Data driven Z-FFR physical modeling

Wenbin Xiong; Zhangchun Tang; Pan Liu; Qiang Gao; Yan Shi; Fanyu Qu; Chencheng Liu; Cheng Liu

doi:10.1117/12.2674673

23 May 2023 Data driven Z-FFR physical modeling

Wenbin Xiong, Zhangchun Tang, Pan Liu, Qiang Gao, Yan Shi, Fanyu Qu, Chencheng Liu, Cheng Liu

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041P (2023) https://doi.org/10.1117/12.2674673
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

The Z-FFR (Z-Pinch Driven Fusion Fission Hybrid Reactor) is an important innovative design concept. The high uncertainty of the operating process of the pulsed power unit and the physical process of fusion and the absence of some theoretical and experimental conditions make it difficult to establish a high-precision mechanistic model, and it is difficult to obtain an accurate mathematical model of a complex, dynamic system. A data-driven physical modelling approach is urgently needed to replace the mechanistic models obtained with the aid of extensive simulations and experiments. The approach includes the creation of functional modules, the packaging of sub-modules, the configuration of module interfaces and the configuration of analytical models. Based on the actual needs of Z-FFR design and operation monitoring, the online analysis can be autonomously configured to accommodate different experimental data through machine learning, enabling anomaly detection, trend prediction, model design evaluation and operation assessment during the experimental process.

Citation Download Citation

Wenbin Xiong, Zhangchun Tang, Pan Liu, Qiang Gao, Yan Shi, Fanyu Qu, Chencheng Liu, and Cheng Liu "Data driven Z-FFR physical modeling", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041P (23 May 2023); https://doi.org/10.1117/12.2674673

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