How is multidisciplinary design optimization (MDO) applied in aircraft design?

MDO integrates multiple disciplines to find globally optimal designs. Approach: Define design variables (geometry parameters, sizing), Formulate objectives (minimize weight, fuel burn, cost), Establish constraints (performance, certification requirements), and Link discipline analyses (aerodynamics, structures, propulsion, weights). MDO architectures: MDF (Multi-Disciplinary Feasible) - All disciplines converged at each optimization iteration; IDF (Individual Discipline Feasible) - Disciplines solved independently with coupling constraints; and AAO (All-At-Once) - Single optimization including all discipline equations. Challenges: Computational cost (high-fidelity analyses), Nonconvex design space, Many local optima, and Discipline model fidelity matching. Applications: Wing planform optimization (sweep, twist, thickness), Configuration selection (conventional vs. novel), and Mission/aircraft co-optimization. Tools: ModelCenter, OpenMDAO, and in-house frameworks. MDO reveals design trade-offs and identifies solutions not found by sequential discipline optimization. Surrogates reduce computational cost for high-fidelity optimization.