An enhanced aggregation method for topology optimization with local stress constraints

By Yangjun Luo, Michael Y. Wang, Zhan Kang. 2013

164 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/8b7cbb3c430991d2bee3c78268c558894bc9f9f8

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In Artificial Intelligence

In Civil and Structural Engineering

In Computational Theory and Mathematics

Citations in the corpus

A multi-resolution method for 3D multi-material topology optimization (2015, unknown): “In this approach, the voids are represented by coarser mesh while the solids by relatively finer mesh during the process [37,40–42].”
Damage approach: A new method for topology optimization with local stress constraints (2015, methodology): “Finally, Luo et al. (2013) proposed an enhanced aggregation method in which they combine an active set strategy with constraint aggregation.”
Stress-based shape and topology optimization with the level set method (2018, background): “Such measures can be based on the p-norm or Kreisselmeier-Steinhauser (K-S) functions [2, 7, 8, 9, 10, 11].”
A survey of structural and multidisciplinary continuum topology optimization: post 2000 (2014, methodology): “A recent alternative by (Luo et al. 2013) is an adaptive aggregation method that treats potentially active and non-active local constraints separately while updating aggregation metrics throughout optimization.”
Topology optimization approaches (2013, background): “2010) or Kreisselmeier-Steinhauser (K-S) functions (Rozvany and Sobieszczanski-Sobieski 1992; Luo et al. 2013).”
Design of graded lattice structure with optimized mesostructures for additive manufacturing (2018, background): “[41]-[43], but limited papers can be found for lattice structure optimization with stress or buckling constraints.”
Topology optimization for minimum weight with compliance and simplified nominal stress constraints for fatigue resistance (2017, methodology): “Luo et al (2013) proposed an enhanced aggregation technique based on the KS function which aggregates separately the active and the passive local stress constraints along with a relevant active set strategy.”