StructGNN-UNet: Research on Automatic 3D Segmentation of Aircraft Ice Pores Based on Graph Neural NetworksSource: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004::page 04026019-1Author:Tang, Haiyang
,
Ren, Jinghao
,
Wu, Binrui
,
Dang, Jiachen
,
Peng, Bo
,
Yi, Xian
,
Liu, Ruidi
DOI: 10.1061/JAEEEZ.ASENG-6756Publisher: American Society of Civil Engineers
Abstract: AbstractAircraft icing poses a serious threat to flight safety, and accurately identifying
the three-dimensional (3D) pore structures within dynamic ice is crucial for informing
anti-icing and deicing strategies. Although micro-nano computed tomography (...Practical ApplicationsAircraft icing is a major hazard to flight safety, and understanding the three-dimensional
(3D) pore structures in dynamic ice is key to better anti-icing and deicing. While
micro-nano computed tomography (CT) can take images of ice’...
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| contributor author | Tang, Haiyang | |
| contributor author | Ren, Jinghao | |
| contributor author | Wu, Binrui | |
| contributor author | Dang, Jiachen | |
| contributor author | Peng, Bo | |
| contributor author | Yi, Xian | |
| contributor author | Liu, Ruidi | |
| date accessioned | 2026-08-20T21:15:40Z | |
| date available | 2026-08-20T21:15:40Z | |
| date copyright | 2026/04/19 | |
| date issued | 2026 | |
| identifier other | JAEEEZ.ASENG-6756.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314196 | |
| description abstract | AbstractAircraft icing poses a serious threat to flight safety, and accurately identifying the three-dimensional (3D) pore structures within dynamic ice is crucial for informing anti-icing and deicing strategies. Although micro-nano computed tomography (...Practical ApplicationsAircraft icing is a major hazard to flight safety, and understanding the three-dimensional (3D) pore structures in dynamic ice is key to better anti-icing and deicing. While micro-nano computed tomography (CT) can take images of ice’... | |
| publisher | American Society of Civil Engineers | |
| title | StructGNN-UNet: Research on Automatic 3D Segmentation of Aircraft Ice Pores Based on Graph Neural Networks | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 4 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/JAEEEZ.ASENG-6756 | |
| journal fristpage | 04026019-1 | |
| journal lastpage | 04026019-16 | |
| page | 16 | |
| tree | Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004 | |
| contenttype | Fulltext |