Rokhlin’s multiple mixing problem in the class of positive local rank actions

2000 ◽  
Vol 34 (1) ◽  
pp. 73-75 ◽  
Author(s):  
V. V. Ryzhikov
2017 ◽  
Vol 09 (02) ◽  
pp. 1750004 ◽  
Author(s):  
Pawel Rzeszucinski ◽  
Michal Juraszek ◽  
James R. Ottewill

The paper introduces the concept of exploring the potential of Ensemble Empirical Mode Decomposition (EEMD) and Sparsity Measurement (SM) in enhancing the diagnostic information contained in the Time Synchronous Averaging (TSA) method used in the field of gearbox diagnostics. EEMD was created as a natural improvement of the Empirical Mode Decomposition which suffered from a so-called mode mixing problem. SM is heavily used in the field of ultrasound signal processing as a tool for assessing the degree of sparsity of a signal. A novel process of automatically finding the optimal parameters of EEMD is proposed by incorporating a Form Factor parameter, known from the field of electrical engineering. All these elements are combined and applied on a set of vibration data generated on a 2-stage gearbox under healthy and faulty conditions. The results suggest that combining these methods may increase the robustness of the condition monitoring routine, when compared to the standard TSA used alone.


Author(s):  
Ombaki Richard ◽  
Kerongo Joash ◽  
Okwoyo M. James

Pollution of sub-surface water reservoirs mainly rivers and streams through contaminated water point sources (CWPS) was studied. The objective was to formulate a discrete time delay mathematical model which describes the dynamics of reservoir pollution using mixing-problem processes that involve single species contaminants such as nitrates, phosphorous and detergents. The concentration  of pollutants was expressed as a function of the inflow and outflow rates using the principle for the conservation of mass. Systems of ODEs generated from principles of mixing problems were refined into a system of DDEs so that the concentration of pollutant leaving the reservoir at time would be determined at some earlier instant, for the delay. The formulated model is a mathematical discrete time delay model which would be used to describe the dynamics of sub-surface water reservoir pollution. The results from the validation of the model were analyzed   to determine how time delays in the mixing processes affect the rate of particle movement in water reservoirs.


Author(s):  
Oskars Karps ◽  
Aivars Aboltins ◽  
Janis Palabinskis

In Latvia and in the world there are problems with utilization of wood ash from large fireboxes because it is a technologically complicated, time consuming and costly process. The methods used to dispose of the ash when it is deposited in waste landfills are unsustainable. Pollution-increasing solution is needed since pure wood ash is a valuable source of plant nutrients. Ash contains the macro and microelements needed for plants and can replace some of the precious mineral fertilizers in agriculture, especially in organic. Ash use in agriculture is little explored and implemented, the use of the technology is not resolved (ash collection and screening, fractionation, drilling, evaluation, etc.). The LUA studies of ash and slurry mixing problem to prepare ash with mechanized spreaders. Cattle slurry is used as a binder that helps create solid ash fractions that are subject to dispersion with centrifugal fertilizer dispersers with a sufficiently good spreading quality. The research examines the conditions for the creation of different size fractions and their dissolution. The experimental results showed that the best used ratio of the mixtures was 1000 ml of ash and 200 ml of liquid manure or 1000 ml of ash and 300 ml of liquid manure. In this ratio, the produced granule size was very close to the size of mineral fertilizers.


SPE Journal ◽  
2015 ◽  
Vol 20 (03) ◽  
pp. 565-578 ◽  
Author(s):  
Mohsen Rezaveisi ◽  
Russell T. Johns ◽  
Kamy Sepehrnoori

Summary Standard equation-of-state-based phase equilibrium modeling in reservoir simulators involves computationally intensive and time-consuming iterative calculations for stability analysis and flash calculations. Therefore, speeding up stability analysis and flash calculations and improving robustness of the calculations are of utmost importance in compositional reservoir simulation. Prior knowledge of the tie-lines traversed by the solution of a gas-injection problem translates into valuable information with significant implications for speed and robustness of reservoir simulators. The solution of actual-gas-injection processes follows a very complex route because of dispersion, pressure variations, and multidimensional flow. The multiple-mixing-cell (MMC) method, originally developed to calculate minimum miscibility pressure of a gas-injection process, accounts for various levels of mixing of the injected gas and initial oil. This observation suggests that the MMC tie-lines developed upon repeated contacts may represent a significant fraction of the actual simulation tie-lines encountered. We investigate this idea and use three tie-line-based K-value-simulation methods for application of MMC tie-lines in reservoir simulation. In two of the tie-line-based K-value-simulation methods, we examine tabulation and interpolation of MMC tie-lines in a framework similar to the compositional-space adaptive-tabulation (CSAT) method. In the third method, we perform K-value simulations based on inverse-distance interpolation of K-values from MMC tie-lines. We demonstrate that for the displacements examined, the MMC tie-lines are sufficiently close to the actual simulation tie-lines and provide excellent coverage of the simulation compositional route. The MMC-based methods are then compared with the computational time by use of other methods of phase-equilibrium calculations, including a modified application of CSAT (an adaptive tie-line-based K-value simulation), a method using only heuristic techniques, and the standard method in an implicit-pressure/explicit-concentration-type reservoir simulator. The results show that tabulation and interpolation of MMC tie-lines significantly improve phase equilibrium and computational time compared with the standard approach, with acceptable accuracy. The results also show that computational performance of the MMC-based methods with only prior tie-line tables is very close to that of CSAT, which requires flash calculations during simulation. The K-value simulations by use of MMC-based tie-line-interpolation methods improve the total computational time up to 51% in the cases studied, with acceptable accuracy. The results suggest that MMC tie-lines represent a significant fraction of the actual tie-lines during simulation and can be used to significantly improve speed and robustness of phase-equilibrium calculations in reservoir simulators.


1997 ◽  
Vol 409 (1-4) ◽  
pp. 305-312 ◽  
Author(s):  
C.D Froggatt ◽  
M Gibson ◽  
H.B Nielsen

2021 ◽  
Vol 33 (9) ◽  
pp. 093605
Author(s):  
Qimeng Lv ◽  
Yingchun Wu ◽  
Can Li ◽  
Xuecheng Wu

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