The principle focus of the ACL is the development and application of numerical techniques in the
desgn of aerospace products. The basis of these numerical techniques lies in the application of
multigrid methods pioneered by Proessor Jameson in the past decades. These methods are being used
to solve mathematical models of fluid flow ranging from the linearized potential flow equations to
the fully non-linear unsteady Navier-Stokes equations. The computational efficiency of these techniques
have made them the de-facto standard in the aerospace industry. These codes have been used to analyze
and design vehicles ranging from sailboats to commercial airliners.
Professor Jameson has also been a forerunner in the development of adjoint theory as applied to
optimization methods. The group has integrated this research with the solver technology to provide
state of the art design tools. Typically the solution and optimization algorithms change the shape
of the designs automatically to minimize a figure of merit preselected by the designer. The codes
eliminate costly design cycles, speeding development and hence minimizing costs. In addition, the
codes ensure that new designs perform optimally through a wide variety of conditions.
With the advent of parallel computing, scientists have witnessed tremendous reductions in computation
time over more classical supercomputing technologies. Historically, the ACL has been committed towards
developing algorithms that can be applied in these parallel computing environments. The Department of
Energy recently started the Acclerated Strategic Computing Initiative (ASCI) which is dedicated towards
developing the science of parallel computing. As one of 5 universities participating in this project,
Stanford's goal is to complete a fully unsteady Navier-Stokes simulation of a jet turbine engine. From
its library of software, the ACL has already developed a turbine analysis code capable of analyzing
multiple blade rows of a turbine or compressor. Work is continuing on merging this code with compressor
simulations to complete a full engine analysis.
Description not yet available.
High-order discretization unstructured methods
Spectral Difference method utilizes the concept of discontinuous and high-order representations to achieve high accuracy as well as conservation. It combines the salient features of structured and unstructured grid methods to achieve high computational efficiency and geometric flexibility.