Two-Scale Topology Optimization with Microstructures: Supplemental Material
نویسندگان
چکیده
1 DISCRETE SAMPLING OF MICROSTRUCTURES Given a set of microstructures, a new population of microstructures is generated using the Stochastically-Ordered Sequential Monte Carlo (SOSMC) method introduced by Ritchie et al. (2015). In our implementation, the samples (or particles) are our microstructures, i.e. binary assignments of the base materials, and the desired distribution is the one that maximizes the number of particles located near or outside the boundary of the gamut of material properties. We evaluate the contribution of each sample towards the desired goal thanks to the scoring function
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