GPR Integrated Mixed-field Imaging Approach for Radiological Characterisation of Decommissioning Nuclear Sites and Facilities

用于退役核场址和设施放射学特征的探地雷达综合混合场成像方法

• 批准号: 1787125
• 金额: --
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1787125
• 关键词: GPR; Integrated; Mixed; field; Imaging

The aim of this project is to use of a recently developed neutron detector, with a data processing electronic system to develop a neutron imager for precise location of neutron-emitting materials in decommissioning facilities. In this project student will use a coded-aperture (mask with array of apertures), where materials (113Cd, W, W-113Cd, W-HDPE), as well as various thicknesses will be considered. Radiation intensity pattern would be projected on the front face of the detector and interactions would be detected by a position-sensitive photomultiplier. The detector output would be connected to the data processing electronic and, is required to programme in order to digitise & stream the intensity pattern to a personal computer. By decoding the digitised pattern using appropriate techniques & programming skills, a neutron image would be able to generate in real-time corresponding to the area investigated. The complete unit would be portable and, expected to be fully automated.

该项目的目的是使用最近开发的中子探测器，并使用数据处理电子系统来开发中子成像仪，以在退役设施中精确地位置中子材料的精确位置。在这个项目中，学生将使用编码孔（带有一系列孔径的掩码），其中材料（113CD，W，W-113CD，W-HDPE）以及各种厚度将被考虑。辐射强度模式将投影在检测器的前面，相互作用将由对位置敏感的光电倍增体检测。检测器输出将连接到数据处理电子，并且需要进行编程以将强度模式数字化和流式传输到个人计算机。通过使用适当的技术和编程技能来解码数字化模式，中子图像可以实时生成与所研究区域相对应的。完整的单元将是便携式的，预计将完全自动化。

项目成果

A Model for Remote Depth Estimation of Buried Radioactive Wastes Using CdZnTe Detector.

• DOI: 10.3390/s18051612
• 发表时间: 2018-05-18
• 期刊: Sensors (Basel, Switzerland)
• 作者: Ukaegbu IK;Gamage KAA
• 通讯作者: Gamage KAA

Nonintrusive Depth Estimation of Buried Radioactive Wastes Using Ground Penetrating Radar and a Gamma Ray Detector

• DOI: 10.3390/rs11020141
• 发表时间: 2019-01-01
• 期刊: REMOTE SENSING
• 影响因子: 5
• 作者: Ukaegbu, Ikechukwu K.;Gamage, Kelum A. A.;Aspinall, Michael D.
• 通讯作者: Aspinall, Michael D.

Parametric Analysis and Bandwidth Optimisation of Hybrid Linear-exponential Tapered Slot Vivaldi Antennas

混合线性-指数锥形槽 Vivaldi 天线的参数分析和带宽优化

• DOI: 10.1049/cp.2017.0279
• 发表时间: 2017
• 作者: Ukaegbu I

A Novel Method for Remote Depth Estimation of Buried Radioactive Contamination.

• DOI: 10.3390/s18020507
• 发表时间: 2018-02-08
• 期刊: Sensors (Basel, Switzerland)
• 作者: Ukaegbu IK;Gamage KAA
• 通讯作者: Gamage KAA

Ground Penetrating Radar as a Contextual Sensor for Multi-Sensor Radiological Characterisation.

• DOI: 10.3390/s17040790
• 发表时间: 2017-04-07
• 期刊: Sensors (Basel, Switzerland)
• 作者: Ukaegbu IK;Gamage KA
• 通讯作者: Gamage KA