Abstract Borehole breakout initiation, progression, and stabilization are modeled using a semi-analytical method based on Melentiev’s graphical conformal mapping procedure, Kolosov–Muskhelishvili complex stress potentials. The only input data required the elastic moduli of rock, Coulomb strength parameters (cohesion angle internal friction), far-field stresses. stresses around borehole wall com...

Data warehouse systems offer novel techniques and services for data-rich applications both from a data modeling and a data processing point of view. In this paper, we investigate how well state-of-the-art concepts fulfill the requirements of real-world data warehouse applications. Referring to a concrete example from the market research area, key problems with current approaches are identified ...

injection molding is one of the most important and common plastic formation methods. combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...

there are mainly two methods of deep drawing analysis; experimental and analytical/numerical. experimental analysis can be useful in analyzing the process to determine the process parameters that produce a defect free product, and the analytical/numerical modeling can be used to model and analyze the process through all stages of deformation. this approach is less time consuming and more econom...

withdrawal of oil and gas from reservoirs causes a decrease in pore pressure and an increase in effective stress which results to a reservoir compaction. reservoir compaction will result in surface subsidence through the elastic response of the subsurface. usually in order to determine the subsidence above a hydrocarbon field, the reservoir compaction must be first calculated and then the effec...

In modeling internet traffic there have been little attention on skewness. Shifted gamma distribution is a simple traffic model which is long-range dependent and its marginal distribution exhibits specific skewness. Using this model, we give some analytical results on the impact of skewness on the queueing performance such as mean delay and overflow probability. We also investigate the feasibil...