Abstract
Abstract This paper reviews the effectiveness of a recently developed second order based multidisciplinary design optimization (MDO) algorithm in application to coupled engineering test problems. The second order based procedure significantly reduces the number of system analyses required for optimization as compared to first order based MDO procedures and single level optimization strategies. Based on these successes, this paper introduces a blueprint for an improved second order based MDO algorithm. The new algorithm is designed to provide additional design team compatibility and to exploit parallel computations during system optimization. The new algorithm introduces a modified non-hierarchic decomposition strategy (state space decomposition) that allows individual design teams to access the full design vector during concurrent subspace optimizations. Access to the the design vector in the new algorithm is now based on the local analyses capabilities of individual design teams. The coordination procedure of system approximation in the new algorithm will make use of second order global sensitivities. The new state space decomposition provides for the calculation of these sensitivities in parallel making use of local design data bases.
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