Recent years have seen the emergence of topology optimization as one of the most active research areas of structural optimization, with a broad range of promising applications in engineering design. Uncertainty is ubiquitous in real-world situations, which affects design solutions profoundly. This paper proposes a method to integrate topology optimization of static continuum structures with robust design optimization under uncertain load positions. To model the robust design problem, a multi-objective optimization formulation is posed, in which both the expectancy and the standard deviation of the structural compliance are minimized with weighting factors. Next a density based method, called Solid Isotropic Material with Penalization, and the Method of Moving Asymptotes are employed to output the robust structural topology. Numerical examples implemented in Matlab are then utilized to illustrate the proposed method, investigate outcomes of the robust design methodology against deterministic one, and confirm that the resulting designs are robust. Nodal displacements are compared between robust and deterministic solutions.
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ASME 2014 International Mechanical Engineering Congress and Exposition
November 14–20, 2014
Montreal, Quebec, Canada
Conference Sponsors:
- ASME
ISBN:
978-0-7918-4960-6
PROCEEDINGS PAPER
Robust Topology Optimization Under Random Load Locations Available to Purchase
Trung B. Pham,
Trung B. Pham
Oregon State University, Corvallis, OR
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Christopher Hoyle,
Christopher Hoyle
Oregon State University, Corvallis, OR
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Brian Bay
Brian Bay
Oregon State University, Corvallis, OR
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Trung B. Pham
Oregon State University, Corvallis, OR
Christopher Hoyle
Oregon State University, Corvallis, OR
Brian Bay
Oregon State University, Corvallis, OR
Paper No:
IMECE2014-36824, V011T14A029; 8 pages
Published Online:
March 13, 2015
Citation
Pham, TB, Hoyle, C, & Bay, B. "Robust Topology Optimization Under Random Load Locations." Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition. Volume 11: Systems, Design, and Complexity. Montreal, Quebec, Canada. November 14–20, 2014. V011T14A029. ASME. https://doi.org/10.1115/IMECE2014-36824
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