Developing Software for High-Order Simulation of Transient Compressible Flow Phenomena: Application to Design of Unmanned Aerial Vehicles
Developing Software for High-Order Simulation of Transient Compressible Flow Phenomena: Application to Design of Unmanned Aerial Vehicles
批准号:
EP/K027379/1
负责人:
Peter Vincent
金额:
$128.82万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
中文摘要
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英文摘要
Over the past decades, computer simulations have played an increasingly important role in design of numerous complex systems. In particular, computer simulations have played a pivotal role in aerodynamic and structural design of aircraft. It is becoming apparent, however, that current generation software packages used for aerodynamics design are not fit for purpose. Newer software is required, that can make effective use of current and future computing platforms, to perform highly accurate so called 'scale-resolving' simulations of air flow over complex aircraft configurations. Such capability would lead to design of more efficient and capable aerospace technology. In particular, it would greatly improve design of next generation Unmanned Aerial Vehicles (UAVs), which in the coming decades are set to have a significant impact on our society, playing key roles in areas such as defense, border security, search and rescue, farming, fishing, cargo transport, wireless communications, and weather monitoring.The primary objectives of this research are to i.) develop software that can effectively leverage capabilities of current and future computing platforms (with many thousands or even millions of computing cores) to undertaken hitherto intractable simulations of airflow over complex UAV configurations ii.) test and demonstrate cutting edge functionality of this software, iii.) translate the technology to industry, such that it can be used to facilitate design of next generation UAVs.The research program will be lead by Dr. Peter Vincent (a Lecturer in the department of Aeronautics at Imperial College London). It will be undertaken in collaboration with various industrial partners including BAE Systems, NASA Glenn, Nvidia, and Zenotech, and with various academic partners including Stanford University, UC Berkeley, University of Swansea, and University of Utah. This assembled team of project partners, comprising a selection of the world's leading companies, and elite research institutions, will ensure the project successfully delivers its objectives.
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六面体非结构化网格上轮廓树构建的非顶点临界点的识别和分类。
DOI:
10.1109/tvcg.2021.3074438
发表时间:
2022
期刊:
IEEE transactions on visualization and computer graphics
影响因子:
5.2
作者:
[Koch MK]
通讯作者:
Koch MK
Using the pyMIC Offload Module in PyFR
在 PyFR 中使用 pyMIC 卸载模块
DOI:
10.48550/arxiv.1607.00844
发表时间:
2016
期刊:
影响因子:
--
作者:
[Klemm M]
通讯作者:
Klemm M
High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade
MTU-T161 低压涡轮叶片流动的高阶精确直接数值模拟
DOI:
10.1016/j.compfluid.2021.104989
发表时间:
2021
期刊:
Computers & Fluids
影响因子:
2.8
作者:
[Iyer A]
通讯作者:
Iyer A
High-order scale-resolving simulations of extreme wind loads on a model high-rise building
高层建筑模型极端风荷载的高阶尺度解析模拟
DOI:
10.1016/j.jweia.2022.105169
发表时间:
2022
期刊:
Journal of Wind Engineering and Industrial Aerodynamics
影响因子:
4.8
作者:
[Giangaspero G]
通讯作者:
Giangaspero G
Synthetic Turbulence Generation for High-Order Scale-Resolving Simulations on Unstructured Grids
非结构化网格上高阶尺度解析模拟的合成湍流生成
DOI:
10.2514/1.j061046
发表时间:
2022
期刊:
AIAA Journal
影响因子:
2.5
作者:
[Giangaspero G]
通讯作者:
Giangaspero G
共 8 条
PyFR: Towards Industry and Exascale
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批准号:EP/R030340/1
-
项目类别:Fellowship
-
资助金额:$137.73万
-
财政年份:2018
-
负责人:Peter Vincent
-
依托单位:
Hyper Flux
-
批准号:EP/M50676X/1
-
项目类别:Research Grant
-
资助金额:$24.46万
-
财政年份:2014
-
负责人:Peter Vincent
-
依托单位:
海外基金