Simulação de fluxo de fluidos em meios porosos desordenados uma análise de efeito de escala na estimativa da permeabilidade e do coeficiente de arrasto

The present study provides a methodology that gives a predictive character the computer simulations based on detailed models of the geometry of a porous medium. We using the software FLUENT to investigate the flow of a viscous Newtonian fluid through a random fractal medium which simplifies a two-dimensional disordered porous medium representing a petroleum reservoir. This fractal model is formed by obstacles of various sizes, whose size distribution function follows a power law where exponent is defined as the fractal dimension of fractionation Dff of the model characterizing the process of fragmentation these obstacles. They are randomly disposed in a rectangular channel. The modeling process incorporates modern concepts, scaling laws, to analyze the influence of heterogeneity found in the fields of the porosity and of the permeability in such a way as to characterize the medium in terms of their fractal properties. This procedure allows numerically analyze the measurements of permeability k and the drag coefficient Cd proposed relationships, like power law, for these properties on various modeling schemes. The purpose of this research is to study the variability provided by these heterogeneities where the velocity field and other details of viscous fluid dynamics are obtained by solving numerically the continuity and Navier-Stokes equations at pore level and observe how the fractal dimension of fractionation of the model can affect their hydrodynamic properties. This study were considered two classes of models, models with constant porosity, MPC, and models with varying porosity, MPV. The results have allowed us to find numerical relationship between the permeability, drag coefficient and the fractal dimension of fractionation of the medium. Based on these numerical results we have proposed scaling relations and algebraic expressions involving the relevant parameters of the phenomenon. In this study analytical equations were determined for Dff depending on the geometrical parameters of the models. We also found a relation between the permeability and the drag coefficient which is inversely proportional to one another. As for the difference in behavior it is most striking in the classes of models MPV. That is, the fact that the porosity vary in these models is an additional factor that plays a significant role in flow analysis. Finally, the results proved satisfactory and consistent, which demonstrates the effectiveness of the referred methodology for all applications analyzed in this study.

Avaliando a robustez e manutenibilidade do comportamento excepcional de aplicações C#

Mainstream programming languages provide built-in exception handling mechanisms to support robust and maintainable implementation of exception handling in software systems. Most of these modern languages, such as C#, Ruby, Python and many others, are often claimed to have more appropriated exception handling mechanisms. They reduce programming constraints on exception handling to favor agile changes in the source code. These languages provide what we call maintenance-driven exception handling mechanisms. It is expected that the adoption of these mechanisms improve software maintainability without hindering software robustness. However, there is still little empirical knowledge about the impact that adopting these mechanisms have on software robustness. This work addresses this gap by conducting an empirical study aimed at understanding the relationship between changes in C# programs and their robustness. In particular, we evaluated how changes in the normal and exceptional code were related to exception handling faults. We applied a change impact analysis and a control flow analysis in 100 versions of 16 C# programs. The results showed that: (i) most of the problems hindering software robustness in those programs are caused by changes in the normal code, (ii) many potential faults were introduced even when improving exception handling in C# code, and (iii) faults are often facilitated by the maintenance-driven flexibility of the exception handling mechanism. Moreover, we present a series of change scenarios that decrease the program robustness

A utilização da informação contábil na atividade pecuária do Estado do Rio Grande do Norte: um enfoque nos demonstrativos gerados para tomada de decisão

This work deals with the cattle raising activity in Brasil, it´s importance for the stete of Rio Grande do Norte. A conceptual review is done regarding accounting information and considering it as an essencial input for economical and finantial decision making, related to the state cattle rainsing environment. It also aims to expose visions related to the role and the importance of Accounting as system that colects, treats and supplies managerial information. A brief historic of Accounting is done, emphasizing the Accounting Demonstration Structure and its use in the decision making process, as well as the contribution it has node for the cattle raising activity in Brazil. The research´s results show that accounting information is used partially in the finantial decision making process, and it is pointed out that the Inventory was the most relevant tool with 95,% of the cases, followed by the Income and Outlay reports with 85.0%,Production with 82,0% and Cost reports with 80,0%, the Demonstrative of the Cash Flow (DFC) with 82.5%, the Patrimonial Balance (PB) with 22.5%, and the Demonstrative of the Exercise Result (DER) with 20.0% of use. The research concludes that Accounting information is not throughly used in the economic and finantial decision making of the managers of cattle raising in the Rio Grande do Norte State, although, 95% of the sample consider then important. This may imply that there are diffilculties in measurement of the managerial decisions as well as the business whole

Avaliação econômica dos incentivos fiscais e financeiros: uma análise das empresas industriais têxteis localizadas no Rio Grande do Norte, no período de 1999 a 2003

This study has as main objective to verify the effect of the tax and financial incentives granted by the brazilian states, specially in the reduction of ICMS on the investment decision of the entities, which in the last years led to the companies to decide new projects in based on the region that presented the better infrastructure beyond lesser tributary expense. For in such was made an economic valuation of the companies with focus in the beneficiary s optics using an adaptation of the Discounted Cash Flow method to measure the impact of the tax incentives in the value of the companies, this study selected the textile industry segment located in the State of Rio Grande do Norte, Brazil. The results indicated that such incentives created addition in the value of the companies, however the inexistence of incentives would not be enough to a negative decision of investment in the Rio Grande do Norte. The smallest difference between the value with and without incentive observed was 8.9%, and the biggest 31.7%, and the average of value aggregation with the tax incentives represented 18.9%