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A two-stage multi-fidelity optimization procedure for honeycomb-type cellular materials AITranslate

The University of Sydney; Hunan University; The University of Sydney; The University of Sydney
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Publisher: Elsevier
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Abstract AITranslate

This paper presents a two-stage multi-fidelity (or named variable fidelity) method for surrogate models in honeycomb crashworthiness design. The high/low-fidelity analyses adopt fine/coarse finite element (FE) meshes, respectively. In Stage I, a correction response surface (RS) was constructed from the ratio or difference between high-fidelity and low-fidelity analyses at few sample points. In Stage II, the high-fidelity response is approximated via a radial basis function (RBF), either alone or incorporating with the correction RS model from Stage I. It is shown that the presented two-stage multi-fidelity model is more appropriate than any single-fidelity counterpart in the honeycomb optimization under the same computational cost.

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DOI:https://doi.org/10.1016/j.commatsci.2010.05.041

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Citation Information:

This paper presents a two-stage multi-fidelity (or named variable fidelity) method for surrogate models in honeycomb crashworthiness design. The high/low-fidelity analyses adopt fine/coarse finite element (FE) meshes, respectively. In Stage I, a correction response surface (RS) was constructed from the ratio or difference between high-fidelity and low-fidelity analyses at few sample points. In Stage II, the high-fidelity response is approximated via a radial basis function (RBF), either alone or incorporating with the correction RS model from Stage I. It is shown that the presented two-stage multi-fidelity model is more appropriate than any single-fidelity counterpart in the honeycomb optimization under the same computational cost.

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GB/T 7714-2015 [1] Guangyong Sun, Guangyao Li, Michael Stone, et al. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.05.041.
MLA [1] Guangyong Sun, et al., Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.05.041.
APA [1] Guangyong Sun, Guangyao Li, Michael Stone, & Qing Li. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.05.041
IEEE [1] Guangyong Sun, Guangyao Li, Michael Stone, and Qing Li, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.05.041.