A method for the calculation of multi-layer shielding buildup factors based on extra-trees regression and equivalent iteration

-ray attenuation in the medium has been greatly simplified with the introduction of the concept of buildup factors. However, the determination of buildup factors for multi-layer shielding structures composed of different materials remains a challenging problem. Previous studies have typically extended empirical formulas developed for double-layer shielding to multi-layer structures. In contrast, this paper proposes a method and model, termed ETMLB, for calculating buildup factors in multi-layer shielding based on single-layer and double-layer buildup factor data and the extra-trees (ETs) algorithm. In this approach, two ET regression models, ETZ and ETB, are trained using single-layer and double-layer shielding data, respectively. The ETB model first calculates the buildup factors for double-layer shielding. The double-layer system is then reduced to an equivalent single layer, whose effective atomic number is computed using ETZ. Through successive equivalent iterations, the multi-layer shielding is reduced to an equivalent double-layer system, enabling the computation of its buildup factor. The test results demonstrate that, compared with several commonly used empirical formulas, ETMLB exhibits superior computational accuracy and provides a reliable approach for the calculation of buildup factors in multi-layer shielding.

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Publication Details

Journal
Journal of Radiological Protection
Published
2026-04-13
DOI
https://doi.org/10.1088/1361-6498/ae5e7e
Primary Topic
Radiation Shielding Materials Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A method for the calculation of multi-layer shielding buildup factors based on extra-trees regression and equivalent iteration

Xiaochang Zheng, Jifeng Hu, Zhongkun Liu, Zhitao Chen et al.
Journal of Radiological Protection
Radiation Shielding Materials Analysis
article

A method for the calculation of multi-layer shielding buildup factors based on extra-trees regression and equivalent iteration

Xiaochang Zheng, Jifeng Hu, Zhongkun Liu, Zhitao Chen, Yong-kuo Liu, Nan Chao
article en

Abstract

-ray attenuation in the medium has been greatly simplified with the introduction of the concept of buildup factors. However, the determination of buildup factors for multi-layer shielding structures composed of different materials remains a challenging problem. Previous studies have typically extended empirical formulas developed for double-layer shielding to multi-layer structures. In contrast, this paper proposes a method and model, termed ETMLB, for calculating buildup factors in multi-layer shielding based on single-layer and double-layer buildup factor data and the extra-trees (ETs) algorithm. In this approach, two ET regression models, ETZ and ETB, are trained using single-layer and double-layer shielding data, respectively. The ETB model first calculates the buildup factors for double-layer shielding. The double-layer system is then reduced to an equivalent single layer, whose effective atomic number is computed using ETZ. Through successive equivalent iterations, the multi-layer shielding is reduced to an equivalent double-layer system, enabling the computation of its buildup factor. The test results demonstrate that, compared with several commonly used empirical formulas, ETMLB exhibits superior computational accuracy and provides a reliable approach for the calculation of buildup factors in multi-layer shielding.

Journal of Radiological ProtectionVol. 46(2)
Harbin University of Science and Technology (CN), Harbin University (CN), Harbin Engineering University (CN), Harbin Electric Corporation (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Radiation Shielding Materials Analysis
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A method for the calculation of multi-layer shielding buildup factors based on extra-trees regression and equivalent iteration — Xiaochang Zheng, Jifeng Hu, et al. · Journal of Radiological Protection (2026) | TGRS Research Map | TGRS