• 제목/요약/키워드: porosity models

검색결과 127건 처리시간 0.023초

MULTI-DIMENSIONAL APPROACHES IN SEVERE ACCIDENT MODELLING AND ANALYSES

  • Fichot, F.;Marchand, O.;Drai, P.;Chatelard, P.;Zabiego, M.;Fleurot, J.
    • Nuclear Engineering and Technology
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    • 제38권8호
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    • pp.733-752
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    • 2006
  • Severe accidents in PWRs are characterized by a continuously changing geometry of the core due to chemical reactions, melting and mechanical failure of the rods and other structures. These local variations of the porosity and other parameters lead to multi-dimensionnal flows and heat transfers. In this paper, a comprehensive set of multi-dimensionnal models describing heat transfers, thermal-hydraulics and melt relocation in a reactor vessel is presented. Those models are suitable for the core description during a severe accident transient. A series of applications at the reactor scale shows the benefits of using such models.

알루미늄 합금의 레이저 가공에서 인장 강도 예측을 위한 회귀 모델 및 신경망 모델의 개발 (Development of Statistical Model and Neural Network Model for Tensile Strength Estimation in Laser Material Processing of Aluminum Alloy)

  • 박영환;이세헌
    • 한국정밀공학회지
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    • 제24권4호
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    • pp.93-101
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    • 2007
  • Aluminum alloy which is one of the light materials has been tried to apply to light weight vehicle body. In order to do that, welding technology is very important. In case of the aluminum laser welding, the strength of welded part is reduced due to porosity, underfill, and magnesium loss. To overcome these problems, laser welding of aluminum with filler wire was suggested. In this study, experiment about laser welding of AA5182 aluminum alloy with AA5356 filler wire was performed according to process parameters such as laser power, welding speed and wire feed rate. The tensile strength was measured to find the weldability of laser welding with filler wire. The models to estimate tensile strength were suggested using three regression models and one neural network model. For regression models, one was the multiple linear regression model, another was the second order polynomial regression model, and the other was the multiple nonlinear regression model. Neural network model with 2 hidden layers which had 5 and 3 nodes respectively was investigated to find the most suitable model for the system. Estimation performance was evaluated for each model using the average error rate. Among the three regression models, the second order polynomial regression model had the best estimation performance. For all models, neural network model has the best estimation performance.

DPF의 PM 포집효율 예측을 위한 다양한 다공성 매질 유동장 모델 해석 (A Detailed Examination of Various Porous Media Flow Models for Collection Efficiency and Pressure Drop of Diesel Particulate Filter)

  • 정승채;윤웅섭
    • 한국자동차공학회논문집
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    • 제15권1호
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    • pp.78-88
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    • 2007
  • In the present study a detailed examination of various porous media models for predicting filtration efficiency and pressure drop of diesel particulate filter (DPF), such as sphere-in-cell and constricted tube models, are attempted. In order for demonstrating their validities of correct estimation on permeability, geometry of property configurations common in commercial cordierite DPFs are correlated to the porous media flow models, and validations of predicted filtration efficiencies due to the use of different unit collectors are made with experiments. The result shows that the porosity, pore size and permeability of cordierite DPF can be successfully correlated by Kuwabara flow field with correction factor of 0.6. The unit collector efficiency predicted by sphere-in-cell model agrees very well with measurements in accumulation mode, whereas that by constricted tube model with significant prediction error.

Optimization of nutrients requirements for bioremediation of spent-engine oil contaminated soils

  • Ogbeh, Gabriel O.;Tsokar, Titus O.;Salifu, Emmanuel
    • Environmental Engineering Research
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    • 제24권3호
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    • pp.484-494
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    • 2019
  • This paper presents a preliminary investigation of the optimum nutrients combination required for bioremediation of spent-engine oil contaminated soil using Box-Behnken-Design. Three levels of cow-manure, poultry-manure and inorganic nitrogen-phosphorus-potassium (NPK) fertilizer were used as independent biostimulants variables; while reduction in total petroleum hydrocarbon (TPH) and total soil porosity (TSP) response as dependent variables were monitored under 6-week incubation. Ex-situ data generated in assessing the degree of biodegradation in the soil were used to develop second-order quadratic regression models for both TPH and TSP. The two models were found to be highly significant and good predictors of the response fate of TPH-removal and TSP-improvement, as indicated by their coefficients of determination: $R^2=0.9982$ and $R^2=1.000$ at $p{\leq}0.05$, respectively. Validation of the models showed that there was no significant difference between the predicted and observed values of TPH-removal and TSP-improvement. Using numerical technique, the optimum values of the biostimulants required to achieve a predicted maximum TPH-removal and TSP-improvement of 67.20 and 53.42%-dry-weight per kg of the contaminated soil were as follows: cow-manure - 125.0 g, poultry-manure - 100.0 g and NPK-fertilizer - 10.5 g. The observed values at this optimum point were 66.92 and 52.65%-dry-weight as TPH-removal and TSP-improvement, respectively.

