中国机械工程2026，Vol.37Issue(5)：1045-1053,9.DOI:10.3969/j.issn.1004-132X.2026.05.004
基于蒙特卡罗减方差方法的图像传感器辐射屏蔽结构多目标优化设计
Radiation Shielding Structure Multi-objective Optimization of Imagine Sensors Based on Monte-Carlo Variance Reduction Method
摘要
Abstract
The radiation simulation method and shielding structure multi-objective optimization design method were proposed based on MC variance reduction for the radiation shielding problems of image sen-sors in nuclear radiation environments.According to the principles of coupled neutron and photon trans-port,a multi radiation source composite shielding model was constructed for image sensors,and a shielding simulation method of characteristic interpolation weight window MC variance reduction was proposed for the thick-shielding micro-detection structure characteristics,effectively improving the computational effi-ciency and accuracy of the shielding simulation.By combining the genetic algorithms with parameterized geometric modeling of radiation shielding structures,a multi-objective optimization design method for im-age sensors was constructed to obtain the optimal solution under volume,mass,and dose rate parameters and obtain a non-dominated solution combination of Pareto front.Numerical experiments verified the effec-tiveness of the imagine sensor radiation shielding structure optimization design method.关键词
图像传感器/辐射屏蔽/多目标优化设计/蒙特卡罗粒子输运/减方差方法Key words
imagine sensor/radiation shielding/multi-objective optimization/Monte-Carlo(MC)particle transport/variance reduction method分类
信息技术与安全科学引用本文复制引用
付昊成,吴少伟,姜潮..基于蒙特卡罗减方差方法的图像传感器辐射屏蔽结构多目标优化设计[J].中国机械工程,2026,37(5):1045-1053,9.基金项目
国家自然科学基金(12402233) （12402233）
国家自然科学基金重点项目(52235005) （52235005）
