Rocket-based combined cycle (RBCC) engines are an airbreathing propulsion technology that offers considerable potential for efficient access-to-space. Successful design of RBCC-powered space transport systems requires reliable databases for both vehicle and engine performance, calling for an effective sampling method to accurately resolve non-linear characteristics in vast design space. This paper presents an optimal sampling strategy based on the function gradients to realize efficient database construction based on evolutionary algorithms and assesses its effectiveness by applying the methodology to various test functions with multiple objectives as well as surrogate models representing scramjet intake characteristics for validation.
|Number of pages||11|
|Publication status||Published - 2015|
|Event||Asia-Pacific International Symposium on Aerospace Technology, APISAT 2014 - Shanghai, China|
Duration: Sep 24 2014 → Sep 26 2014
All Science Journal Classification (ASJC) codes