SBIR/STTR Research Award

Risk Analysis and High-Fidelity Modeling of Spent Nuclear Fuel Derailment Events

Award identifier 8b2a0e97400085f36d28786464cb8c768da01722a528d6e6270b3004972d4e51Awarding agency Department of Energy

Award amount

$206,428

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
FRIEDMAN RESEARCH CORP
Proposal award date
2024-07-22
Contract end date
2025-05-21
UEI
M5TTUJU6V3K6
Solicitation number
DE-FOA-0003202
Topic code
C58-30a

Research abstract

A general lack of public trust in the government, the stigma surrounding nuclear waste, and the development of new rail systems for the transportation of nuclear waste has created a need to demonstrate to the public, in a clear and simple manner, the consequences of train derailments involving spent nuclear fuel casks. Visual demonstrations of derailment and crash scenarios through physical testing have been key to garnering public confidence in the performance of these storage and transportation systems. A more cost-effective and practical method of providing these demonstrations is required. The problem will be overcome by applying proven modeling and simulation techniques to develop digital twins of the train system and storage casks. These models will be validated against their physical counterparts. The models will then be used to simulate derailment crashes of interest to calculate any damage occurring to the casks and quantify the risk of material release. These simulations have the added benefit of providing visual representations of train and cask motion and potential damage that can be used in the future to support the creation of high-quality videos for public outreach campaigns. In Phase I accurate digital twin models of the novel Atlas rail vehicles and a spent nuclear fuel cask will be created. The digital twins will be used to replicate physical test conditions such as drop tests to verify that their structural response is accurate. Five derailment conditions will then be simulated and post-processed to quantify any damage to the casks and associated risk of material release, if any. High quality videos of the derailment simulations will be created that demonstrate the type of visuals that could be used in the future to support public education and outreach efforts. The digital twin technology proven here can be applied to product development workflow, lifecycle management, crash reconstruction, and strategic planning related to structural performance of vehicles, structures, and equipment.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

6 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $913,228. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense, Department of Transportation, Department of Energy

Agency intelligence

Department of Energy

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