AI驱动高速飞行器多学科发展知识图谱分析

doi:10.7527/S1000-6893.2024.30566

Abstract

Abstract:

In recent years， the development of AI technology has provided new solutions and implementation for promoting the multidisciplinary development of hypersonic aircrafts. This article analyzes the research progress， hotspots， and trends of multidisciplinary development of high-speed aircraft systematically， and explores the long-term impact of AI methods. Firstly， software CiteSpace 6.3. R1 and VOSviewer 1.6.20 are used to investigate relevant literatures in the databases of China National Knowledge Infrastructure （CNKI） and Web of Science （WoS） from 2000 to 2024， and a multi-dimensional analysis of the knowledge matrices such as the number of publications， research institutions， and keyword clustering graphs is then conducted. Based on this， the research overview of four hotspots： intelligent prediction of flow field characteristics， model-free adaptive guidance and control， intelligent applications of partial differential equations， and uncertainty multidisciplinary design optimization through knowledge data fusion is introduced. Finally， the new research trends in the development of hypersonic aircraft disciplines driven by AI are summarized， emphasizing existing challenges in this field and drawing the following conclusions： AI integrated with knowledge has become a new technological paradigm for multidisciplinary research on hypersonic aircraft； introduction of deep learning methods has further expanded the theoretical boundaries and application scope of various disciplines of high-speed aircraft， but there is still substantial room for improvement in the establishment and solution of accurate models and experimental applications.

Key words: AI, hypersonic aircraft, multidisciplines, knowledge atlas, CiteSpace, VOSviewer

CLC Number:

Kai AN, Wei HUANG, Zhenguo WANG, Xiaoping XU, Yushan MENG. Knowledge atlas analysis of AI-driven multidisciplinary development of hypersonic aircrafts[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(S1): 730566.

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Knowledge atlas analysis of AI-driven multidisciplinary development of hypersonic aircrafts

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