GSRP/David Marshall: Fully Automated Cartesian Grid CFD Application for MDO in High Speed Flows

作者
nasa
链接
摘要

With the renewed interest in Cartesian gridding methodologies for the ease and speed of gridding complex geometries in addition to the simplicity of the control volumes used in the computations, it has become important to investigate ways of extending the existing Cartesian grid solver functionalities. This includes developing methods of modeling the viscous effects in order to utilize Cartesian grids solvers for accurate drag predictions and addressing the issues related to the distributed memory parallelization of Cartesian solvers. This research presents advances in two areas of interest in Cartesian grid solvers, viscous effects modeling and MPI parallelization. The development of viscous effects modeling using solely Cartesian grids has been hampered by the widely varying control volume sizes associated with the mesh refinement and the cut cells associated with the solid surface. This problem is being addressed by using physically based modeling techniques to update the state vectors of the cut cells and removing them from the finite volume integration scheme. This work is performed on a new Cartesian grid solver, NASCART-GT, with modifications to its cut cell functionality. The development of MPI parallelization addresses issues associated with utilizing Cartesian solvers on distributed memory parallel environments. This work is performed on an existing Cartesian grid solver, CART3D, with modifications to its parallelization methodology.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Hamb关注了科研通微信公众号
1秒前
共享精神应助莱克斯采纳,获得10
1秒前
小蘑菇应助思qi采纳,获得10
1秒前
StevenFong完成签到,获得积分10
1秒前
洪斌师兄太帅了完成签到,获得积分10
2秒前
2秒前
糯米糍完成签到,获得积分10
2秒前
3秒前
seven发布了新的文献求助10
3秒前
粗犷的思萱完成签到 ,获得积分10
4秒前
4秒前
4秒前
4秒前
4秒前
地球发布了新的文献求助10
6秒前
6秒前
700w完成签到 ,获得积分10
6秒前
攀攀完成签到,获得积分10
7秒前
829302yft完成签到,获得积分10
7秒前
EdithYune完成签到,获得积分10
8秒前
自由妄想完成签到,获得积分10
8秒前
光亮访烟应助XIANYU采纳,获得10
8秒前
SciGPT应助Renxixi采纳,获得10
8秒前
端庄东蒽发布了新的文献求助10
8秒前
饿石头发布了新的文献求助10
9秒前
BXSX发布了新的文献求助10
9秒前
9秒前
细心白竹完成签到 ,获得积分10
9秒前
杨乐发布了新的文献求助10
9秒前
科研通AI2S应助蔡姬采纳,获得10
10秒前
大模型应助可耐的孱采纳,获得10
10秒前
11秒前
11秒前
小鱼发布了新的文献求助10
11秒前
uae完成签到,获得积分20
12秒前
超级的怜南完成签到,获得积分10
13秒前
13秒前
wenlu发布了新的文献求助10
13秒前
要健身的俊完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7699097
求助须知:如何正确求助?哪些是违规求助? 9258454
关于积分的说明 20014420
捐赠科研通 7274245
什么是DOI,文献DOI怎么找? 3293397
关于科研通互助平台的介绍 2448826
邀请新用户注册赠送积分活动 2299701