrated on the upper side of supporting compact bone. The maximum stress of each model under vertical load were 164.9 MPa of M410 model, and 141.2 MPa of M413 model, 54.3 MPa of M510 model, 53.6 MPa of M513 model. Conclusion: The stress reduction was increase of fixture's diameter than it's length. So it's effective to use the wider fixture as possible to the conditions of supporting bone.

Material Budgets in the Youngsan River Estuary with Simple Box Model (영산강 하구해역에서의 단순 박스모델에 의한 물질수지)

  • Lee, Kyeong-Sig;Jun, Sue-Kyung
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.12 no.4
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    • pp.248-254
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    • 2009
  • Budgets of fresh water, salt, DIP and DIN in the Youngsan river estuary were estimated seasonally in order to clarify the characteristics of material cycling and flux of nutrients with a simple box model. Inflow volumes of freshwater into system was approximately $36.481{\times}10^6{\sim}663.634{\times}10^6m^3/month$ and existing water mass of freshwater in system calculated by salt budget was approximately $2.515{\times}10^6{\sim}5.812{\times}10^6m^3$. Mean residence time of freshwater was calculated to be about 0.26~2.03 day. water exchange $1,248{\times}10^6{\sim}9,489{\times}10^6m^3/month$ assumed with salinity between estuary and adjacent ocean. Inflow mass of DIN and DIN were approximately 76.63~1,149.91 ton/month and 2.91~61.22 ton/month, respectively. Residence times of DIP and DIN were calculated to be 0.45~1.10 day and 0.28~1.92 day, respectively. The ratio of water residence time versus DIP, DIN residence time was calculated that freshwater residence time was longer than DIP, DIN residence time except for summer season. Thus, We assume that circulation of Nutrients in the system will happen rapidly except for summer season. Specially DIP in Winter could assume to outer input source existence because of seawater inflow in system and high DIP concentration in open sea.

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Performance Prediction and Analysis of a MEMS Solid Propellant Thruster (MEMS 고체 추진제 추력기의 성능예측 및 분석)

  • Jung, Juyeong;Lee, Jongkwang
    • Journal of the Korean Society of Propulsion Engineers
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    • v.21 no.6
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    • pp.1-7
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    • 2017
  • The performance of a MEMS solid propellant thruster was predicted and analyzed through internal ballistics model and CFD analysis. The nozzle throat was $416{\mu}m$, and the area ratio of the nozzle was 1.85. As a result of the internal ballistics model, chamber pressure increased up to 197 bar and the maximum thrust was 3,836 mN. In CFD analysis, the chamber pressure of the internal ballistics model was applied as the operating pressure, and the CFD model was divided into an adiabatic and a heat loss model. As a result, the maximum thrust of the adiabatic model was 14.92% lower than that of the internal ballistics model, and the effect of heat loss was insignificant.

Growth factors and promotion strategies of CJ E&M: Focusing on the diamond model analysis and 4P (CJ E&M의 성장성 요인과 촉진전략: 다이아모델 분석과 4P를 중심으로)

  • Kim, JeongYeon;Park, SangHyeon
    • Industry Promotion Research
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    • v.6 no.4
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    • pp.11-21
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    • 2021
  • This study tried to analyze the factors of corporate growth potential of CJ E&M, a representative company in the content industry. First, in order to analyze CJ E&M's growth Engine, Michael Porter's diamond model was used to review key factors, and then, based on the 4P model, directions for future corporate growth were suggested. As a Result, Factors behind corporate growth included "Media content of various genres" and "recruitment of star-class human resources", in terms of Production Conditions, and "Gratification Chinese market demand" in terms of Demand Conditions. In addition, "Korean wave industry aiming at K-Culture" in terms of Related Industry and "Two track strategy: global·glocal strategy" and "Media commerce strategy" in terms of business environment: strategy, structure, and competition was able to analyze. For the direction of development, there are "various products through collaboration of affiliated companies" in terms of Product and "TVING Benchmarked Netflix" in terms of Price. In addition, "global expansion through OTT platform TVING" in terms of place and "challenge marketing utilizing the Tiktok platform" in terms of promotion must be carried out.

