Discrete adjoint benchmarks

This data set contains meshes for three discrete adjoint benchmarks along with ADflow configuration scripts to reproduce the results in the paper. If you are interested in running your adjoint solver for comparison, it is recommended to use the provided meshes (either structured or unstructured format) and the same flow conditions and CPU cores as described in the paper. If you would like to generate your own meshes, we suggest using a similar cell number for each benchmark. When comparing the performance, please report the runtime (in Taubench work unit), peak memory usage (resident set size in GB), number of CPU cores and mesh cells, as well as a description of your adjoint solver and the computing platform (including the Tau reference runtime). ADODG3: A low-speed rectangular wing. ADODG4: The common research model (CRM) wing. ADODG5: The CRM wing-body-tail configuration. *_Multiblock_Structured_Mesh.cgns: Multiblock structured mesh files for ADflow. *_Overset_Structured_Mesh.cgns: Multiblock overset mesh files for ADflow. *_Singleblock_Unstructured_Mesh.cgns: These meshes are identical to *_Multiblock_Structured_Mesh.cgns except that they are in single block unstructured mesh format. The far field, symmetry, and wall boundary names are FARFIELD, SYMMETRY, and WING, respectively. *_FFD.xyz: Free-form deformation (FFD) files for defining design variables. *_ADflow_Run_Script.py: Python scripts for reproducing the ADflow adjoint results in the paper. See detailed instructions in the scripts. Code_Version.txt: The required codes to produce the results and their links and versions. Reference: Gaetan K.W. Kenway, Charles A. Mader, Ping He, and Joaquim R. R. A. Martins. Effective adjoint approaches in Computational Fluid Dynamics, Progress in Aerospace Sciences, 2019.本数据集包含用于三个离散伴随基准测试的网格文件，以及可复现论文中结果的ADflow配置脚本。若您希望运行自身的伴随求解器进行对比，建议采用本文提供的网格文件（结构化或非结构化格式），并使用与论文中一致的流动条件与CPU核心数。若您希望自行生成网格，我们建议为每个基准测试采用相近的单元数量。在进行性能对比时，请报告运行时长（以Taubench工作单元计）、峰值内存占用（以GB为单位的常驻集大小）、CPU核心数与网格单元数量，同时请附上您的伴随求解器与计算平台的相关说明（包括Tau参考运行时长）。 ADODG3：低速矩形机翼。 ADODG4：通用研究模型（Common Research Model，CRM）机翼。 ADODG5：CRM翼身尾组合布局。 *_Multiblock_Structured_Mesh.cgns：适用于ADflow的多块结构化网格文件。 *_Overset_Structured_Mesh.cgns：适用于ADflow的多块重叠结构化网格文件。 *_Singleblock_Unstructured_Mesh.cgns：此类网格与*_Multiblock_Structured_Mesh.cgns内容一致，仅采用单块非结构化网格格式。其远场、对称面与壁面的边界名称依次为FARFIELD、SYMMETRY与WING。 *_FFD.xyz：用于定义设计变量的自由形式变形（Free-Form Deformation，FFD）文件。 *_ADflow_Run_Script.py：可复现论文中ADflow伴随求解结果的Python脚本，脚本内附有详细操作说明。 Code_Version.txt：包含生成结果所需的代码及其链接与版本信息的文件。 参考文献：Gaetan K.W. Kenway、Charles A. Mader、Ping He 与 Joaquim R. R. A. Martins. 计算流体力学中的高效伴随方法，《航空科学进展》（Progress in Aerospace Sciences），2019年。