Abstract
A new approach to solving the robust topology optimization problem considering random field loading uncertainty was developed. The Karhunen-Loeve expansion was employed to characterize the random field as a reduced set of random variables. Efficient method of sensitivity analysis was developed and integrated into the density based topology optimization approach. The numerical example demonstrated the efficiency of the proposed approach and the effect of loading uncertainty on the robust design results.
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Acknowledgments
The authors would like to thank Krister Svanberg for providing the matlab code of MMA optimizer. This paper is supported by the project of Defense Industrial Technology Development Program(Grant No.C0320110002 ) and the Innovation Foundation of BUAA for PhD Graduates.
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Zhao, J., Wang, C. Robust structural topology optimization under random field loading uncertainty. Struct Multidisc Optim 50, 517–522 (2014). https://doi.org/10.1007/s00158-014-1119-6
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DOI: https://doi.org/10.1007/s00158-014-1119-6