Nuclear Engineering Commons^™

Methods For Efficient Computation Of Neutron Multiplicity Distributions And Snm Sample Characterization, Jawad Ribhi Moussa

Nuclear Engineering ETDs

This dissertation advances neutron multiplicity counting (NMC) by developing a hierarchy of computational methods that combine deterministic and stochastic techniques with modern machine learning for improved special nuclear material (SNM) characterization. A system state-updating Monte Carlo method is introduced in addition to a dynamic point kinetic model based on a backward Master equation (BME) formulation. These models, along with newly developed distribution reconstruction methods, enable more efficient computation of neutron count distributions in a fixed detector time-gate. NMC limitations associated with finite-size and neutron phase effects are also addressed by extending the BME model to account for time-gated neutron count …

Transfer Learning With Spinally Shared Layers, H. M.Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Transfer-learned models have achieved promising performance in numerous fields. However, high-performing transfer-learned models contain a large number of parameters. In this paper, we propose a transfer learning approach with parameter reduction and potential high performance. Although the high performance depends on the nature of the dataset, we ensure the parameter reduction. In the proposed SpinalNet shared parameters, all intermediate-split-incoming parameters except the first-intermediate-split contain a shared value. Therefore, the SpinalNet shared parameters network contains three parameter groups: (1) first input-split to intermediate-split parameters, (2) shared intermediate-split-incoming parameters, and (3) intermediate-split-to-output-split parameters. The total number of parameters becomes lower than the …

Generation And Implementation Of Mixed Radiation From Laser Interactions On A Liquid Target, Benjamin M. Knight

Theses and Dissertations

The simultaneous generation of different forms of radiation from the same source is highly desirable but technically challenging. We present the generation of D-D fusion neutrons and >MeV-energy x-rays from extreme intensity (∼ 10¹⁹ W/cm² ), high repetition-rate (1 kHz) laser pulses on a thin liquid target. Total neutron fluxes of ∼ 105 neutrons/s and x-ray exposure rates up to ∼ 200 R/hr at 74 cm are measured. Evidence of D-D fusion is verified with a measurement suite including three independent neutron detection systems: an EJ-309 organic scintillator, a ³He proportional counter, and a set of 36 …

Extraction Of Neutron-Gamma Irradiated Diffusion Pump Oils, Cooper L. Tillman

All Theses

This work successfully demonstrates solvent extraction methods for separation of oil from the by-products when two commercially available vacuum pump oils were exposed to an intense neutron and gamma-ray radiation environment. Nuclear fusion power at a commercial scale has accelerated the need for radiation resistant vacuum technology, such as oil-based diffusion pumps. Polyphenyl ether and aromatic silicone oils were irradiated at the Rhode Island Nuclear Science Center (RINSC) up to MGy absorbed doses with neutron and gamma-ray radiation. Solvent extractions were performed using hexane and isopropanol to characterize the oil extraction as a function of total absorbed dose. The by-products …

Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Many regulatory requirements add significant delay in the licensing of new nuclear power stations. One area of particular interest is the environmental impact of potential atmospheric release. The purpose of this research is to demonstrate effectiveness of meteorological data mining and synthesis from offsite locations to reduce need for onsite data, hence allowing rapid licensing. The automated procedures tested for data mining and extraction of meteorological data from multiple offsite sources and the data analytic tool developed for data fusion are presented here. Three important meteorological parameters from regulatory compliance are considered for this analysis: wind velocity, wind direction, and …

Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Many regulatory requirements add significant delay in the licensing of new nuclear power stations. One area of particular interest is the environmental impact of potential atmospheric release. the purpose of this research is to demonstrate effectiveness of meteorological data mining and synthesis from offsite locations to reduce need for onsite data, hence allowing rapid licensing. the automated procedures tested for data mining and extraction of meteorological data from multiple offsite sources and the data analytic tool developed for data fusion are presented here. Three important meteorological parameters from regulatory compliance are considered for this analysis: wind velocity, wind direction, and …

Notes For Contributors, Space And Defense

Space and Defense

No abstract provided.

Waging Peace On The Final Frontier 64th Academy Assembly Proceedings, Space And Defense, Madison Walker

Space and Defense

In October 2022, the 64th annual Academy Assembly at the U.S. Air Force Academy took up the theme of “Waging Peace on the Final Frontier.” The following are proceedings of roundtables held by select undergraduates from around the country on questions of space policy & strategy.

Revitalizing America's Low-Yield Deterrent, Alex Kleitz

Space and Defense

An array of low-yield weapons will play a vital role in integrated deterrence. *The following essay, submitted in June 2022, earned the Junior Division USSTRATCOM General Larry D. Welch Deterrence Writing Award.

The Unified Command Plan For A New Cold War, David Stilwell

Space and Defense

No abstract provided.

Editor's Note, Damon Coletta

Space and Defense

No abstract provided.

Table Of Contents, Space And Defense

Space and Defense

No abstract provided.

Front Matter, Space And Defense

Space and Defense

No abstract provided.

