Real-Time Identification and Characterization of Asbestos and Concrete Materials With Radioactive Contamination | |
Xu, X. George ; Zhang, X. C. | |
Rensselaer Polytechnic Institute | |
关键词: Terahertz; Diffusion; Gamma Spectroscopy; Ionizing Radiation; Absorption; | |
DOI : 10.2172/793818 RP-ID : DOE/ER/62706 RP-ID : FG07-98ER62706 RP-ID : 793818 |
|
美国|英语 | |
来源: UNT Digital Library | |
![]() |
【 摘 要 】
Concrete and asbestos-containing materials were widely used in DOE building construction in the 1940s and 1950s. Over the years, many of these porous materials have been contaminated with radioactive sources, on and below the surface. To improve current practice in identifying hazardous materials and in characterizing radioactive contamination, an interdisciplinary team from Rensselaer has conducted research in two aspects: (1) to develop terahertz time-domain spectroscopy and imaging system that can be used to analyze environmental samples such as asbestos in the field, and (2) to develop algorithms for characterizing the radioactive contamination depth profiles in real-time in the field using gamma spectroscopy. The basic research focused on the following: (1) mechanism of generating of broadband pulsed radiation in terahertz region, (2) optimal free-space electro-optic sampling for asbestos, (3) absorption and transmission mechanisms of asbestos in THz region, (4) the role of asbestos sample conditions on the temporal and spectral distributions, (5) real-time identification and mapping of asbestos using THz imaging, (7) Monte Carlo modeling of distributed contamination from diffusion of radioactive materials into porous concrete and asbestos materials, (8) development of unfolding algorithms for gamma spectroscopy, and (9) portable and integrated spectroscopy systems for field testing in DOE. Final results of the project show that the combination of these innovative approaches has the potential to bring significant improvement in future risk reduction and cost/time saving in DOE's D and D activities.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
793818.pdf | 794KB | ![]() |