{"title":"校准高阶壁模型大涡度模拟的子网格尺度模型","authors":"Zhaowen Duan, Z. J. Wang","doi":"10.1186/s42774-023-00169-7","DOIUrl":null,"url":null,"abstract":"High-order methods have demonstrated orders of magnitude reduction in computational cost for large eddy simulation (LES) over low-order methods in the past decade. Most such simulations are wall-resolved implicit LES (ILES) without an explicit sub-grid scale (SGS) model. The use of high-order ILES for severely under-resolved LES such as wall-modeled LES (WMLES) often runs into robustness and accuracy issues due to the low dissipation embedded in these methods. In the present study, we investigate the performance of several popular SGS models, the static Smagorinsky model, the wall-adapting local eddy-viscosity (WALE) model and the Vreman model, to improve the robustness and accuracy of under-resolved LES using high-order methods. The models are implemented in the high-order unstructured grid LES solver called hpMusic based on the discontinuous flux reconstruction method. The length scales in these SGS models are calibrated using the direct numerical simulation (DNS) database for the turbulent channel flow problem. The Vreman model has been found to produce the most accurate and consistent results with a proper choice of the length scale for WMLES.","PeriodicalId":33737,"journal":{"name":"Advances in Aerodynamics","volume":"140 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calibrating sub-grid scale models for high-order wall-modeled large eddy simulation\",\"authors\":\"Zhaowen Duan, Z. J. Wang\",\"doi\":\"10.1186/s42774-023-00169-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-order methods have demonstrated orders of magnitude reduction in computational cost for large eddy simulation (LES) over low-order methods in the past decade. Most such simulations are wall-resolved implicit LES (ILES) without an explicit sub-grid scale (SGS) model. The use of high-order ILES for severely under-resolved LES such as wall-modeled LES (WMLES) often runs into robustness and accuracy issues due to the low dissipation embedded in these methods. In the present study, we investigate the performance of several popular SGS models, the static Smagorinsky model, the wall-adapting local eddy-viscosity (WALE) model and the Vreman model, to improve the robustness and accuracy of under-resolved LES using high-order methods. The models are implemented in the high-order unstructured grid LES solver called hpMusic based on the discontinuous flux reconstruction method. The length scales in these SGS models are calibrated using the direct numerical simulation (DNS) database for the turbulent channel flow problem. The Vreman model has been found to produce the most accurate and consistent results with a proper choice of the length scale for WMLES.\",\"PeriodicalId\":33737,\"journal\":{\"name\":\"Advances in Aerodynamics\",\"volume\":\"140 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Aerodynamics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1186/s42774-023-00169-7\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Aerodynamics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1186/s42774-023-00169-7","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
摘要
在过去十年中,高阶方法在大涡度模拟(LES)中的计算成本比低阶方法降低了几个数量级。大多数此类模拟都是壁面分辨隐式 LES(ILES),没有显式子网格尺度(SGS)模型。在壁面建模 LES(WMLES)等严重欠分辨 LES 中使用高阶 ILES 时,由于这些方法中嵌入了低耗散,经常会遇到鲁棒性和精度问题。在本研究中,我们研究了几种流行的 SGS 模型的性能,包括静态 Smagorinsky 模型、壁面适配局部涡粘度(WALE)模型和 Vreman 模型,以提高使用高阶方法的欠分辨 LES 的鲁棒性和精度。这些模型是在基于非连续通量重建方法的高阶非结构网格 LES 求解器 hpMusic 中实现的。这些 SGS 模型的长度尺度是利用直接数值模拟(DNS)数据库对湍流通道流问题进行校准的。通过对 WMLES 长度尺度的适当选择,发现 Vreman 模型产生的结果最为准确和一致。
Calibrating sub-grid scale models for high-order wall-modeled large eddy simulation
High-order methods have demonstrated orders of magnitude reduction in computational cost for large eddy simulation (LES) over low-order methods in the past decade. Most such simulations are wall-resolved implicit LES (ILES) without an explicit sub-grid scale (SGS) model. The use of high-order ILES for severely under-resolved LES such as wall-modeled LES (WMLES) often runs into robustness and accuracy issues due to the low dissipation embedded in these methods. In the present study, we investigate the performance of several popular SGS models, the static Smagorinsky model, the wall-adapting local eddy-viscosity (WALE) model and the Vreman model, to improve the robustness and accuracy of under-resolved LES using high-order methods. The models are implemented in the high-order unstructured grid LES solver called hpMusic based on the discontinuous flux reconstruction method. The length scales in these SGS models are calibrated using the direct numerical simulation (DNS) database for the turbulent channel flow problem. The Vreman model has been found to produce the most accurate and consistent results with a proper choice of the length scale for WMLES.