수직 및 랜덤입사 흡음률에 관한 연구 (Study on Normal and Random incidence Absorption Coefficient)

  • 강현주;김봉기;김상렬
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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    • pp.283-286
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    • 2000
  • 흡음률을 예측 및 평가하기 위한 연구로서 우선 수직입사 흡음률을 예측하는 경험식 모델에 대한 비교 연구를 수행하였다. 비교결과는 Voronina 가 제안한 경험식이 상대적으로 실험치와 잘 일치하고 있다. 한편 수직입사와 랜덤입사와의 상관관계를 실험 연구를 통하여 조사하였다. 이 상관관계는 주파수에 따라서 다르게 나타나고 있다. 저주파수 대역에서는 랜덤 입사가 수직입사 보다 크게 나타나고 있지만 고주파수에서는 수평입사 성분의 영향으로 랜덤입사에서는 감소하는 경향을 보이고 있다.

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연직 슬릿 유공벽의 투수계수 계산 방법의 비교 (Comparison of Methods to Calculate Permeability Parameter of Perforated Wall with Vertical Slits)

  • 서경덕;지창환;김열우
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2008년도 춘계학술대회논문집
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    • pp.506-509
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    • 2008
  • Mathematical models have been developed to calculate hydrodynamic characteristics of perforated-wall structures. Most of the models separate the fluid regions into front and back of the wall, assume the solution in each region, and calculate the solution by using the matching condition at the wall. The matching condition involves the permeability parameter, which can be calculated by the methods proposed by Mei et al. or Sollitt and Cross. In this study, we compare these two methods. The former is advantageous because all the related variables are known, but it gives wrong result in the limit of long waves, i.e. zero transmission and perfect reflection of very long waves. In deep water, the latter predicts smaller transmission and larger reflection than the former, and vice versa in shallow water. In the latter method, the friction coefficient decreases as the wall thickness or the porosity of the wall increases.

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Free vibration analysis of FG nanoplate with poriferous imperfection in hygrothermal environment

  • Karami, Behrouz;Shahsavari, Davood;Janghorban, Maziar;Li, Li
    • Structural Engineering and Mechanics
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    • 제73권2호
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    • pp.191-207
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    • 2020
  • This study aims at investigating the size-dependent free vibration of porous nanoplates when exposed to hygrothermal environment and rested on Kerr foundation. Based on the modified power-law model, material properties of porous functionally graded (FG) nanoplates are supposed to change continuously along the thickness direction. The generalized nonlocal strain gradient elasticity theory incorporating three scale factors (i.e. lower- and higher-order nonlocal parameters, strain gradient length scale parameter), is employed to expand the assumption of second shear deformation theory (SSDT) for considering the small size effect on plates. The governing equations are obtained based on Hamilton's principle and then the equations are solved using an analytical method. The elastic Kerr foundation, as a highly effected foundation type, is adopted to capture the foundation effects. Three different patterns of porosity (namely, even, uneven and logarithmic-uneven porosities) are also considered to fill some gaps of porosity impact. A comparative study is given by using various structural models to show the effect of material composition, porosity distribution, temperature and moisture differences, size dependency and elastic Kerr foundation on the size-dependent free vibration of porous nanoplates. Results show a significant change in higher-order frequencies due to small scale parameters, which could be due to the size effect mechanisms. Furthermore, Porosities inside of the material properties often present a stiffness softening effect on the vibration frequency of FG nanoplates.

