Christopher Ritter’s research while affiliated with Idaho National Laboratory and other places

... By providing comprehensive insights into the operational performance and condition of the vessel, digital twins facilitate more efficient resource utilization and minimize waste. This is particularly relevant in the nuclear sector, where the management of radioactive materials and the safety of operations are paramount [71]. The ability to monitor, simulate, analyze, and test various scenarios allows for proactive maintenance and operational adjustments, ultimately leading to improved reliability and reduced environmental impact. ...

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Artificial Intelligence as Enabler for Adoption of Sustainable Nuclear-Powered Maritime Ships: Challenges and Opportunities

... Their applications extend across a broad spectrum, from optimizing renewable energy generation to ensuring grid stability and predictive maintenance. By providing real-time monitoring, simulation, and optimization capabilities, DTs are revolutionizing the management of energy assets such as wind farms, solar panels, nuclear reactors, and smart power grids [67,72,[235][236][237][238][239]. These applications facilitate the seamless integration of renewable and non-renewable energy sources, optimize resource allocation, and enhance system reliability through predictive maintenance [240][241][242]. ...

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Digital Twin Technology Advancing Industry 4.0 and Industry 5.0 Across Sectors

... The data acquisition system was integrated into LabView and assessed to verify data validity. The testing identified some deviation between the manual readings and the data acquisition readings, indicating the persistence of a physical issue that was then addressed by the Idaho State University reactor team [49]. ...

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Early Fault Detection in Nuclear Systems: A Digital Engineering Approach

... Cyber security regulations are currently in place for existing NPPs; however, they must be adapted to consider the unique threats associated with these novel technologies. Sabharwall et al. presented a review of the cyber security concerns, threat identification, and threat mitigation strategies that are relevant to microreactor technologies including HPMRs [22]. They proposed recommendations for future research based on concepts such as autonomous cyber defense systems and digital twins that could utilize artificial intelligence and machine learning. ...

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Operation and Security Considerations for Heat Pipe Cooled Microreactors

... DE has been prioritized in the U.S. Department of Defense, real estate, and aerospace industries, as examples (DoD, 2023;Attaran and Celik, 2023;Grosse, 2019;Dang et al., 2018;Bazilevs et al., 2015;Glaessgen and Stargel, 2012;Seshadri and Krishnamurthy, 2017;Li et al., 2017;Tuegel et al., 2011). Increasingly, DE is being used in biotechnology, medicine, agriculture, nuclear energy, and other fields (Cai et al., 2017;Bruynseels et al., 2018;Rassolkin et al., 2019;Kochunas and Huan, 2021;Crowder et al., 2022;Prantikos et al., 2022;Attaran and Celik, 2023;Javaid et al., 2023;Sandhu et al., 2023;Plachinda et al., 2021;Yadav et al., 2021;Soori et al., 2023). ...

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Digital engineering implementation in nuclear demonstration and nonproliferation projects at Idaho National Laboratory

... The design effort was a collaboration across six national laboratories, ten universities, and over 15 industry partners and was concentrated between 2017 and 2021. The VTR program implemented elements of the Department of Defense Digital Engineering Strategy (DoD, 2023) through the use of data-driven tools, a digital thread, cloud computing, and close collaboration with the Digital Innovation Center of Excellence (Ritter et al., 2022b). These tools were implemented through design and procurement, with the intent to continue their use during construction and operation. ...

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Digital engineering implementation in nuclear demonstration and nonproliferation projects at Idaho National Laboratory

... Применение сочетания технологий MBSE и создания цифровых двойников позволяет применять методы машинного обучения нейросетей (ML), которые превосходно подходят для решения многоцелевых задач оптимизации с ограничениями, возникающих при проектировании и производстве летательных аппаратов и ракет [9]. Действительно, новые методы машинного обучения можно рассматривать как методы оптимизации на основе данных, которые идеально подходят для ре- 10 , поскольку большинство требований являются текстовыми и, как правило, формально не моделируются, даже если они имеют определенный уровень структуры и правил. Используя технологию NLP, семантическая информация может быть извлечена из текстовых требований, что может иметь несколько преимуществ, которые будут оценены: найти связанные требования, сравнение содержимого спецификаций, идентификация перекрывающихся требований и связывание инженерных текстовых артефактов (таких, как отчеты о проектировании, отчеты об испытаниях и т.д.) с содержимым цифровых моделей. ...

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Трансформация отраслевого управления в ракетно-космической промышленности на основе цифровых технологий: Transformation of Industry Management in the Rocket and Space Industry Based on Digital Technologies

... This approach improves accuracy and efficiency across engineering and management disciplines, results in better cost and performance outcomes, and unlocks potential advanced uses of digital tools, including predictive capabilities, AI/ML, remote operation, and customized uses such as safeguards development (Basher, 2003;Wood, 2004;Upadhyaya et al., 2007;Tuegel et al., 2011;Li et al., 2017;Rajesh et al., 2019;Ritter et al., 2022a;Wang et al., 2022;Javaid et al., 2023;Tao et al., 2019). For a more comprehensive description of the benefits of DTs, see Javaid et al. (2023). ...

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Digital engineering implementation in nuclear demonstration and nonproliferation projects at Idaho National Laboratory