Aerospace applications of optimization under uncertainity

The multidisciplinary optimization (MDO) branch at NASA Langley Research Center develops new methods and investigates opportunities for applying optimization to aerospace vehicle design. We describe MDO branch experiences with three applications of optimization under uncertainty: (1) improved impact dynamics for airframes, (2) transonic airfoil optimization for low drag, and (3) coupled aerodynamic/structures optimization of a 3-D wing. For each case, a brief overview of the problem and references to previous publications are provided. The three cases are aerospace examples of the challenges and opportunities presented by optimization under uncertainty. We illustrate a variety of needs for this technology, summarize promising methods, and uncover fruitful areas for new research