Monitoring and Predicting of Dam 3D Deformations By PS-InSAR Method and Geodetic Data

The precise monitoring of engineering structures is always one of the most important issues in engineering science.Monitoring engineering structures using traditional methods is very costly.Due to the high spatial resolution and low cost, radar acquisitions are considered as one of the most important tools for monitoring engineering structures. In this paper, the 3D displacement field of the Droodzan damwas calculated using radar acquisitions and geodetic data. Then, using existing observations and artificial neural network algorithm, the Dam deformation was predicted at a point until 2023.The correlation coefficients between the prediction model and the results obtained from the integration method for this point forthree dimensionswere 0.64-0.62 -0.77.RMSE of results for dimensions was obtained 7.87-8.54-5.12 mm. These results represent a good correlation between the predicted model and the results obtained from the integration method.