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The present stress field is obtained by excavating strata layers. Coordinates, present burial depth, present lateral stress coefficients and ancient regression factors of lateral stress coefficients are input to GAN as real samples for training, and optimized ancient regression factors can be predicted. Uniform designed numerical tests are carried out to simulate the valley evolution by excavation. Utilizing the nonlinear relationship between measured stress components and present burial depth, lateral stress coefficients of ancient times are estimated to obtain the approximate ancient stress field. A numerical model with flat ancient terrain surfaces is established. This paper proposed a method using the generative adversarial network (GAN) to obtain optimized lateral stress coefficients of the ancient stress field. Although the present stress field can be obtained by valley evolution simulation, the accuracy of the ancient stress field has a remarkable influence. Since the limited measured data, it is necessary to obtain an optimized stress field.
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The initial in situ stress field influences underground engineering design and construction.