Structure Sizing Optimization Capabilities at AIRBUS

Abstract

Structural sizing optimization at Airbus leans on different approaches depending on the needs. Two main solutions have been defined, mainly for questions of performance and deployment. A rapid solution (PRESTO) has been developed based on a pure discrete algorithm to perform parametric trade-off studies in early design stages. The structure optimization process has been simplified in such a way that it is as quick as possible. This is the right solution to be used by non-expert users in early overall aircraft studies. It exploits large databases and surrogate models in a Big Data mindset. A more advanced solution (ACO-AMO) has been developed to support later design stages and more detailed optimization. It uses a standard continuous optimization approach based on gradient information and state of the art mathematical programming algorithms. A second step allows performing a discrete ply-by-ply optimization for composite covers using an optimization heuristic (ant colony paradigm). This is the right technology to address advanced structure optimization and to be included in MDO processes. Both methods are under integration in a single platform (SOFIA) to provide adequate sizing optimization services for the relevant components (e.g. wing, fuselage) and design stages. A status will be made in this paper on the technologies used in the different tools, the applications performed and the current and future research and development axes especially in the effort to merge solutions or to integrate them in multidisciplinary processes.