학술논문
Unsteady Flow Visualization via Physics Based Pathline Exploration
Document Type
Conference
Author
Source
2019 IEEE Visualization Conference (VIS) Visualization Conference (VIS), 2019 IEEE. :286-290 Oct, 2019
Subject
Language
Abstract
This work proposes to analyze the time-dependent characteristics of the physical attributes measured along pathlines derived from unsteady flows, which can be represented as a series of time activity curves (TAC). A new TAC-based unsteady flow visualization and analysis framework is proposed. The center of this framework is a new event-based distance metric (EDM) that compares the similarity of two TACs, from which a new spatio-temporal, hierarchical clustering of pathlines based on their physical attributes and an attribute-based pathline exploration are proposed. These techniques are integrated into a visual analytics system, which has been applied to a number of unsteady flow in 2D and 3D to demonstrate its utility.