The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hajime Mase - One of the best experts on this subject based on the ideXlab platform.
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extended Energy Balance Equation wave model for multidirectional random wave transformation
Ocean Engineering, 2005Co-Authors: Hajime Mase, T S Hedges, Hua Jun LiAbstract:Abstract This study extends an Energy-Balance-Equation wave model (a phase-averaging wave model) for multidirectional random wave transformations to account for wave shoaling, refraction, diffraction, reflection and breaking. Quadratic upstream interpolation for convective kinematics is used in the discretization to reduce numerical diffusion. Predictions using the present wave model are compared with Sommerfeld's solutions for wave transformation through a gap between breakwaters, experimental observations for wave transformation due to a circular shoal, and field measurements for waves behind a breakwater. The results of these comparisons show fairly good agreement.
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multi directional random wave transformation model based on Energy Balance Equation
Coastal Engineering Journal, 2001Co-Authors: Hajime MaseAbstract:The purpose of this paper is to develop a prediction model for multi-directional random wave transformation. The wave prediction model is based on an Energy Balance Equation with an Energy dissipation term and a newly formulated wave diffraction term from a parabolic approximation wave theory; the wave model is stable when solved numerically. The model calculations are carried out for three cases: the first case is the wave tranformation through a gap between two breakwaters and the predictions are compared with the solutions of the Sommerfeld diffraction theory; the second case is the wave deformation due to an elliptic shoal and the predictions are compared with the experimental observations; the third case is the transformation of swells propagating into the Osaka Bay through narrow channels. These model calculations showed that the proposed wave model gives reasonable predictions.
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multi directional random wave transformation model based on Energy Balance Equation
Coastal Engineering Journal, 2001Co-Authors: Hajime MaseAbstract:The purpose of this paper is to develop a prediction model for multi-directional random wave transformation. The wave prediction model is based on an Energy Balance Equation with an Energy dissipat...
Saha S Ray - One of the best experts on this subject based on the ideXlab platform.
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analysis for fin efficiency with temperature dependent thermal conductivity of fractional order Energy Balance Equation using hpst method
alexandria engineering journal, 2016Co-Authors: A Patra, Saha S RayAbstract:Abstract Radiating extended surfaces are usually utilized to enhance the heat transfer between primary surface and the environment. In this paper, temperature distribution, fin efficiency, efficacy of convective straight fins with constant and temperature-dependent thermal conductivity are solved by implementing homotopy perturbation sumudu transform method (HPSTM). The proposed method is very useful and practical for solving the fractional order nonlinear diffusion Equation, which is associated with variable thermal conductivity condition. A dimensionless analytical expression has been developed for fin effectiveness. The fin efficiency and the fin effectiveness have been attained as a function of thermo-geometric fin parameter. It can be noticed that the thermal conductivity parameter has a strong influence over the fin efficiency. The analytical solutions acquired by the present method illustrate the approach is easy to implement and computationally very interesting. The obtained results are compared with previously found classical order results using variational iteration method (VIM), Adomian decomposition method, and the results from Galerkin method in order to show the competence of this present method. HPSTM is a simple and effective method for rapid assessment of physical systems although the fractional order Energy Balance Equations comprise with strong nonlinear terms. The subsequent correlation Equations can benefit thermal design engineers for designing of innovative straight fins with both constant and temperature-dependent thermal conductivity.
Jaihoon Sim - One of the best experts on this subject based on the ideXlab platform.
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an Energy Balance Equation based 0 1 spl mu m mosfet model including velocity overshoot behavior
International Conference on Microelectronics, 1995Co-Authors: Jaihoon SimAbstract:In order to evaluate the velocity overshoot phenomenon in the deep submicron MOS devices, the Energy Balance Equation should be incorporated with the drift-diffusion Equation that includes thermoelectric diffusion. This paper presents an analytical current model for deep submicron MOS devices by solving the Energy Balance Equation. Our model results show good agreement with experimental results. We have successfully derived the drain current model composed of drift and thermoelectric currents.
