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This presentation provides an overview of the DOE/NNSA Nuclear Criticality Safety Program, including the program's history, mission, vision, main functions, budgetary information, accomplishments, challenges, initiatives, and current work.
This presentation provides an overview of the Nuclear Criticality Safety Program (NCSP) and its activities at Oak Ridge National Lab, including the program's history, mission and vision, accomplishments, challenges, initiatives, and tasks, as well as information regarding ORNL's NCSP budget.
This presentation provides an overview of the Nuclear Criticality Safety Program (NCSP) Nuclear Data Program, including its history, mission, vision, activities, and budgetary information.
Abstract not provided.
Abstract not provided.
The design of criticality experiments is typically an iterative process that employs a Monte Carlo transport code. The goal is to find a design that optimizes some variable, like the sensitivity of a response to a cross section, while simultaneously ensuring criticality. The high fidelity of the Monte Carlo code is a great asset, but it makes exploring the design space computationally expensive. Herein, we present how a constrained Bayesian optimization algorithm can be used to efficiently design a criticality experiment. It uses Gaussian processes as a surrogate model to probe the design space and to reduce the number of code executions that are needed to find the optimum. We demonstrate constrained Bayesian optimization with a Pu-239/polyethylene solution system and a TEX experiment that is designed for criticality safety validation of a nuclear waste model at the Hanford Site. For both systems, a global optimum was found within 75 Monte Carlo simulations.
The design of criticality experiments is typically an iterative process that employs a Monte Carlo transport code. The goal is to find a design that optimizes some variable, like the sensitivity of a response to a cross section, while simultaneously ensuring criticality. The high fidelity of the Monte Carlo code is a great asset, but it makes exploring the design space computationally expensive. Herein, we present how a constrained Bayesian optimization algorithm can be used to efficiently design a criticality experiment. It uses Gaussian processes as a surrogate model to probe the design space and to reduce the number of code executions that are needed to find the optimum. We demonstrate constrained Bayesian optimization with a Pu-239/polyethylene solution system and a TEX experiment that is designed for critical ity safety validation of a nuclear waste model at the Hanford Site. For both systems, a global optimum was found within 75 Monte Carlo simulations.
This presentation touches on the purpose of the DOE/NNSA Nuclear Criticality Safety Program Technical Program Review. This presentation also covers the background, history, mission, and vison of the organization. Slides include visual representations of the technical program element activities and the current NCSP work sites.
This presentation covers the Oak Ridge National Laboratory (ORNL) Nuclear Criticality Safety Program (NCSP) fiscal year 2022 budget summary. This presentation includes charts and graphs on budget spending and spending details for the 2022 fiscal year.
This presentation explains the meaning of the terms “Credible” and “Unlikely” for nuclear criticality safety purposes. This presentation references several terminology resources. With a focused look into ANS-8.1 Terminology. The presentation concludes with a talk on safety culture and the formality of operations program (FOP).
This presentation covers ANS-8 and its status. The presentation starts with an introduction into ongoing projects. Including touching upon on ANS standard development steps and a status report. Finally, the lecture covers ISO WG8 Standards. with a special focus on recent ISO TC85/SC5 Plenary in Tsukuba, Japan and ISO development process + road map and a final status report.
This presentation shares good practices and lessons that were learned. Particularly highlighted is the Learning from Experience Database (LFE). Provided are additional slides walking through a visual representation of this system.
This presentation is on the formality of operations and nuclear criticality safety standards. This lecture starts with an Introduction then leads into a conversation on the dependencies of formality of operations. Secondly the presentation includes a review of past issues. Included is a Discussion about “credible” and “unlikely” – variables for process analysis in ANS-8.1, Section 4.1.2, and the double contingency principle, Section 4.2.2, respectively. The presentation finishes with some conclusions.
This presentation includes a discussion of the agenda and ANS-8 and WG8 Chair Membership. The presentation continues with recent SC-8 & NCSCC Ballots and NCSCC Topics. This lecture concludes with reports from Working Group Chairs and any Old/New Business.
This presentation begins with an Introduction and the current Status to ANS-8. The presentation then segues into active projects and some new projects. The lecture concludes with some highlights and insights to take away.
This presentation details budget and spending details for Fiscal Year (FY) 2023 for ORNL NCSP. Highlights and accomplishments from ORNL are provided for FY2023.
This presentation details the discussion of agenda topics. Including the minutes from the last meeting and Membership. Additionally covered is ANS-8 and NCSCC ballots, ANS-8 participation report, and ANS-8 New and Old Business.
This presentation details current initiatives, status report, membership needs and upcoming meetings.