..., if an inaccurate surrogate model is used, the calculation result using MCS will also be inaccurate, so it is essential to improve the accuracy of the surrogate model using sequential sampling. Hence, various sampling-based RBDO methods and sequential sampling methods have been proposed and used in various fields...

...Quan Lin; Qi Zhou; Jiexiang Hu; Yuansheng Cheng; Zhen Hu Multi-fidelity surrogate modeling has been extensively used in engineering design to achieve a balance between computational efficiency and prediction accuracy. Sequential sampling strategies have been investigated to improve...

... engineering problems, the initial sample set selected to produce the first set of data will almost inevitably miss certain features of the landscape, and thus, the construction of a useful surrogate often requires further, judicious infilling of some new samples. Sequential sampling strategies used to select...

... sequential sampling framework is developed for the metamodeling uncertainty reduction of multilevel systems to obtain a solution that approximates the true solution. Based on the Kriging model for the probabilistic analytical target cascading (ATC), the proposed framework establishes a revised objective...

..., 2013. Assoc. Editor: Michael Kokkolaras. 11 06 2012 24 02 2013 Sequential sampling strategies have been developed for managing complexity when using computationally expensive computer simulations in engineering design. However, much of the literature has focused on objective...

... is quantified. In contrast to space filling, the sequential sampling of a high-fidelity simulation model in our proposed framework is objective-oriented, aiming for improving a design objective. Strategy based on periodical switching criteria is studied, which is shown to be effective in guiding the sequential...