Results 11 to 20 of about 3,786,299 (268)
A Reduced Model for Salt-Finger Convection in the Small Diffusivity Ratio Limit
Fluids, 2017 A simple model of nonlinear salt-finger convection in two dimensions is derived and studied. The model is valid in the limit of a small solute to heat diffusivity ratio and a large density ratio, which is relevant to both oceanographic and astrophysical ...
Jin-Han Xie +3 more
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Micromachines, 2020 In micro heat exchangers, due to the presence of distributing and collecting manifolds as well as hundreds of parallel microchannels, a complete conjugate heat transfer analysis requires a large amount of computational power.
Danish Rehman +4 more
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Reduced Animal Models Fitting Only Equations for Phenotyped Animals
Frontiers in Genetics, 2021 Reduced models are equivalent models to the full model that enable reduction in the computational demand for solving the problem, here, mixed model equations for estimating breeding values of selection candidates. Since phenotyped animals provide data to
Mohammad Ali Nilforooshan +1 more
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A MODEL TO REDUCE EARTHMOVING IMPACTS
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2020 Meeting increasingly ambitious carbon regulations in the construction industry is particularly challenging for earthmoving operations due to the extensive use of heavy-duty diesel equipment. Better planning of operations and balancing of competing demands linked to environmental concerns, costs, and duration is needed.
Hassanean S.H. Jassim +3 more
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Archives of Civil Engineering, 2018 Sand drifting on road networks in the region of the Lower Algerian Sahara is one of the main problems for the sector. Machines are repeatedly deployed to overcome this phenomenon.
Sebaa A. K., Belhamra M.
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Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
Yuanzineng kexue jishu, 2023 In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
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Applied Sciences, 2018 The pressure gain across a rotating detonation combustor offers an efficiency rise and potential architecture simplification of compact gas turbine engines.
James Braun +2 more
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Reducing uncertainties in climate models [PDF]
Science, 2018 Implementing accurate calculations of radiative forcing can improve climate ...
Soden, Brian J +2 more
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Automated scheme for linearisation points selection in TPWL method applied to non-linear circuits
The Journal of Engineering, 2019 Trajectory piecewise linear (TPWL) approximation is a well-known model order reduction technique for non-linear systems. It involves weighted summation of the dimensionally reduced linear systems obtained at certain points on the system trajectory.
Shifali Kalra, Mashuq-un Nabi
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Reduced models for binocular rivalry [PDF]
Journal of Computational Neuroscience, 2010 Binocular rivalry occurs when two very different images are presented to the two eyes, but a subject perceives only one image at a given time. A number of computational models for binocular rivalry have been proposed; most can be categorised as either "rate" models, containing a small number of variables, or as more biophysically-realistic "spiking ...
Carlo R. Laing +2 more
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