Automatic Shock Detection, Extraction, and Fitting in Schlieren and Shadowgraph Visualization

Li, Guoshuai; Kontis, Konstantinos; Fan, Zhaolin

doi:10.2514/1.j059667

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…In recent years, CNNs are commonly used for the detection of flow structures [13][14][15][16]. Based on the image edge extraction algorithm, several two-dimensional SWD methods [17][18][19] can obtain effective results by processing the numerical or experimental Schlieren images. In addition, Kanamori and Suzuki [20] derived a method for determining shock waves by using characteristic theory and expanded it to the three-dimensional flow field [21].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Shock Topology Detection Method via Tomographic Reconstruction

et al. 2023

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Shock waves and shock-shock interaction are typical phenomena in supersonic or hypersonic flows that have significant impacts on aerodynamic performance. To obtain a comprehensive understanding of the mechanism of shock wave interaction, shock wave detection (SWD) methods are required. However, it is often challenging for most current SWD methods to identify the relationship between shock waves (also known as shock topology). To address this issue, this paper proposes a novel three-dimensional shock topology detection method based on the tomographic reconstruction strategy. This method involves extracting parallel slices from the flow field, then utilizing a two-dimensional shock topology recognition algorithm to obtain shock lines. Shock bands are obtained by connecting shock lines for every two adjacent slices, and shock surfaces are generated by assembling shock bands. Interaction lines are also formed by connecting interaction points. The detected shock wave is a structure composed of “point-line-band-surface”, and the topology relationship with other shock waves is obvious. Numerical results show that the shock waves detected by the proposed method can be categorized into families. Moreover, the shock surfaces generated by this method are free of gaps, holes, and un-physical fragments, which is an improvement over existing SWD methods.

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