Modification of DC Flashover Voltage at High Altitude on the Basis of Molecular Gas Dynamics

  • Liu, Dong-Ming;Guo, Fu-Sheng;Sima, Wen-Xia
    • Journal of Electrical Engineering and Technology
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    • v.10 no.2
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    • pp.625-633
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    • 2015
  • The effect of altitude on thermal conduction, surface temperature, and thermal radiation of partial arc was investigated on the basis of molecular gas dynamics to facilitate a deep understanding of the pollution surface discharge mechanism. The DC flashover model was consequently modified at high altitude. The validity of the modified DC flashover model proposed in this paper was proven through a comparison with the results of high-altitude simulation experiments and earlier models. Moreover, the modified model was found to be better than the earlier modified models in terms of forecasting the flashover voltage. Findings indicated that both the thermal conduction coefficient and the surface thermodynamics temperature of partial arc had a linear decrease tendency with the altitude increasing from 0 m to 3000 m, both of which dropped by approximately 30% and 3.6%, respectively. Meanwhile, the heat conduction and the heat radiation of partial arc both had a similar linear decrease of approximately 15%. The maximum error of DC pollution flashover voltage between the calculation value according to the modified model and the experimental value was within 6.6%, and the pollution flashover voltage exhibited a parabola downtrend with increasing of pollution.

Application of an Artificial Neural Network Model to Obtain Constitutive Equation Parameters of Materials in High Speed Forming Process (고속 성형 공정에서 재료의 구성 방정식 파라메터 획득을 위한 인공신경망 모델의 적용)

  • Woo, M.A.;Lee, S.M.;Lee, K.H.;Song, W.J.;Kim, J.
    • Transactions of Materials Processing
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    • v.27 no.6
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    • pp.331-338
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    • 2018
  • Electrohydraulic forming (EHF) process is a high speed forming process that utilizes the electric energy discharge in fluid-filled chamber to deform a sheet material. This process is completed in a very short time of less than 1ms. Therefore, finite element analysis is essential to observe the deformation mechanism of the material in detail. In addition, to perform the numerical simulation of EHF, the material properties obtained from the high-speed status, not quasi static conditions, should be applied. In this study, to obtain the parameters in the constitutive equation of Al 6061-T6 at high strain rate condition, a surrogate model using an artificial neural network (ANN) technique was employed. Using the results of the numerical simulation with free-bulging die in LS-DYNA, the surrogate model was constructed by ANN technique. By comparing the z-displacement with respect to the x-axis position in the experiment with the z-displacement in the ANN model, the parameters for the smallest error are obtained. Finally, the acquired parameters were validated by comparing the results of the finite element analysis, the ANN model and the experiment.

Extrapolation of wind pressure for low-rise buildings at different scales using few-shot learning

  • Yanmo Weng;Stephanie G. Paal
    • Wind and Structures
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    • v.36 no.6
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    • pp.367-377
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    • 2023
  • This study proposes a few-shot learning model for extrapolating the wind pressure of scaled experiments to full-scale measurements. The proposed ML model can use scaled experimental data and a few full-scale tests to accurately predict the remaining full-scale data points (for new specimens). This model focuses on extrapolating the prediction to different scales while existing approaches are not capable of accurately extrapolating from scaled data to full-scale data in the wind engineering domain. Also, the scaling issue observed in wind tunnel tests can be partially resolved via the proposed approach. The proposed model obtained a low mean-squared error and a high coefficient of determination for the mean and standard deviation wind pressure coefficients of the full-scale dataset. A parametric study is carried out to investigate the influence of the number of selected shots. This technique is the first of its kind as it is the first time an ML model has been used in the wind engineering field to deal with extrapolation in wind performance prediction. With the advantages of the few-shot learning model, physical wind tunnel experiments can be reduced to a great extent. The few-shot learning model yields a robust, efficient, and accurate alternative to extrapolating the prediction performance of structures from various model scales to full-scale.