4.7 Article

Computational analysis and optimization of sandwich panels with homogeneous and graded foam cores for blast resistance

期刊

THIN-WALLED STRUCTURES
卷 147, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.tws.2019.106494

关键词

Sandwich panels; Functionally-graded foam core; Shock stress wave; Design optimization; Blast resistance

资金

  1. Australian Research Council (ARC) [DE160101633, DP190103752]
  2. National Natural Science Foundation of China [51575172, 11602161]
  3. Open Fund of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body [31615008]
  4. Australian Research Council [DE160101633] Funding Source: Australian Research Council

向作者/读者索取更多资源

Structural responses, deformation modes, blast resistance and energy absorption of foam core signify some major functional characteristics for design of sandwich panels. This study aimed to address these issues by investigating uniform and graded foam core configurations. First, an experimental study was performed and the testing results of blast-loaded sandwich panels were analyzed. Second, a numerical model was developed and validated by comparing the simulation results with the experimental results in terms of deformation modes and back facesheet deflection. Third, the blast resistance of sandwich panels was comprehensively studied based upon the developed numerical models. Due to the high attenuation ability of the shock induced stress wave, the foam core with descending gradient of layer density across the thickness direction provided the highest blast resistance of all the core configurations considered here and its advantage could be further improved by enlarging the density difference of the core layer. While keeping total facesheet thickness unchanged, a relatively thick back facesheet is beneficial to enhance the blast resistance under relative low blast intensity. Finally, an optimization study was performed to improve the blast resistance of graded core sandwich panels. For the single objective optimization, the maximum back facesheet deflection of the optimum design decreased by 24.58% in comparison with that for the initial baseline design. For the multiobjective optimization, the optimal designs obtained from the Pareto solution can significantly enhance weight efficiency without compromising the resistance.

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