We present a computational framework for robust topology optimization that integrates polygonal finite-element discretizations, spatially correlated non-Gaussian material modeling, and non-intrusive polynomial-chaos surrogates. Spatial uncertainty in Young’s modulus is represented as a homogeneous non-Gaussian random f...
N. Cuellar, Anderson Pereira, I. Menezes et al.· Journal of the Brazilian Soc...· 0 citations
This paper presents TopSim, an extensible C++ framework for developing numerical simulations in parallel and distributed environments. The framework’s contribution is architectural rather than algorithmic, arising from the integration of three key architectural features within a unified execution model: (1) a service-o...
Leonardo S. Duarte, Rodrigo Espinha, H. Goicoechea et al.· Journal of the Brazilian Soc...· 0 citations
The variational graph autoencoder (VGAE) regularizes its posterior toward the prior with the Kullback-Leibler divergence, a choice inherited from the variational autoencoder rather than argued for. We introduce the generalized graph variational autoencoder (GGVA), which replaces that term with any member of the R\'enyi...
Kleyton da Costa, Bernardo Modenesi, I. Menezes et al.· 0 citations
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