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cs.CE2025
Deep reinforcement learning for efficient exploration of combinatorial structural design spaces
Chloe S. H. Hong, Keith J. Lee, Caitlin T. Mueller
This paper proposes a reinforcement learning framework for performance-driven structural design that combines bottom-up design generation with learned strategies to efficiently sea…
cs.CE2024
A differentiable structural analysis framework for high-performance design optimization
Keith J. Lee, Yijiang Huang, Caitlin T. Mueller
Fast, gradient-based structural optimization has long been limited to a highly restricted subset of problems -- namely, density-based compliance minimization -- for which gradients…
cs.CE2021
Spherical harmonic shape descriptors of nodal force demands for quantifying spatial truss connection complexity
Keith J. Lee, Renaud Danhaive, Caitlin T. Mueller
The connections of a spatial truss structure play a critical role in the safe and efficient transfer of axial forces between members. For discrete connections, they can also improv…