Amir H. Mohagheghi
Sandia National Laboratories
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Featured researches published by Amir H. Mohagheghi.
Archive | 2017
Adam David Williams; Amir H. Mohagheghi; Brian Cohn; Douglas Osborn; Katherine A. Jones; Mercy DeMenno; Elena Arkadievna Kalinina; Maikael A. Thomas; Ethan Rutledge Parks; Mancel Jordan Parks; Brian A. Jeantete
In response to the expansion of nuclear fuel cycle (NFC) activities—and the associated suite of risks—around the world, this project evaluated systems-based solutions for managing such risk complexity in multimodal and multi-jurisdictional international spent nuclear fuel (SNF) transportation. By better understanding systemic risks in SNF transportation, developing SNF transportation risk assessment frameworks, and evaluating these systems-based risk assessment frameworks, this research illustrated interdependency between safety, security, and safeguards risks is inherent in NFC activities and can go unidentified when each “S” is independently evaluated. Two novel system-theoretic analysis techniques—dynamic probabilistic risk assessment (DPRA) and system-theoretic process analysis (STPA)—provide integrated “3S” analysis to address these interdependencies and the research results suggest a need—and provide a way—to reprioritize United States engagement efforts to reduce global nuclear risks. Lastly, this research identifies areas where Sandia
Other Information: PBD: 1 Jun 2000 | 2000
Amir H. Mohagheghi; Robert Reese; David R. Miller; Mark Laverne Miller; Stephen W Duce
The Department of Defense (DoD) has hundreds of facilities where radioactive materials have been used or are being used, including firing ranges, low-level radioactive waste disposal areas, and areas where past activities have resulted in environmental contamination. Affected sites range in size from a few acres to square miles. Impact to the DoD comes through military base closure and release to the public. It is important that radioactive contaminants are remediated to levels that result in acceptable risk to the public. Remediation requires characterization studies, e.g., sampling and surveys, to define the affected areas, removal actions, and final confirmatory sampling and surveys. Characterization of surface contamination concentrations has historically been performed using extensive soil sampling programs in conjunction with surface radiation surveys conducted with hand-held radiation monitoring equipment. Sampling is required within the suspect affected area and a large buffer area. Surface soil contaminant characterization using soil sampling and hand held monitoring are costly, time consuming, and result in long delays between submission of samples for analysis and obtaining of final results. This project took an existing, proven radiation survey technology that has had limited exposure and improved its capabilities by documenting correlation factors for various detector/radionuclide geometries that commonly occur in field surveys. With this tool, one can perform characterization and final release surveys much more quickly than is currently possible, and have detection limits that are as good as or better than current technology. This paper will discuss the capabilities of a large area plastic scintillation detector used in conjunction with a global positioning system (GPS) to improve site characterization, remediation, and final clearance surveys of the radioactively contaminated site. Survey results can rapidly identify areas that require remediation as well as guide surgical removal of contaminated soil that is above remediation guidelines. Post-remediation surveys can document that final radiological site conditions are within the remedial action limits.
Other Information: PBD: Sep 1996 | 1996
Dann C. Ward; Amir H. Mohagheghi; Ron Burrows
DOE installations possessing sufficient quantities of fissile material to potentially constitute a critical mass, such that the excessive exposure of personnel to radiation from a nuclear accident is possible, are required to provide nuclear accident dosimetry services. This document describes the personal nuclear accident dosimeter (PNAD) used by SNL and prescribes methodologies to initially screen, and to process PNAD results. In addition, this report describes PNAD dosimetry results obtained during the Nuclear Accident Dosimeter Intercomparison Study (NAD23), held during 12-16 June 1995, at Los Alamos National Laboratories. Biases for reported neutron doses ranged from -6% to +36% with an average bias of +12%.
Archive | 1999
Amir H. Mohagheghi; Robert Reese
Archive | 2017
Adam David Williams; Douglas Osborn; Katherine A. Jones; Elena Arkadievna Kalinina; Brian Cohn; Maikael A. Thomas; Mancel Jordan Parks; Ethan Rutledge Parks; Amir H. Mohagheghi
Archive | 2016
Elena Arkadievna Kalinina; Brian Cohn; Douglas Osborn; Jeffrey N Cardoni; Adam David Williams; Mancel Jordan Parks; Katherine A. Jones; Nathan Andrews; Emma Savannah Johnson; Ethan Rutledge Parks; Amir H. Mohagheghi
Archive | 2015
Adam David Williams; Alexander Solodov; David R. Boyle; Amir H. Mohagheghi; Philip A. Beeley; Matthew R. Sternat
Archive | 2015
Robert J. Finch; Amir H. Mohagheghi; Eric Andrew Wallace; Kent L. Biringer; Benjamin Bonin; Michael Yaffe
Archive | 2015
Adam David Williams; Alexander Solodov; David R. Boyle; Amir H. Mohagheghi; Philip A. Beeley
Archive | 2014
Philip A. Beeley; Alexander Solodov; Dave R. Boyle; Adam David Williams; Amir H. Mohagheghi; Robert J. Finch