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Pages
Adam Cardoza
PhD candidate in Mechanical Engineering — aeroelastic analysis, gradient-based design optimization, and deep-learning surrogates.
Posts
portfolio
CompressibleFluids.jl
An implementation of compressible fluid dynamics equations found in the text Gas Dynamics 3rd edition by John and Keith.
ImagesDLT.jl
A simple implementation of DLT for particle tracking across images in Julia.
DynamicStallModels.jl
A collection of dynamic stall models.
PIV.jl
A collection of methods for conducting particle image velocimetry using Julia.
WATT.jl: Wind Aeroelastic Turbine Toolkit
A toolkit for nonlinear unsteady aeroelastic modeling of wind turbine blades, specifically designed for derivative computation.
Engineering Research Fundamentals
A course on the fundamentals of research in engineering.
publications
Incorporating High-Fidelity Aerostructural Analyses in Wind Turbine Rotor Optimization
Published in AIAA SciTech 2022 Forum, San Diego, CA, 2022
High-fidelity aerostructural analyses are integrated into gradient-based wind turbine rotor optimization.
Recommended citation: Caprace, D. G., Cardoza, A., Ning, A., Mangano, M., He, S., & Martins, J. R. R. A. (2022). "Incorporating High-Fidelity Aerostructural Analyses in Wind Turbine Rotor Optimization." AIAA SciTech 2022 Forum, San Diego, CA. doi:10.2514/6.2022-1290
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A General Coupling Methodology for Unsteady Aerostructural Optimization with Analytic Derivatives
Published in AIAA SciTech 2022 Forum, San Diego, CA, 2022
A general coupling methodology enables unsteady aerostructural optimization with efficient analytic derivatives.
Recommended citation: McDonnell, T., Cardoza, A., Caprace, D. G., & Ning, A. (2022). "A General Coupling Methodology for Unsteady Aerostructural Optimization with Analytic Derivatives." AIAA SciTech 2022 Forum, San Diego, CA. doi:10.2514/6.2022-1291
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Efficient derivative computation for unsteady fatigue-constrained nonlinear aero-structural wind turbine blade optimization
Published in Wind Energy Science, 2026
Efficient gradient computation enables the inclusion of unsteady effects such as fatigue in aero-structural wind turbine blade optimization.
Recommended citation: Cardoza, A., & Ning, A. (2026). "Efficient derivative computation for unsteady fatigue-constrained nonlinear aero-structural wind turbine blade optimization." Wind Energy Science, 11(4), 1487–1504. doi:10.5194/wes-11-1487-2026
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talks
teaching
Example: A Course, Tutorial, or Resource
Tutorial, Brigham Young University, 2025