Adam Cardoza

Adam Cardoza

he/him

PhD candidate in Mechanical Engineering — aeroelastic analysis, gradient-based design optimization, and deep-learning surrogates.

Publications

Journal Articles

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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Conference Papers

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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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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