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an analytical deep submicron mos device model considering velocity overshoot behavior using Energy Balance Equation
IEEE Transactions on Electron Devices, 1995Co-Authors: Jaihoon SimAbstract:In order to evaluate the velocity overshoot phenomenon in the deep submicron MOS devices, the Energy Balance Equation should be incorporated with the drift-diffusion Equation that includes thermoelectric diffusion. This paper presents an analytical current model for deep submicron MOS devices by solving the Energy Balance Equation. Our model results show good agreement with experimental results. We have successfully derived the drain current model composed of drift and thermoelectric currents. >
Hirofumi Tomita - One of the best experts on this subject based on the ideXlab platform.
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analysis of spurious surface temperature at the atmosphere land interface and a new method to solve the surface Energy Balance Equation
Journal of Hydrometeorology, 2009Co-Authors: Hirofumi TomitaAbstract:Abstract Solving the surface Energy Balance Equation is the most important task when combining an atmospheric model and a land surface model. However, while the surface Energy Balance Equation determines the interface temperature between the models, this temperature is often oscillatory and without physical significance. This paper discusses the spurious mode of surface temperature. The Energy Balance Equation is solved by the linearization around the surface temperature in most models. When this conventional scheme is used, oscillation of surface temperature occurs, caused by the exclusion or poor consideration of the surface temperature dependence of the turbulent transfer coefficient at the surface. By more strictly solving the surface Energy Balance Equation, no spurious mode appears. However, it is often difficult to obtain such a solution because the Equation is highly nonlinear. Indeed, the Newton–Raphson method at times cannot find the convergence solution. To overcome this difficulty, a new metho...
Hanbo Yang - One of the best experts on this subject based on the ideXlab platform.
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derivation of the mean annual water Energy Balance Equation basedon an ohms type approach
Hydrology and Earth System Sciences Discussions, 2018Co-Authors: Xu Shan, Hanbo YangAbstract:Abstract. The Budyko hypothesis has been widely used to describe precipitation partitioning at the catchment scale. Many empirical and analytical formulas have been proposed to describe the Budyko hypothesis. Based on dimensional analysis and mathematic reasoning, previous studies have given an analytical derivation, i.e., the Mezentsev-Choudhury-Yang (MCY) Equation. However, few hydrological processes are involved in the derivation. Note that similar to electrical circuits and atmospheric motions, this study tried to give a new derivation of the Budyko hypothesis based on an analogy of the Ohms-type approach and the homogeneity assumption. The derived Equation has the same form as the MCY Equation but has a more physical explanation than the mathematic reasoning proposed in previous studies. In addition, under conditions without the homogeneity constraint, a more general expression is E= P(b+kE)0) [Pn+(b+kE)0)n](1/n) , where E, E0 and P are evaporation, potential evaporation and precipitation, respectively, and n, k and b are constants.
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new analytical derivation of the mean annual water Energy Balance Equation
Water Resources Research, 2008Co-Authors: Hanbo Yang, Dawen Yang, Zhidong Lei, Fubao SunAbstract:[1] The coupled water-Energy Balance on long-term time and catchment scales can be expressed as a set of partial differential Equations, and these are proven to have a general solution as E/P = F(E0/P, c), where c is a parameter. The state-space of (P, E0, E) is a set of curved faces in P − E0 − E three-dimensional space, whose projection into E/P − E0/P two-dimensional space is a Budyko-type curve. The analytical solution to the partial differential Equations has been obtained as E = E0P/(Pn + E0n)1/n (parameter n representing catchment characteristics) using dimensional analysis and mathematic reasoning, which is different from that found in a previous study. This analytical solution is a useful theoretical tool to evaluate the effect of climate and land use changes on the hydrologic cycle. Mathematical comparisons between the two analytical Equations showed that they were approximately equivalent, and their parameters had a perfectly significant linear correlation relationship, while the small difference may be a result of the assumption about derivatives in the previous study.