Skip to Main Content
  • About
    • About the Department
    • Mission
    • History
    • FXB Building
    • Facts & Figures
    • Giving
    • Newsletters
    • Maps & Directions
    • Contact Us
  • Events
    • Featured Events
    • Event Calendar
  • News
    • News Stories
    • In the News
    • COVID-19 Updates
    • Time for Change—George Floyd
    • Freedom of Speech Support
  • Research
    • Department Research
    • Research Areas
      • AERO Research Areas
      • Areas of Impact
      • Aerodynamics and Propulsion
      • Computation
      • Dynamics & Controls
      • Space Systems
      • Structures & Materials
    • Labs and Facilities
      • AERO Labs and Facilities
      • Aerodynamics and Propulsion
      • Autonomous Systems and Control
      • Space Systems
      • Structures & Materials
      • Wind Tunnels
    • Get Involved
      • Research Opportunities
      • Summer Undergraduate Research
      • Undergraduate Advice
  • Academics
    • Academics
    • Undergraduate
      • Undergraduate Program
      • Admissions / Declaring
      • Advising
      • Degree Requirements
      • Program Outcomes & Objectives
      • Course Outcomes & Objectives
      • Study Abroad
      • Co-ops and Internships
      • Scholarships
      • SUGS
      • Teaching Labs
    • Graduate
      • New Graduate Students
      • Master of Science in Engineering
      • Doctor of Philosophy
      • Master of Engineering
      • Application Process
      • Funding
      • Admissions Guidelines
      • International Admission Requirements
      • Visit Us
    • Courses
      • Undergrad Courses
      • Graduate Courses
      • AERO 590 Projects
  • People
    • Administration
    • Faculty
      • All Faculty
      • Core Faculty
      • Emeritus Faculty
      • Adjunct Faculty
      • Affiliated Faculty
    • Graduate Students
    • Staff
    • Student Support
    • Student Teams & Projects
    • Student Societies
    • Undergraduate Committee
    • Industrial Advisory Board (IAB)
  • Careers
    • About the Field
    • Employment Opportunities
    • Faculty Search
  • Info for You
    • Prospective Graduate Students
    • Prospective Undergraduates
    • Current Students
    • Diversity Equity and Inclusion Resources
    • Alumni
    • Corporate Partners
    • Media
Aerospace Engineering
Aerospace Engineering
Aerospace Engineering
CONNECT WITH US:
About
Research
Academics
People
Careers
Info for You
  • About
    • Mission
    • History
    • Diversity, Equity and Inclusion
    • Outreach
    • FXB Building
    • Facts & Figures
    • Giving
    • Newsletters
    • Maps & Directions
    • Contact Us
  • Research
    • Research Areas
    • Labs and Facilities
    • Get Involved
  • News
    • In the News
    • COVID-19 Updates
    • Time for Change—George Floyd
    • Freedom of Speech Support
  • Academics
    • Undergraduate
    • Graduate
    • Courses
  • Featured Events
    • Event Calendar
  • People
    • Administration
    • Faculty
    • Graduate Students
    • Staff
    • Student Support
    • Student Teams & Projects
    • Student Societies
    • Undergraduate Committee
    • Industrial Advisory Board (IAB)
  • Careers
    • About the Field
    • Employment Opportunities
    • Faculty Search
  • Info for You
    • Prospective Graduate Students
    • Prospective Undergraduates
    • Current Students
    • Diversity Equity and Inclusion Resources
    • Alumni
    • Corporate Partners
    • Media
HOME/Research/Computation
  • Research Areas
    • Aerodynamics & Propulsion
    • Autonomous Systems and Control
    • Computation
    • Space Systems
    • Structures & Materials
  • Labs and Facilities
    • Aerodynamics & Propulsion
    • Autonomous Systems and Control
    • Space Systems
    • Structures & Materials
    • Wind Tunnels
  • Get Involved
    • Areas of Impact
    • Summer Undergraduate Research
    • Undergraduate Advice

Computation

man explains a computer simulation of a shock wave impinging on an airplane wing surface

Computation plays a fundamental role in the design, analysis and operation of modern Aerospace systems. Applications include flight software, embedded computing for on-board control, optimization of structural, aerodynamic and propulsion systems, etc. Broadly speaking, our research is organized into two branches: Computer science and Computational science, with a healthy overlap. Computer science relates more to the software and avionics part of the research, while computational science relates to analyzing, modeling and designing the physical system. Data science, another area of emphasis in the department, pertains  to the development of algorithms to extract knowledge and insight from real world and simulation data, with the goal of application in decision-making scenarios.

Modern aerospace systems are inherently cyber physical systems, and with the emergence of powerful computers, abundant sensors, versatile performance requirements, and autonomy, computing is defining and driving the future of aerospace engineering. Our research and teaching spans fundamental topics as well as leading-edge applications.

