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contributor authorTang, Haiyang
contributor authorRen, Jinghao
contributor authorWu, Binrui
contributor authorDang, Jiachen
contributor authorPeng, Bo
contributor authorYi, Xian
contributor authorLiu, Ruidi
date accessioned2026-08-20T21:15:40Z
date available2026-08-20T21:15:40Z
date copyright2026/04/19
date issued2026
identifier otherJAEEEZ.ASENG-6756.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314196
description abstractAbstractAircraft 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’...
publisherAmerican Society of Civil Engineers
titleStructGNN-UNet: Research on Automatic 3D Segmentation of Aircraft Ice Pores Based on Graph Neural Networks
typeJournal Article
journal volume39
journal issue4
journal titleJournal of Aerospace Engineering
identifier doi10.1061/JAEEEZ.ASENG-6756
journal fristpage04026019-1
journal lastpage04026019-16
page16
treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004
contenttypeFulltext


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