Denk M, Rother K, Paetzold K (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Publisher: The Design Society
Pages Range: 91-100
Conference Proceedings Title: Proceedings of the 31st Symposium Design for X, DFX 2020
DOI: 10.35199/dfx2020.10
Open Access Link: https://doi.org/10.35199/dfx2020.10
Multi-Objective Topology Optimization is a tool for finding low-weight solutions using a discretized geometry of several objective functions. In this contribution, the coupling of heat conduction and elastostatics is covered using the global criteria method. For the comparison of the different objectives and objective distributions typically the single target optimized solutions are selected as normalization criteria [1], [2]. The use of these optimized results requires additional calculation effort, so that this work uses the objective distribution of full material properties instead. For the normalization, the objective distributions will be standardized, and quantile normalized. The normalization strategies are compared to each other by the number of iterations and the resulting objective value.
APA:
Denk, M., Rother, K., & Paetzold, K. (2020). Multi-objective topology optimization of heat conduction and linear elastostatic using weighted global criteria method. In Dieter Krause, Kristin Paetzold, Sandro Wartzack (Eds.), Proceedings of the 31st Symposium Design for X, DFX 2020 (pp. 91-100). Online, DE: The Design Society.
MLA:
Denk, Martin, Klemens Rother, and Kristin Paetzold. "Multi-objective topology optimization of heat conduction and linear elastostatic using weighted global criteria method." Proceedings of the 31st Symposium Design for X, DFX 2020, Online Ed. Dieter Krause, Kristin Paetzold, Sandro Wartzack, The Design Society, 2020. 91-100.
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