HIGHLIGHTS
- who: August et al. from the Shanghai Jiao Tong University, China have published the Article: Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells, in the Journal: (JOURNAL)
- what: The authors propose a novel GCN-DDPG architecture that employs weighted adjacency matrices constructed from the internal forces for solving the bracing direction optimization problem.
- how: This paper proposes methods for the bracing directions optimization of grid shell structures for minimizing the strain energy using DDPG and GCN. To evaluate the efficiency of the structural configuration this paper . . .
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