| Citation: | CHEN Xiangyu，GUO Yonggang，ZHOU Xingbo，et al. Rapid assessment of earthquake damage of reservoir dam based on BO-GBDT[J]. Bulletin of Geological Science and Technology，2025，44（3）：1-14 doi: 10.19509/j.cnki.dzkq.tb20240425
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Reservoir dams are major lifeline projects, and how to quickly and effectively assess the damage of reservoir dams after an earthquake is of great significance to the development of rescue programs and post-disaster restoration.
In order to quickly and accurately assess the damage degree of reservoir dams hit by earthquakes,
This paper selects the earthquake damage details of each reservoir dam of the Wenchuan 8.0 magnitude earthquake, combines the structural characteristics of the dams and the intensity of earthquakes to construct the assessment index system and data set, uses the k-nearest-neighbor interpolation method to deal with the missing value of the samples and judges the sample feature correlation, and proposed a rapid assessment model of reservoir dam earthquake damage based on gradient boosting algorithm. Four hyper-parameter optimization methods, namely Grid Search (GS), Particle swarm optimization (PSO), Bayesian optimization (BO) and HyperBand Search (HS), are used to optimize the parameters of the Gradient Boosted Tree (GBDT) regression algorithm,compare the models based on their performance metrics (coefficient of determination R2, root mean square error RMSE, mean absolute error MAE), and rank the feature importance of the optimal models.
The results show that the BO-GBDT model can assess the degree of earthquake damage of reservoir dams with the shortest time consumption as well as high accuracy, with a high coefficient of determination R2 of 0.99, and a feature importance score indicating that the maximum crack width is the most influential factor. Comparing the results of using this model with those of the earth dam damage assessment model based on the improved empirical statistical model, the accuracy is further improved, which verifies the reliability of the model in the application of rapid investigation and assessment of post-earthquake damage of reservoir dams.
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