Composition optimization strategy based on multiple radiological responses for materials in spatially and temporally varying neutron fields
Nuclear Fusion, ISSN: 1741-4326, Vol: 58, Issue: 12
2018
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Article Description
Structural materials present in and around any fusion device will face stringent conditions due to the high-energy and high-flux neutrons emitted from the fusion plasma. These neutrons can cause induced radioactivity, gas production, energetic knock out atoms, atomic displacement and decay heat in these materials. This would have a significant life-limiting impact on the materials and would also cause biological hazards and radioactive waste. Hence designing low activation materials for fusion devices is warranted. This paper presents a novel tool for quantification of radiological responses in terms of the elements present in the initial material composition. Such a framework would help in the identification and optimization of the fraction of most dangerous elements/isotopes from the material composition. In practical scenarios, the material encounters a large spatial and temporal variation of neutron fluxes. This problem has been effectively treated in the present work using a multi-parameter optimization scheme. The scheme optimizes the material composition (elemental or isotopic) based on various nuclear responses and there spatial and temporal variations within the user-defined constraints. This scheme is further included in the multi-point activation code ACTYS-1-GO. The tool provides a comprehensive picture of the material response during neutron irradiation and after shutdown, enabling the assessment of structural integrity of components in a fusion device. As an aide to the material optimization process, this paper also introduces a visual representation of the evaluated information like quantification of radiological responses produced by the parent elements/isotopes in a material. This has been implemented through a series of spectrum independent and spectrum-dependent diagrams called the radiation response diagrams. These diagrams show the variation of contributing parents toward the radiological responses as a function of cooling time. Such a graph could be very useful as a first approximation for material design.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85056276728&origin=inward; http://dx.doi.org/10.1088/1741-4326/aae399; https://iopscience.iop.org/article/10.1088/1741-4326/aae399; http://iopscience.iop.org/article/10.1088/1741-4326/aae399/pdf; http://stacks.iop.org/0029-5515/58/i=12/a=126019/pdf; http://stacks.iop.org/0029-5515/58/i=12/a=126019?key=crossref.f600b8f2d9ac022ad0996a2c5c5c648c; http://iopscience.iop.org/article/10.1088/1741-4326/aae399; https://dx.doi.org/10.1088/1741-4326/aae399; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=aedb581f-c941-4bc3-ac46-9bcc545b4237&ssb=16408240956&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1741-4326%2Faae399&ssi=6af52538-cnvj-43c9-af88-7b5ee3355dad&ssk=botmanager_support@radware.com&ssm=47020702275487267758204203851137424&ssn=dd1e87ac02ef0b55a56fe693264092064a4b765553ad-d587-4971-8375f4&sso=97f49a66-0a667121c17a92b35ff7779847d3d5f5e1b6c5f32e389f2a&ssp=70449819341734341468173498446496540&ssq=72006611395362385330370207459859794702956&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJ1em14IjoiN2Y5MDAwNTliYWMzNmYtYzI0Mi00MmUwLWI4Y2ItNTMzOGQ0YWJiOGIyOC0xNzM0MzcwMjA3OTY2NTQzNzQ1MjA5LTMwY2I3NDc3NzVhOTNiMjg3NTgwOCIsIl9fdXptZiI6IjdmNjAwMGFhYTA4MDc5LTJiNmYtNDMxZS1hYjBiLWIzNTc0MmVlNzM2ZjE3MzQzNzAyMDc5NjY1NDM3NDUyMDktMjlmNWNmYjVkNWIxOTQwMjc1ODE0IiwicmQiOiJpb3Aub3JnIn0=
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