울릉분지 시추공 분석 자료를 이용한 가스하이드레이트 함유층의 3차원 공간 물성 분포 추정 (3D Spatial Distribution Modeling for Petrophysical Property of Gas Hydrate-Bearing Sediment using Well Data in Ulleung Basin)

  • 이동건;신효진;임종세
    • 에너지공학
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    • 제22권2호
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    • pp.156-168
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    • 2013
  • 이 연구에서는 2007년, 2010년에 수행한 울릉분지 1, 2차 시추 지역의 시추공(UBGH1-1, UBGH1-4, UBGH1-9, UBGH1-10, UBGH1-14, UBGH2-2-1, UBGH2-2-2, UBGH2-6, UBGH2-9, UBGH2-10, UBGH2-11)에서 취득한 물리검층 및 코어분석 자료로 추정한 가스하이드레이트 함유층 주요 물성 자료를 활용하여 불균질성을 반영할 격자 수준의 3차원 공간 분포 모델링을 수행하였다. 가스하이드레이트 함유층 내 퇴적상의 공간 분포 추정을 위하여 퇴적상 추정 자료를 각 시추공별로 3차원 격자셀에 입력하고 순차지표시뮬레이션으로 3차원 분포를 모델링하였다. 가스하이드레이트 함유층의 공극률과 가스하이드레이트포화율은 퇴적상 분포 모델을 기반으로 순차가우스시뮬레이션을 통해 3차원 공간 물성 분포를 추정하였다.

해면질골에서 다공율, 주파수 및 전파각에 대한 초음파 위상속도의 의존성 연구 (Study on the Dependence of Ultrasonic Phase Velocity on Porosity, Frequency and Propagation Angle in Cancellous Bone)

  • 이강일;김용태;최민주
    • 비파괴검사학회지
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    • 제28권2호
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    • pp.112-118
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    • 2008
  • 본 논문에서는 유체에 포화된 다공성 매질에 적용되는 Biot 모델 및 modified Biot-Attenborough (MBA) 모델을 이용하여 해면질골에서 다공율 및 주파수에 대한 초음파 위상속도의 의존성을 예측하였다. 또한 선행 연구자들에 의하여 사람 및 소의 해면질골에서 측정된 값과 비교하였다. 해면질골에서 위상속도는 다공율 및 주파수가 증가함에 따라 감소하는 것을 알 수 있었다. 또한 전파각 효과를 포함하도록 수정된 Biot 모델 및 MBA 모델뿐만 아니라 Schoenberg 모델을 이용하여 해면질골에서 전파각에 대한 위상속도의 의존성을 예측하였다. 본 논문에서 이용된 이론적인 모델들은 초음파와 해면질골의 상호작용에 대한 물리학적인 이해를 증진시키는데 기여할 뿐만 아니라 골다공증을 진단하기 위하여 유용하게 이용될 수 있을 것으로 기대된다.

An integral quasi-3D computational model for the hygro-thermal wave propagation of imperfect FGM sandwich plates

  • Abdelouahed Tounsi;Saeed I. Tahir;Mohammed A. Al-Osta;Trinh Do-Van;Fouad Bourada;Abdelmoumen Anis Bousahla;Abdeldjebbar Tounsi
    • Computers and Concrete
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    • 제32권1호
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    • pp.61-74
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    • 2023
  • This article investigates the wave propagation analysis of the imperfect functionally graded (FG) sandwich plates based on a novel simple four-variable integral quasi-3D higher-order shear deformation theory (HSDT). The thickness stretching effect is considered in the transverse displacement component. The presented formulation ensures a parabolic variation of the transverse shear stresses with zero-stresses at the top and the bottom surfaces without requiring any shear correction factors. The studied sandwich plates can be used in several sectors as areas of aircraft, construction, naval/marine, aerospace and wind energy systems, the sandwich structure is composed from three layers (two FG face sheets and isotropic core). The material properties in the FG faces sheet are computed according to a modified power law function with considering the porosity which may appear during the manufacturing process in the form of micro-voids in the layer body. The Hamilton principle is utilized to determine the four governing differential equations for wave propagation in FG plates which is reduced in terms of computation time and cost compared to the other conventional quasi-3D models. An eigenvalue equation is formulated for the analytical solution using a generalized displacements' solution form for wave propagation. The effects of porosity, temperature, moisture concentration, core thickness, and the material exponent on the plates' dispersion relations are examined by considering the thickness stretching influence.