Robust multidisciplinary design optimisation using CFD and advanced evolutionary algorithms
Lee, Dong Seop , Srinivas, Karkenahalli , Gonzalez, Luis F., Periaux, Jacques , & Obayashi, Shigeru (2010) Robust multidisciplinary design optimisation using CFD and advanced evolutionary algorithms. In Hafez, M.M., Oshima, K., & Kwak, D. (Eds.) Computational Fluid Dynamics Review 2010. World Scientific Publishing Company, Incorporated , Singapore, pp. 469-491.
|Accepted Version (PDF 998kB) |
Administrators only | Request a copy from author
Computation Fluid Dynamics (CFD) has become an important tool in optimization and has seen successful in many real world applications. Most important among these is in the optimisation of aerodynamic surfaces which has become Multi-Objective (MO) and Multidisciplinary (MDO) in nature. Most of these have been carried out for a given set of input parameters such as free stream Mach number and angle of attack. One cannot ignore the fact that in aerospace engineering one frequently deals with situations where the design input parameters and flight/flow conditions have some amount of uncertainty attached to them. When the optimisation is carried out for fixed values of design variables and parameters however, one arrives at an optimised solution that results in good performance at design condition but poor drag or lift to drag ratio at slightly off-design conditions. The challenge is still to develop a robust design that accounts for uncertainty in the design in aerospace applications. In this paper this issue is taken up and an attempt is made to prevent the fluctuation of objective performance by using robust design technique or Uncertainty.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Repository Staff Only: item control page