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川普在美国宾州巴特勒的一次演讲中遇刺_20240714川普在美国宾州巴特勒的一次演讲中遇刺_20240714
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Qingdao, China – March 27, 2024 – China has launched its first intelligent aerodynamic simulation model for high-speed trains, a significant leap forward in the nation’s high-speed rail technology. Unveiled in Qingdao this month, the model promises to slash simulation times from days to seconds, marking a new era of AI-driven development for China’s high-speed rail industry.

Developed under the unified organization of China Railway Rolling Stock Corporation (CRRC), the model is a collaborative effort between the National High-Speed Train Qingdao Technology Innovation Center and CRRC Qingdao Sifang Co., Ltd. It is built upon CRRC’s Zhuo Lun foundation model.

Aerodynamics play a crucial role in high-speed train design, directly impacting operational safety, energy efficiency, and environmental performance. The development of new train models typically requires extensive simulation analysis and repeated validation. For instance, the development of the Fuxing series involved hundreds of aerodynamic resistance simulations for key components like the train head, pantograph, and wind shield, requiring months or even years to finalize the design.

The new AI-powered simulation model addresses this challenge by leveraging the team’s extensive experience in high-speed train development and fluid simulation. Utilizing a scientific computing model framework and optimized algorithms like geometric information neural operators and Fourier neural operators, the model was trained on massive datasets. This allows it to replace traditional simulation methods and significantly improve efficiency.

Traditional aerodynamic simulation methods are computationally intensive and time-consuming, often requiring substantial supercomputing resources, which increases simulation costs, explained the head of the model development team. Now, with a well-trained simulation model, we can meet the required simulation accuracy while significantly reducing the turnaround time.

Currently, the model boasts an average prediction error of approximately 8%. However, the development team aims to reduce this to below 5% as the training dataset is continuously refined.

The intelligent simulation model functions as a super calculator for engineers. By simply importing a 3D geometric file of a design, engineers can obtain critical data such as aerodynamic resistance and surface pressure within 10 seconds, enabling targeted design optimization. Furthermore, the model supports simultaneous use by multiple users, allowing for the optimization of multiple design schemes concurrently, significantly enhancing design efficiency and quality.

Unlike previous aerodynamic simulations that relied on general-purpose commercial software, this new model utilizes domestically developed software and hardware, adaptable to various Chinese computing resources. This ensures complete autonomy and control over the simulation process, providing a solid foundation for independent innovation in China’s high-speed train technology.

The successful development of this intelligent aerodynamic simulation model will enable rapid evaluation of aerodynamic resistance in areas such as the train head and bogies. This will drive data-driven intelligent selection and rapid optimization of the overall train shape, marking a significant step towards a more efficient and innovative future for China’s high-speed rail development.

References:

  • IT之家. (2024, March 27). 中国首个高速动车组空气动力学智能化仿真大模型问世 [China’s first intelligent aerodynamic simulation model for high-speed trains is launched]. Retrieved from [Insert Original Article Link Here if Available]


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