Space And Defense Volume 15 No. 1 Spring 2024 (Whole Issue), Space And Defense

Space and Defense

No abstract provided.

Coupled Monte Carlo And Adjoint Depletion Sensitivity Coefficient Methods, Benjamin R. Murphy

Nuclear Engineering ETDs

Recent advances in adjoint-based, continuous-energy Monte Carlo generalized perturbation theory (GPT) sensitivity coefficients are combined with adjoint-based depletion perturbation theory (DPT) sensitivities to obtain fully coupled depletion sensitivity coefficients in OpenMC. These depletion sensitivity coefficients are compared with direct perturbation results and found to have generally good agreement, though discrepancies exist. Some shortfalls of the DPT method include the inefficient initial numeric integration scheme for calculating the DPT sensitivities and the lack of stochastic uncertainty estimates for the DPT sensitivities. However, despite these shortcomings, the methodology provides the means to obtain high fidelity depletion sensitivity coefficients. With refinements to the …

Thermal Hydraulic Analysis For Different Subchannels Of Generic Vver-1200, Mosaddak Ahamed Zahid, Md. Imam Mehedi, Shamsul Arefin Shibly, A. S. Mollah

International Journal of Nuclear Security

The demand for nuclear energy is steadily increasing all over the world. Most nuclear power is used for peaceful applications such as power generation, healthcare, agriculture, food security, industry, and research. One of the primary applications of nuclear energy is the generation of electricity through nuclear power plants based on nuclear reactors. Many developing countries around the world (such as Bangladesh) are moving toward nuclear power plants because they have huge advantages, including low-cost energy, reliable energy sources, zero carbon emissions, and high energy concentration. As a result, the demand for nuclear reactor protection and operational protection of nuclear power …

Valorization Of Spent Zn-C Battery And Construction And Demolition Waste (Cdw): Fabrication And Characterization Of Geopolymer Composites For Radiation Shielding Applications, Raul Florez, Carlos H. Castano Giraldo, Sandra M. Restrepo-Arcila, Henry A. Colorado

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

There is a Serious Threat of Pollution Due to the High Waste of Energy and Materials Worldwide that Needs to Be Decreased. One Way is to Reduce Waste or Use Them in Secondary Processes. New Eco-Friendly Geopolymer Binders Were Fabricated using Metakaolin, CDW, and Battery Waste (BW) Powders as Starting Materials and a Mixture of Potassium Silicate and Sodium Hydroxide as Activation Solutions. 5 Formulations with BW Powder Replacements Ranging from 5 to 40 Wt% Were Prepared and Subjected to Heat Curing at 80 °C for 24 H. the Effect of Zn-C Battery Waste Content on the Phase Composition, Densification, …

Development And Evaluation Of Muon Scattering Tomography Reconstruction Techniques For Spent Fuel Verification, Jesus J. Valencia

Nuclear Engineering ETDs

The International Atomic Energy Agency has acknowledged the need to “efficiently verify and maintain knowledge of spent fuel in shielding/storage/transport containers at all points in their life cycle”. Cosmic-ray muon scattering tomography has shown potential to create reconstruction images of dry cask contents that would be useful for in-situ verification of spent fuel within dry casks.

In this document, several muon scattering tomography reconstruction techniques are explored using experimental track data through a partially filled dry cask container and steel drum test object. Two three-dimensional reconstruction techniques, a backprojection and newly developed combined depth of field algorithm, are evaluated. The …

Safety Analysis In Ap-1000 Nuclear Power Plant Against Primary Loop Coolant Pump And Fuel Failures, Fabiano Gibson Daud Thulu, Hailemichael Guadie Mengsitu, Chifundo Tenthani, Paul Stone Macheso

International Journal of Nuclear Security

This study focused on the best-estimated thermal-hydraulic calculations performed regarding the AP-1000 nuclear power plant (NPP) under primary coolant loop pump and fuel failures. Primary coolant pump and fuel failure transients are important design-basis accidents in NPP safety assessments. This work examined the primary reactor’s safety margins of fuel and cladding peak temperature, primary and secondary loop pressure, hydrogen formation, and primary and secondary flow rates.The Adaptive System Thermal-Hydraulics program was used in the simulation and event progression analysis. The results showed that the peak fuel surface temperature was kept below the licensing design limit. No observation of corium was …

Modeling And Analysis Of Neutron Flux Of A Vver 1200 Reactor Core Using Monte Carlo Code Openmc, K. M. Rakib Al Hasan, Dr. Debashis Datta, Altab Hossain

International Journal of Nuclear Security

Nuclear reactors and their associated facilities are complex systems that require accurate modeling and analysis to ensure safety, security, and efficient operation. This study aims to model and analyze the neutron flux of a generic VVER 1200 reactor core using the Monte Carlo code OpenMC. For the purpose of this analysis, a generic model of the VVER 1200 reactor core was developed using an OpenMC simulation environment. Furthermore, using this model, the neutron flux spectrum inside the reactor core was evaluated, from which neutron fluence was calculated accordingly. This study analyzed the effect of neutron flux on the developed model …