Method for modeling of substances and mixtures, Newtonian

摘要

Method for modeling Newtonian substances and mixtures. The present invention provides a method to estimate physical properties of constituents of substances and mixtures. Very similar to statistical mechanics, deduced from the distriuiu00e7u00f5es previously known, the values that produce the obervu00e1veis microscopic macroscopic findings.The difference between them is that, in this invention, the distributions are obtained through a system of collisions. That is, for the cases considered "ideal", such as "ideal gas", both methods converge, but for real situations and, in general, more complex, this method offers other variants of the originally regarded by mecu00eanica statistics.From the boundary condition of a given problem, a system of collisions create various scenarios for the problem considered. In each scenario, the random variables of the process are initialized to random shapes. From the same laws of physics, the various initializations will produce different results.From the database containing the different scenarios were created, a process starts from data mining minign) to identify the bias of scenarios is converging to the resulatdor macroscopic observable.The method creates a tree of scenarios and travels up the tree in a structure branch and bound for (s) field (s) of the tree that minimizes the error checking (m) between the leaf of the tree, and the macroscopic parameters perceived. From this positive identification, returns the historical scenarios that best fit the macroscopic parameters perceived.From the retrospective analysis of cases, it will be possible to quantify certain physical characteristics of the substances and mixtures analyzed.