Simulation results are presented for all cases from the Third AIAA Sonic Boom Prediction Workshop. An inviscid, embedded-boundary Cartesian-mesh flow solver is used in conjunction with adjoint-based mesh adaptation to compute near-field pressure signatures. Specialized techniques are applied to maximize accuracy and minimize cost on Cartesian meshes. Regions of the flow most sensitive to discretization error are identified using Richardson extrapolation. Timing results and mesh sizes for near-field cases demonstrate that decomposition into multiple off-track simulations is efficient in both computational time and wall-clock time, with results among the least computationally expensive of those presented at the workshop. Pressure signals are propagated to the ground using an augmented Burgers equation solver to predict boom carpets. Ground signatures and loudness metrics are presented for a standard atmosphere as well as an atmosphere with wind profiles that affect overall noise levels and can significantly widen the boom carpet. Mesh convergence studies show that high sampling frequencies, around 500 kHz, are required for on-track propagation; the sampling frequency increases at large off-track angles due to longer acoustic ray paths. Overall, the approach presented here yields accurate results for predicting low-sonic-boom signatures.

第三届 AIAA Sonic Boom Prediction Workshop 的所有案例都提供了模拟结果。无粘性、嵌入式边界笛卡尔网格流求解器与基于伴随的网格自适应结合使用，以计算近场压力特征。应用专门的技术以最大限度地提高笛卡尔网格的准确性并最大限度地降低成本。使用理查森外推法识别对离散化误差最敏感的流区域。近场情况的计时结果和网格大小表明，分解为多个偏离轨道的模拟在计算时间和挂钟时间上都是有效的，其结果是研讨会上展示的那些计算成本最低的。使用增强的 Burgers 方程求解器将压力信号传播到地面，以预测动臂地毯。地面特征和响度指标针对标准大气以及具有影响整体噪音水平并可能显着加宽吊杆地毯的风廓线的大气呈现。网格收敛研究表明，轨道传播需要大约 500 kHz 的高采样频率；由于较长的声学射线路径，采样频率在较大的偏离轨道角度时会增加。总的来说，这里介绍的方法为预测低音爆特征产生了准确的结果。由于较长的声学射线路径，采样频率在较大的偏离轨道角度时会增加。总的来说，这里介绍的方法为预测低音爆特征产生了准确的结果。由于较长的声学射线路径，采样频率在较大的偏离轨道角度时会增加。总的来说，这里介绍的方法为预测低音爆特征产生了准确的结果。