Embedded Files
Texas A&M
AERO 221 — Analytical Methods for Aerospace Engineering
Description: Matrix operations, Gaussian elimination, linear transformations, coordinate transformations, eigenvalues, eigenvectors, diagonalization, including programming and computer implementation, applied to solid mechanics, fluid mechanics, dynamics and control of air and space vehicles.
Prerequisites: Grade of C or better in ENGR 102, MATH 152, PHYS 206, and ENGR 216/PHYS 216 or PHYS 216/ENGR 216.
AERO 306 — Aerospace Structural Analysis II
Description: Work and energy principles; analysis of indeterminate structures by classical virtual work and finite elements; introduction to elastic stability of columns; application of energy methods to determine stresses, strains and displacements in typical aerospace structures; design considerations in aerospace structures.
Prerequisites: Grade of C or better in AERO 304.
Duke University
ME524 — Introduction to Finite Element Analysis (Teaching Assistant, 2016 & 2017)
Description: Investigation of the finite element method as a numerical technique for solving linear ordinary and partial differential equations, using rod and beam theory, heat conduction, elastostatics and dynamics, and advective/diffusive transport as sample systems. Emphasis placed on formulation and programming of finite element models, along with critical evaluation of results. Topics include: Galerkin and weighted residual approaches, virtual work principles, discretization, element design and evaluation, mixed formulations, and transient analysis.
Prerequisites: a working knowledge of ordinary and partial differential equations, numerical methods, and programming in FORTRAN or MATLAB.
ME525 — Nonlinear Finite Element Analysis (Guest Lecturer, 2019)
Description: Formulation and solution of nonlinear initial/boundary value problems using the finite element method. Systems include nonlinear heat conduction/diffusion, geometrically nonlinear solid and structural mechanics applications, and materially nonlinear systems (for example, elastoplasticity). Emphasis on development of variational principles for nonlinear problems, finite element discretization, and equation-solving strategies for discrete nonlinear equation systems. Topics include: Newton-Raphson techniques, quasi-Newton iteration schemes, solution of nonlinear transient problems, and treatment of constraints in a nonlinear framework. An independent project, proposed by the student, is required.
Page updated
Google Sites
Report abuse