Instructor:

  Dr. Lyle N. Long
  233-M Hammond Building
  lnl at psu.edu  
  http://www.personal.psu.edu/lnl/
  865-1172 (I'm hard to reach by phone)

Lectures: Mon., Wed., and Fri., 10:10 - 11:00, 109 Boucke Bldg.

Office Hours: 2:00 - 3:00, Mon., Wed., & Thurs.
(or email me and we can schedule a meeting)

T.A.: Nilay Sezer-Uzol

Course Homepage: http://www.personal.psu.edu/lnl/423/ (only available to students enrolled in course)

Outline:

• Computers
• Introduction
• Equations of Fluid Dynamics
• Finite Differences
• Ordinary Differential Equations (ODE)
• Partial Differential Equations (PDE)
• Numerical Stability
• Numerical Methods for Elliptic PDEs
• Numerical Methods for Hyperbolic PDEs
• Numerical Methods for Parabolic PDEs
• Linear Algebra
• 2-D Euler Equation Methods

Required Textbook:

     Computational Fluid Mechanics and Heat Transfer
     Tannehill, Anderson, and Pletcher  (2nd Edition)
  

Optional Textbooks:

• CFD:
  • "Computational Techniques for Fluid Dynamics (Vol. 1 and 2)," by C. A. J. Fletcher
  • "Numerical Computation of Internal and External Flows (Vol. 1 and 2)," by C. Hirsch
  • "Fundamentals of Computational Fluid Dynamics," by Harvard Lomax, Thomas H. Pulliam, and David W. Zingg
• Fluid Dynamics:
  • "Compressible Fluid Dynamics," by Thompson
  • "Viscous Fluid Flow," by White
  • "Gas Dynamics," Liepmann and Roshko
  • "Turbulence Modelling," by Wilcox
• C++ Books:
  • "C++ for Scientists and Engineers," Yang
  • "Core C++," Victor Shtern
• Fortran books:
  • "Fortran 90 Programming," by T. M. R. Ellis, Ivor R. Philips, Thomas M. Lahey
  • "Fortran 90/95 for Scientists and Engineers ," by Stephen J. Chapman
• Java Books:
  • "Java for Scientists and Engineers," 2nd edition, Chapman
  • "Core Java," by Horstmann and Cornell
  • "Java How to Program," by Deitel and Deitel

1. Understand the advantages and disadvantages of a wide range of numerical algorithms applicable to the partial differential equations of fluid dynamics.
2. Prepare you to read and understand the literature in CFD and other areas of computational physics.
3. Prepare you to use, modify, and develop CFD codes.

Of the stated goals and objectives of the Aerospace Engineering Department, the following are relevant :

Detailed Objectives:

• ability to apply knowledge of mathematics, science and engineering
• ability to identify, formulate, and solve engineering problems,
• understanding of professional and ethical responsibility, ability to communicate effectively, broad education necessary to understand the impact of engineering solutions in a global and societal context,.
• recognition of the need for, and an ability to engage in life-long learning, knowledge of contemporary issues,
• ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Outcomes

• analyze fluid dynamics, including the regimes of subsonic, transonic, and supersonic flows, inviscid and viscous flows, and laminar and turbulent flows,
• make effective oral and written presentations in the format appropriate for the setting,
• demonstrate an awareness of the need to stay abreast of technical developments throughout their working careers, and demonstrate that they are able to maintain and extend their learning, and
• make appropriate and effective use of computer software, hardware, and state-of-the-art laboratory instrumentation.

Course Conduct:

There will be four or five program development projects. Each project will require writing a computer program to solve a particular problem, describing the algorithm, presenting the results, and writing a report. There will be one midterm exam and a comprehensive final exam.

Grading (tentative) : Programs/HW 35%, Midterm 30%, and Final 35%

Prerequisites: computer programming (fortran or c), CompSci 201 or 120, Math 220, Math 230 or 231, Math 251, (i.e. scientific programming, partial differential equations, and linear algebra).