Calculating the ambient dose equivalent of fast neutrons using elemental composition of human body

A. Saeed, Sherif S. Nafee, Salem A. Shaheen, Gehan A. Raouf, Y. Al-Hadeethi, Salahuddin M. Kamal and M.A.N. Razvi

Applied Mathematics and Computation, 2016, vol. 274, issue C, 604-610

Abstract: The sphere of International Commission on Radiation Units and Measurements (ICRU) consists of 4-elemental compositions of 76.2% oxygen (O), 11.1% carbon (C), 10.1% hydrogen (H), and 2.6% nitrogen (N) whereas there are 26 elemental compositions in the human body. In this work, human body elemental composition has been used to calculate the ambient dose equivalent rate of fast neutrons. 241Am–Be of 185 GBq (5 Ci) was utilized as neutron source. In addition, the conversion coefficients in International Commission on Radiological Protection publication 116 (ICRP 116) was used to verify from the results of using elemental compositions in the human body. The calculated results have been compared to those measured by a neutron monitor. The mean values of discrepancies from the measured values were within ∼8%. Moreover, systematic comparisons have been carried out with values published in literature. This work concluded that the elemental compositions in the human body could be used to design a phantom that has the same elemental composition of human body.

Keywords: Dose calculation; Neutron effective dose per fluence; Ambient dose equivalent rate; Human body; 241Am–Be; Fast neutrons (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315015271
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:274:y:2016:i:c:p:604-610

DOI: 10.1016/j.amc.2015.11.037

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().