Generalized Computational Experiment State Analysis Using Three-Dimensional Visual Maps
Alena Alexandrovna Zakharova, D.A. Korostelyov, Александр Подвесовский, Alexander Evgenyevich Bondarev, Vladimir Alexandrovich Galaktionov · Scientific Visualization · 2022
The paper continues a series of publications of the authors' research materials in the field of developing an approach to dynamic planning and control of a generalized computational experiment based on visualization methods and visual analytics.A generalized computational experiment involves multiple solution of a numerical simulation problem for different sets of values of model defining parameters, which makes it possible to obtain a solution immediately for a certain class of mathematical modeling problems specified in a multidimensional parameter space.The paper considers an extension of the existing authors' approach to analysis of a generalized computational experiment state using visual maps, based on visualization metaphors that can display not only individual images but also their relationships.A method is proposed for constructing visual maps of a generalized computational experiment focused on visualizing relationships between single computational experiments in three-dimensional space.The method is based on the mechanism of formalization of the relationships between single computational experiments, as well as the concept of a graph model visualization metaphor that defines a visual map prototype.A description is given of a software system for constructing and analyzing three-dimensional visual maps of a generalized computational experiment.The paper also considers examples of its application in estimating the accuracy of numerical models of the OpenFOAM software platform for a three-dimensional problem of inviscid flow around a cone.