Multi-source irradiance field reconstruction and optimization design based on feature analysis

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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Publication Details

Journal
Applied Optics
Published
2026-02-04
DOI
https://doi.org/10.1364/ao.585760
Primary Topic
Radiative Heat Transfer Studies
Type
article
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article

Multi-source irradiance field reconstruction and optimization design based on feature analysis

Yanbin Li, Kesi Wu, Qiang Chen, shuai jia
Applied Optics
Radiative Heat Transfer Studies
article

Multi-source irradiance field reconstruction and optimization design based on feature analysis

Yanbin Li, Kesi Wu, Qiang Chen, shuai jia
article en

Abstract

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.

Applied OpticsVol. 65(7)
Openalex Percentile: Top 63%
Radiative Heat Transfer Studies
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Multi-source irradiance field reconstruction and optimization design based on feature analysis — Yanbin Li, Kesi Wu, et al. · Applied Optics (2026) | TGRS Research Map | TGRS