Efficient generation of large-scale pareto-optimal topologies

98 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Undercut and overhang angle control in topology optimization: A density gradient based integral approach (2017, background): “They include density distribution [4, 5, 6], level set [7, 8], topological derivative [9, 10], phase field [11], and evolutionary methods [12].”
A Pareto-Optimal Approach to Multimaterial Topology Optimization (2015, methodology): “Using the concept of topological sensitivity [53], a topological level set method was developed in [15], [16] for SMTO that traces the Pareto curve governing compliance and volume fractions.”
Research supporting principles for design for additive manufacturing (2014, background): “See, for example, papers on ensuring connectivity of evolving solutions (Rozvany 2009), utilisation of topological sensitivity to improve computational efficiency (Suresh 2013), and alternative solution techniques such as level sets (Wei and Wang 2009).”
Support structure constrained topology optimization for additive manufacturing (2016, methodology): “field  as described above; smoothen the  field [60].”