Inverse analysis is necessary for concrete dams in normal operation to overcome the discrepancy between the true mechanical\nparameters and test results. In view of the uncertain characteristics of concrete dams, a stochastic inverse model is proposed in this\nstudy to solve the undetermined mechanical parameters with sequential and spatial randomness using measured displacement\ndata and Bayesian back analysis theory. An inversion method for the mechanical parameters of concrete dams is proposed. Fast\nFourier transform algorithm is introduced to generate random fields for SFEM analysis. The case study shows that the proposed\ninversion method can reflect the random characteristics of concrete dams, the mechanical parameters obtained are reasonable,\nand the inverse model is feasible.
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