CFD软件可信度评估平台研制与应用

Development and application of a credibility assessment platform for CFD software

  • 摘要: 建模和模拟过程中引入的近似或假设会导致CFD结果存在可信度问题。科学评估CFD软件的可信度对软件研发、推广和应用具有重要意义。为提高软件可信度评价的工作效率,研制了一款CFD软件可信度评估平台。该平台由CFD软件管理、评价指标体系管理、CFD作业过程控制、数据后处理、可信度分析和图表报告生成等模块组成,能够根据评价指标体系对CFD软件开展系统科学的量化评估。通过集成CFD软件可信度评价所需的算法工具、标模数据和算力资源,实现了计算数据下载、CFD作业组织、仿真结果处理与评估等过程的高度自动化。基于该平台对国家数值风洞工程自主研发的NNW-FlowStar软件进行了初步评估,验证了该平台设计方案的高效性、便捷性和工程实用性。

     

    Abstract: The approximations and assumptions made in computational fluid dynamics (CFD) modeling and simulations undermine the credibility of CFD results and prevent CFD software from playing a more significant role. Therefore, it is of great significance to assess the credibility of CFD software for its development and application. However, traditional credibility assessment by managing thousands of CFD simulations and processing gigantic amount of data correctly is tedious and time-consuming. To improve the efficiency of credibility assessment of CFD software, this paper develops a credibility assessment platform based on the B/S architecture and Spring Boot framework. It incorporates seven modules, including the CFD software management module, the assessment index system management module, the simulation process control module, the data post-processing module, the credibility analysis module, the report generation module, and others. These modules enable systematic and scientific quantitative assessments of CFD software according to the assessment index system. By integrating algorithm tools, standard model data, and computing resources required for CFD software credibility assessment, the platform automates standard model data downloading, sample generation, CFD job calculation and monitoring, data processing, simulation results analyzsis, and report generation, which remarkably reduces the cost and risk in the data production and processing process. A preliminary application of this platform to the evaluation of NNW-FlowStar, an independently developed software by the National Numerical Wind Tunnel Project, demonstrates that the platform is efficient, convenient, and practical in engineering applications.

     

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