Graph-based reinforcement learning for the optimal design of skeletal structures ― case 3: assembly sequence optimization of spatial trusses
We consider a truss as a graph consisting of nodes and edges, and combine graph embedding (GE)[…]
Flexible Timber
Design Kazuki Hayashi Location Kyoto University Katsura Campus, Kyoto, Japan Project Area 50 ㎡ Project Term 20
(in Japanese) PE civil CBT受験記録
2021年後半からPE civilの試験がPaper-based testからComputer-based test (CBT)に変わり、日本でも2022年からCBTに移行移行しました。2022年2月24日に早速大阪でP […]
Graph-based reinforcement learning for the optimal design of skeletal structures ― case 2: cross-section optimization of planar steel frames
Abstract A combined method of graph embedding (GE) and reinforcement learning (RL) is developed for discrete c
Graph-based reinforcement learning for the optimal design of skeletal structures ― case 1: topology optimization of trusses
Abstract: For truss topology optimization problems, a hybrid method of reinforcement learning (RL) and graph e […]
Solve indefinite linear systems using NumPy only
Suppose we are going to solve for variables \( \bf x\) \(\in {\mathbb R}^{n} \) $${\bf Ax}={\bf[…]
Regularization of panel shapes for latticed shells
Keywords latticed shell; panelization; clustering; constructability
Moving Roof
Keywords variable geometry truss(VGT); kinetic architecture; adaptive structure; structural design competition
