<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Development of an Adjoint-Based Aeroelastic Optimizer for Truss Structures in Wings</dc:title><dc:creator>Su, Anthony </dc:creator><dc:subject>optimization</dc:subject><dc:subject>truss</dc:subject><dc:subject>structure</dc:subject><dc:subject>aerodynamic</dc:subject><dc:subject>gradient</dc:subject><dc:subject>adjoint</dc:subject><dc:coverage>Aerospace Engineering</dc:coverage><dc:relation>B S</dc:relation><dc:description>This thesis presents the formulation and demonstration of an adjoint-based aerostructural optimization
of truss structures in wings. Aerodynamic forces are computed using strip theory aerodynamics
and structural deformation is computed using a nonlinear truss solver. The wing is
optimized using a gradient-based algorithm, where the gradients are solved for using the adjoint
method. The adjoint method allows for extremely efficient computations of derivatives with respect
to large numbers of design variables, such as the geometry of a truss. The adjoint method reduces
optimization execution time by 85% compared to the finite-difference method. The computational
framework developed in this study will be useful for designing 3D-printing-friendly aeroelastic
models for wind tunnel testing.</dc:description><dc:contributor>Daning Huang, Thesis Supervisor</dc:contributor><dc:contributor>Robert G. Melton, Thesis Honors Advisor</dc:contributor><dc:rights>open_access</dc:rights><dc:date>2021-04-07T16:15:21Z</dc:date><dc:identifier>https://honors.libraries.psu.edu/catalog/6983ams9006</dc:identifier></oai_dc:dc>