Multipoint Deformation Prediction Model Based on Clustering Partition of Extra High-Arch Dams

Key Points

• Deformation prediction from the model improves safety measures for extra high-arch dams, and helps manage monitoring data.
• Key evidence shows this model effectively addresses the uneven spatial distribution of deformation in dam structures.
• The approach includes developing a prediction model based on clustering techniques to analyze complex monitoring data for dams.
• The findings may enable better management of deformation risks, although further validation in real-world settings is needed.