Maria Rita Silva Araujo , José Araújo dos Santos Júnior , Zahily Herrero Fernández , Romilton dos Santos Amaral , Jussiê Soares da Rocha , Abel Gámez Rodríguez , Josineide Marques do Nascimento Santos , Marcela Ferreira Marques de Oliveira , Leandro Moreira da Silva , Andrey José Isidoro de Araújo Rodrigues Azevedo , Leorlen Yunier Rojas Mazaira
{"title":"基于CFD模拟的氡评价模型","authors":"Maria Rita Silva Araujo , José Araújo dos Santos Júnior , Zahily Herrero Fernández , Romilton dos Santos Amaral , Jussiê Soares da Rocha , Abel Gámez Rodríguez , Josineide Marques do Nascimento Santos , Marcela Ferreira Marques de Oliveira , Leandro Moreira da Silva , Andrey José Isidoro de Araújo Rodrigues Azevedo , Leorlen Yunier Rojas Mazaira","doi":"10.1016/j.radmeas.2025.107478","DOIUrl":null,"url":null,"abstract":"<div><div>Radiometric studies on the influence of radon and its progeny have been intensified worldwide. Radon emanates from soil, rocks, and building materials, concentrating in enclosed or poorly ventilated areas. Inhaling this gas can harm human health due to its alpha emission and short-lived decay products, which can be deposited in lung tissues. Simulations with Computational Fluid Dynamics (CFD) to study radon distribution in indoor environments is quite advantageous in terms of cost and response time compared to conventional experiments, allowing a better understanding of radon levels dispersed in the air and enabling the estimation of short and long-term individual exposure. The study aimed to determine the behavior of radon in a controlled environment with a high radioactive background, using CFD modeling through Ansys CFX software. The investigation was conducted in the sample storage room of the Radioecology Group, belonging to the Department of Nuclear Energy of the Federal University of Pernambuco. This room was selected due to its high radioactive background, which was caused by the presence of environmental radioactive samples. In the study, a physical-mathematical model was constructed, and a 3D graphic platform was generated, confirming the dispersion of this radionuclide in the sampling environment. The simulation results were compared with those obtained experimentally using the AlphaGUARD detector. As theoretically predicted, the CFD simulation with ANSYS CFX indicated that the areas with the highest radon concentration are close to radioactive sources. It is worth noting that the developed model has a qualitative character, allowing the analysis of the radon dispersion tendency in the environment and identifying regions where the gas accumulates. Although it did not accurately reproduce the absolute concentration values measured experimentally, the model proved adequate to represent the spatial distribution of radon under controlled conditions and is viable for validating behavior.</div></div>","PeriodicalId":21055,"journal":{"name":"Radiation Measurements","volume":"187 ","pages":"Article 107478"},"PeriodicalIF":2.2000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radon assessment model using CFD simulation\",\"authors\":\"Maria Rita Silva Araujo , José Araújo dos Santos Júnior , Zahily Herrero Fernández , Romilton dos Santos Amaral , Jussiê Soares da Rocha , Abel Gámez Rodríguez , Josineide Marques do Nascimento Santos , Marcela Ferreira Marques de Oliveira , Leandro Moreira da Silva , Andrey José Isidoro de Araújo Rodrigues Azevedo , Leorlen Yunier Rojas Mazaira\",\"doi\":\"10.1016/j.radmeas.2025.107478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Radiometric studies on the influence of radon and its progeny have been intensified worldwide. Radon emanates from soil, rocks, and building materials, concentrating in enclosed or poorly ventilated areas. Inhaling this gas can harm human health due to its alpha emission and short-lived decay products, which can be deposited in lung tissues. Simulations with Computational Fluid Dynamics (CFD) to study radon distribution in indoor environments is quite advantageous in terms of cost and response time compared to conventional experiments, allowing a better understanding of radon levels dispersed in the air and enabling the estimation of short and long-term individual exposure. The study aimed to determine the behavior of radon in a controlled environment with a high radioactive background, using CFD modeling through Ansys CFX software. The investigation was conducted in the sample storage room of the Radioecology Group, belonging to the Department of Nuclear Energy of the Federal University of Pernambuco. This room was selected due to its high radioactive background, which was caused by the presence of environmental radioactive samples. In the study, a physical-mathematical model was constructed, and a 3D graphic platform was generated, confirming the