A novel multi-task graph neural network model for cable force optimization in cable-stayed bridges

Yuhang Lei

doi:10.1016/j.engstruct.2025.121468

A novel multi-task graph neural network model for cable force optimization in cable-stayed bridges

2025-09-29

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DOI：10.1016/j.engstruct.2025.121468

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• A novel multi-task GNN model is developed for cable-stayed bridge optimization. • A cable force optimization method combining NSGA-II and MT-GNN is proposed. • The model achieves high accuracy in predicting displacements and bending moments. • The proposed approach significantly improves computational efficiency for 3D bridges.

A novel multi-task graph neural network model for cable force optimization in cable-stayed bridges

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