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Grant: Alliance Grants

Concordia University

$59,000.00

CFD winds validation

FY 2024-25

Summary
The project will address the challenges and opportunities of using Computational Fluid Dynamics (CFD) to evaluate the atmospheric effects on pilot training for Advanced Air Mobility (AAM). A reliable method for creating realistic flight simulations based on digital twin models of cities accounting for atmospheric effects will be developed. It will contribute to the optimization of safe flight routes in urban environments. The simulations will help improve the safety of both the aircraft operators and the civilians along the flight path. The project will cover the following aspects: automated geometry and mesh processing, CFD simulations based on Large Eddy Simulations, validation of urban flow simulations, and integration of wind flow and flight paths. All students involved in this project will gain expertise and experience in conducting research in the field of AAM. Moreover, some students will acquire more fundamental skills in developing numerical simulation, and designing performance, stability and control algorithms. Others will conduct more applied research in urban flow simulations and validation. This advanced and technically demanding project will be carried out by five Master's students supervised by four Concordia professors and collaborating with two industry leaders in flight simulations and environmental engineering. The project will also help CAE to establish criteria that will be used to assess the relevance of using urban flow simulations in the AAM pilot training curriculum. Since atmospheric effects have been modeled on training devices before, the emergence of AAM raises the security challenges of operating vehicles within the urban landscape. By validating urban flow simulations against multiple sources, this project will provide RWDI with the level of CFD simulation accuracy needed to capture the effects of the urban flow on the performance, stability and control of AAM vehicles.
Program
Alliance Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
590445-2023
Name nom
Paraschivoiu, Marius M
Department département
Gina Cody School of Engineering and Computer Science
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
59000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2203
Research subject group en
Fluid mechanics
Research subject group fr
Mécanique des fluides
Research subject en
Modelling, simulation
Research subject fr
Modélisation et simulation
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
CFD winds validation
Keywords
advanced air mobility; automated geometry processing; automated mesh processing; computational fluid dynamics; flight path; large eddy simulations; thermal effects; trajectory optimization; urban flow simulations; validation
Application summary
The project will address the challenges and opportunities of using Computational Fluid Dynamics (CFD) to evaluate the atmospheric effects on pilot training for Advanced Air Mobility (AAM). A reliable method for creating realistic flight simulations based on digital twin models of cities accounting for atmospheric effects will be developed. It will contribute to the optimization of safe flight routes in urban environments. The simulations will help improve the safety of both the aircraft operators and the civilians along the flight path. The project will cover the following aspects: automated geometry and mesh processing, CFD simulations based on Large Eddy Simulations, validation of urban flow simulations, and integration of wind flow and flight paths. All students involved in this project will gain expertise and experience in conducting research in the field of AAM. Moreover, some students will acquire more fundamental skills in developing numerical simulation, and designing performance, stability and control algorithms. Others will conduct more applied research in urban flow simulations and validation. This advanced and technically demanding project will be carried out by five Master's students supervised by four Concordia professors and collaborating with two industry leaders in flight simulations and environmental engineering. The project will also help CAE to establish criteria that will be used to assess the relevance of using urban flow simulations in the AAM pilot training curriculum. Since atmospheric effects have been modeled on training devices before, the emergence of AAM raises the security challenges of operating vehicles within the urban landscape. By validating urban flow simulations against multiple sources, this project will provide RWDI with the level of CFD simulation accuracy needed to capture the effects of the urban flow on the performance, stability and control of AAM vehicles.