dispersion of this radionuclide in the sampling environment. The simulation results were compared with those obtained experimentally using the AlphaGUARD detector. As theoretically predicted, the CFD simulation with ANSYS CFX indicated that the areas with the highest radon concentration are close to radioactive sources. It is worth noting that the developed model has a qualitative character, allowing the analysis of the radon dispersion tendency in the environment and identifying regions where the gas accumulates. Although it did not accurately reproduce the absolute concentration values measured experimentally, the model proved adequate to represent the spatial distribution of radon under controlled conditions and is viable for validating behavior.</div></div>\",\"PeriodicalId\":21055,\"journal\":{\"name\":\"Radiation Measurements\",\"volume\":\"187 \",\"pages\":\"Article 107478\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiation Measurements\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1350448725001076\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUCLEAR SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation Measurements","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1350448725001076","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Radiometric studies on the influence of radon and its progeny have been intensified worldwide. Radon emanates from soil, rocks, and building materials, concentrating in enclosed or poorly ventilated areas. Inhaling this gas can harm human health due to its alpha emission and short-lived decay products, which can be deposited in lung tissues. Simulations with Computational Fluid Dynamics (CFD) to study radon distribution in indoor environments is quite advantageous in terms of cost and response time compared to conventional experiments, allowing a better understanding of radon levels dispersed in the air and enabling the estimation of short and long-term individual exposure. The study aimed to determine the behavior of radon in a controlled environment with a high radioactive background, using CFD modeling through Ansys CFX software. The investigation was conducted in the sample storage room of the Radioecology Group, belonging to the Department of Nuclear Energy of the Federal University of Pernambuco. This room was selected due to its high radioactive background, which was caused by the presence of environmental radioactive samples. In the study, a physical-mathematical model was constructed, and a 3D graphic platform was generated, confirming the dispersion of this radionuclide in the sampling environment. The simulation results were compared with those obtained experimentally using the AlphaGUARD detector. As theoretically predicted, the CFD simulation with ANSYS CFX indicated that the areas with the highest radon concentration are close to radioactive sources. It is worth noting that the developed model has a qualitative character, allowing the analysis of the radon dispersion tendency in the environment and identifying regions where the gas accumulates. Although it did not accurately reproduce the absolute concentration values measured experimentally, the model proved adequate to represent the spatial distribution of radon under controlled conditions and is viable for validating behavior.
期刊介绍:
The journal seeks to publish papers that present advances in the following areas: spontaneous and stimulated luminescence (including scintillating materials, thermoluminescence, and optically stimulated luminescence); electron spin resonance of natural and synthetic materials; the physics, design and performance of radiation measurements (including computational modelling such as electronic transport simulations); the novel basic aspects of radiation measurement in medical physics. Studies of energy-transfer phenomena, track physics and microdosimetry are also of interest to the journal.
Applications relevant to the journal, particularly where they present novel detection techniques, novel analytical approaches or novel materials, include: personal dosimetry (including dosimetric quantities, active/electronic and passive monitoring techniques for photon, neutron and charged-particle exposures); environmental dosimetry (including methodological advances and predictive models related to radon, but generally excluding local survey results of radon where the main aim is to establish the radiation risk to populations); cosmic and high-energy radiation measurements (including dosimetry, space radiation effects, and single event upsets); dosimetry-based archaeological and Quaternary dating; dosimetry-based approaches to thermochronometry; accident and retrospective dosimetry (including activation detectors), and dosimetry and measurements related to medical applications.