• Title/Summary/Keyword: properties prediction

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A Study on the Development of Steel Corrosion Prediction System (철근 부식 예측 시스템의 개발에 관한 연구)

  • 김도겸;박승범;이택우;이종석;이장화
    • Proceedings of the Korea Concrete Institute Conference
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    • 1999.10a
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    • pp.743-746
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    • 1999
  • One of the main deteriorating factors that affect the service life of concrete structures is the corrosion of reinforcement. The chlorides penetrate the concrete, destroy the passive layer surrounding the steel, and help initiate the steel corrosion. A Corrosion Prediction System(CPS) has been developed to assist the engineer in analyzing the service life of existing sea-shore structures and future concrete repairs by calculate the chloride diffusion in concrete. The CPS calculates mixing design, physical properties or recent chloride profiles. The CPS can be used to evaluate changes in concrete cover, chloride loads, and environmental conditions in different structural designs.

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A Reliability Analysis on the Fatigue Life Prediction in Carbon/Epoxy Composite Material (Carbon/Epoxy 복합재료의 피로수명예측에 관한 신뢰성 해석)

  • Jang, Seong-Soo
    • Journal of the Korean Society of Industry Convergence
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    • v.10 no.3
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    • pp.143-147
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    • 2007
  • In recents years, the statistical properties has become an important quantity for reliability based design of a component. The effects of the materials and test conditions for parameter estimation in residual strength degradation model are studied in carbon/epoxy laminate. It is shown that the correlation between the experimental results and the theoretical prediction on the fatigue life distribution using the life distribution convergence method is very reasonable.

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메탄올-물 혼합연료 기관에 관한 연구

  • 김응서;정진은
    • Journal of the korean Society of Automotive Engineers
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    • v.3 no.3
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    • pp.49-57
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    • 1981
  • A cycle simulation of 4 cycle spark ignition engine using methanol-water blend as a fuel has been developed for study of prediction of power, specific fuel consumption, mean effective pressure and thermal efficiency. One-dimensional flow model for intake process and thermodynamic model for combustion process were selected. After, performance test was made with conventional engine which was modified in consideration of fuel properties. And computational results by simulation have been compared with experimental results. As the agreement between computational and experimental results was good, prediction of engine performance by was possible.

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A Split Criterion for Binary Decision Trees

  • Choi, Hyun Jip;Oh, Myong Rok
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.411-423
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    • 2002
  • In this paper, we propose a split criterion for binary decision trees. The proposed criterion selects the optimal split by measuring the prediction success of the candidate splits at a given node. The criterion is shown to have the property of exclusive preference. Examples are given to demonstrate the properties of the criterion.

Digital Hologram Compression Technique using Multi-view Prediction Method (다시점 예측 기법을 이용한 디지털 홀로그램의 압축 기술)

  • Choi, Hyun-Jun;Seo, Young-Ho;Bae, Jin-Woo;Yoo, Ji-Sang;Kim, Dong-Wook
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.413-414
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    • 2006
  • In this paper, we propose an efficient coding method of digital hologram (or fringe pattern) using multi-view prediction technique based on video and image coding standard such as MPEG. The proposed algorithm illustrates that it has better properties for reconstruction and higher compression rate than the previous researches.

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Bootstrap Confidence Intervals for the INAR(p) Process

  • Kim, Hee-Young;Park, You-Sung
    • Communications for Statistical Applications and Methods
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    • v.13 no.2
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    • pp.343-358
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    • 2006
  • The distributional properties of forecasts in an integer-valued time series model have not been discovered yet mainly because of the complexity arising from the binomial thinning operator. We propose two bootstrap methods to obtain nonparametric prediction intervals for an integer-valued autoregressive model : one accommodates the variation of estimating parameters and the other does not. Contrary to the results of the continuous ARMA model, we show that the latter is better than the former in forecasting the future values of the integer-valued autoregressive model.

Vibrational Behavior of Ship Springing and Its Prediction (선박의 Springing 진동 현상과 예측 방법)

  • 이수목;정건화
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.1055-1060
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    • 2001
  • Springing phenomena of ships is introduced with its concept, research history and approach methodology. Being a hydroelasticity problem, non-linear vibration and stochastic process, springing was formulated and modeled in vibration point of view separating hydrodynamic force into system properties and excitation force. Both RAO and response spectrum as well as wave spectrum were presented as a case study of springing analysis for a flexible vessel with wide breadth. The effect of advance speed, heading angle and loading condition were investigated as parametric study. The results and observations showed availability of analysis for the prediction of the ship springing behavior.

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Prediction of Lipophilicity of Orthopramides by Comparative Molecular Field Analysis (CoMFA)

  • 유성은;신영아
    • Bulletin of the Korean Chemical Society
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    • v.16 no.12
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    • pp.1189-1193
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    • 1995
  • The comparative molecular field analysis (CoMFA) method has been employed to correlate the apparent lipophilicity (logkw) and global lipophilicity (logP) for orthopramide derivatives. This study demonstrated that CoMFA is an excellent method in predicting the complex properties of molecules such as apparent lipophilicity (logkw) or lipophilicity (logP). The better predictability of lipophilicity by introducing logkw as an independent descriptor suggests that the HPLC capacity factor measured in a buffer of pH 7.5 (logkw) can be effectively utilized in the prediction of global lipophilicity.

Microstructure Prediction Technology of Ni-Base Superalloy (단조용 니켈기지 초내열합금의 조직예측기술)

  • Yeom, J.T.;Kim, J.H.;Hong, J.K.;Park, N.K.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.10a
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    • pp.89-92
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    • 2009
  • As a class of materials, Ni-base superalloys are among the most difficult metal alloys to forge together with refractory metals and cobalt-base superalloys. The mechanical properties of Ni-base superalloys depend very much on grain size and the strengthening phases, $\gamma$' ($Ni_3$(Al,Ti)-type) and $\gamma$".($Ni_3$Nb-type). Especially, the control of grain size remains as a sole means for the control of mechanical properties. The grain size and distribution changes of the wrought superalloys during hot working and heat treatment are mainly controlled by the recrystallization and grain growth behaviors. In this presentation, prediction technology of grain size through the computer-aided process design, and numerical modeling for predicting the microstructure evolution of Ni-base superalloy during hot working were introduced. Also, some case studies were dealt with actual forming processes of Ni-base superalloys.

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Prediction of effective stiffness on short fiber reinforced composite materials (단섬유 복합재료의 탄성계수 예측)

  • 임태원;한경섭
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.15 no.2
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    • pp.611-617
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    • 1991
  • Effective stiffness of short fiber composite with a three-dimensional random orientation of fibers is derived theoretically and compared with available experimental data. The laminate analogy and transformed laminate analogy are used for modulus prediction of 2-D and 3-D random composites, respectively. The effective stiffness of random oriented fiber composite can be expressed in terms of longitudinal and transverse stiffnesses of unidirectional composites. The result of transformed laminate analogy is more accurate than other approaches such as, Christensen-Waals equational and Lavengood-Goettler equation, etc. Also the effective properties of random oriented fiber composite can be expressed in terms of fiber and matrix properties such as elastic modulus, shear modulus and Poisson's ratio.