航空航天
计算机科学
叠加原理
贝叶斯优化
辐照度
特征(语言学)
参数统计
领域(数学)
全局优化
光学
辐射
适应性
最优化问题
航空航天材料
太阳能
计量学
辐照
多目标优化
高效能源利用
能量(信号处理)
人工智能
航空航天工程
贝叶斯概率
作者
shuai jia,Kesi Wu,Qiang Chen,Yanbin Li
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2026-02-04
卷期号:65 (7): 2141-2141
摘要
Solar radiation environment testing is crucial for verifying the environmental adaptability of aerospace equipment. Traditional single-light-source irradiation systems, due to fixed radiation directions and limited energy distribution, struggle to achieve uniform illumination on complex aerospace structures (such as cabin structure and wings). To address this, this paper proposes a multi-source irradiation field reconstruction and optimization method based on feature analysis and multi-stage Bayesian optimization. First, a parametric model of metal halide lamps is established, and the feasibility of representing multi-source irradiation fields through numerical superposition of single-source fields is verified. Subsequently, a multi-stage Bayesian optimization algorithm is developed, including rough optimization and fine optimization stages. The optimization results show a significant improvement in irradiation uniformity for typical aerospace structures, balancing computational efficiency and providing a reliable solution for solar radiation environment testing of aerospace structures.
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