  • Jean-Baptiste Jeannin: Verified Aerospace Systems
  • Alex Gorodetsky: Computational Autonomy
  • Ella Atkins: Autonomous Aerospace Systems Laboratory
  • Karthik Duraisamy: Computational Aerosciences Laboratory
  • Venkat Raman: Advanced Propulsion Concepts Lab
  • Krzysztof Fidkowski: Computational Fluid Dynamics Group
  • Veera Sundararaghavan: Multiscale Structural Simulations Lab
  • Joaquim R. R. A. Martins: Multidisciplinary Design Optimization
  • Vasileios Tzoumas: Starting in January 2021

Sample Research Areas:

Formal Verification

Aerospace software is used in many critical tasks in both design and operation of aircraft and spacecraft, from autopilot control and automatic decision making to computational simulations. Software bugs can (and sometimes do) lead to erroneous design decisions or loss of flying vehicles. Formal verification enables mathematical proofs of software correctness,, guaranteeing that the software will work correctly under the right conditions. Verification can ensure anything from the absence of run-time errors is C code to full functional correctness of the onboard software.

Multidisciplinary Design Optimization

Numerical simulations can predict the performance of engineered systems, but to be ultimately useful in the design of such systems, they need to be integrated in a design process. Numerical optimization methods can aid the design process by searching for the best designs automatically. Because most engineered systems involve multiple disciplines or components, it is necessary to couple different numerical simulations and to consider the design of the whole system. Multidisciplinary design optimization (MDO) addresses this need while achieving better designs in a shorter design cycle. Aerospace vehicles are prime examples of engineered systems that require multidisciplinary considerations; other applications include wind turbines, ground vehicles, and watercraft. As these systems become more complex and more sophisticated simulation techniques become available, new breakthroughs are needed in MDO approaches.

Computational Algorithms

The prevalence of numerical simulations today is made possible not only by increases in computer performance, but also by advances in computational algorithms. These algorithms are used to solve the equations that govern phenomena of engineering interest, on problems of ever-increasing size and complexity. The changing landscape of computer architectures necessitates research into novel algorithms that can harvest computational throughput to accurately and efficiently obtain the required solutions.

Data Driven Modeling

With the proliferation of high-resolution datasets and advances in computing and algorithms over the past decade, data science has risen as a discipline in its own right. The natural question to ask then is: Can we bypass the traditional ways of intuition/hypothesis-driven model creation and instead use data to enable predictions of physical problems? In other words, can one extract cause-and-effect relationships and create reliable predictive models based on a large number of observations of physical phenomena? Our research takes the view that data cannot be an alternative for physical modeling, but when combined with—and informed by—a detailed knowledge of the physical problem and problem-specific constraints, it can yield successful solutions. Along these lines, we develop physics constrained data-driven models for the analysis, design and control of physical problems.

Uncertainty Quantification

The Aerospace enterprise is increasingly relying on simulation models for achieving rapid advancement in design, control, and scientific advancement. These simulation models are often constructed using either data-driven models or physical simplifications, and therefore exhibit significant uncertainty in both form and function. To enable reliable use of these models, the effects of this uncertainty on important simulation outputs must be understood. Uncertainty quantification seeks to develop fast and efficient methods to understand the effect uncertainties present in all simulations on important simulation outputs. This area combines statistical inference, numerical analysis, and machine learning to create algorithms that capture this uncertainty in the context of learning models and their parameters from data and propagating uncertainty through a simulation.

Selected Research Project:

Air force center of excellence on Rocket Combustion Dynamics


Accurate modeling of combustion dynamics in rocket engines remains a challenging problem characterized by extremely high-dimensional computations of non-linear and multi-scale physics. These difficulties are further complicated by the coupling between the flow dynamics, chemistry, and acoustics. With the new center, the goal is to advance the state-of-the-art in Reduced Order Models (ROMs) and enable efficient prediction of instabilities in liquid fueled rocket combustion systems. See more at afcoe.engin.umich.edu

server-room-wires

Computation Facilities

See Where We Work »
Anthony Waas portrait
Anthony M. Waas
Richard A. Auhll Department Chair, Felix Pawlowski Collegiate Professor

Aerospace Engineering

awaas@umich.edu
(734) 764-7320
3064 FXB Bldg
Aerospace Engineering
Aerospace Engineering

François-Xavier Bagnoud
Aerospace Building

1320 Beal Avenue

Ann Arbor, MI 48109-2140

Voice: (734) 764-3310

Fax: (734) 763-0578

Give to Aerospace Engineering »

  • Michigan Engineering
    • About the College
    • Research
    • Academics
    • Admissions
    • Departments
    • Giving
Follow The College

Facebook

Twitter

Instagram

LinkedIn

YouTube

ALWAYS INNOVATING. FOREVER VALIANT.

The Michigan Engineering Bicentennial Web Project is a multimedia story collection.

See all stories »

  • © The Regents of the University of Michigan Ann Arbor, MI 48109 USA
  • Privacy Policy
  • Non-Discrimination Policy
  • Campus Safety
  • U-M Gateway
  • Give Feedback