This course will concern the following learning objectives:

• Multidisciplinary optimization considering aerodynamics and structures.
• Algorithmic Differentiation (AD) to support an efficient evaluation of the sensitivities needed by gradient-base optimization techniques.
• Effects of flight dynamics and aeroelasticity coupling.
• Formulation of coupled problems.

Syllabus

• Introduction: new efficient wings, aerostructural coupling, and optimization
• Optimization: definitions, classifications, numerical optimization methods (gradient-based optimization)
• Gradient evaluation: the adjoint method. Algorithmic differentiation.
• Using AD library on a simple problem: forward vs reverse modes
• MDO and MDO architectures. Coupled gradient evaluation.
• Application of high-fidelity Aero-structural optimization with AD
• Introduction on non-conventional aircraft and coupled flight dynamic and aeroelastic effects.
• Formulation of the coupled problem, unsteady aerodynamic forces integration.
• Applications on non-wing&tube aircraft

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Participation

You need to buy one of the package list available here and use the Order ID assigned to you after purchase.
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