Study on Inversion of Damage Incentives of High Pile Wharf in Inland River Based on SEResNet

Based on SEResNet neural network algorithm, the inversion model of damage incentives inland high-piled wharf is constructed. The stress data pile foundation under action are obtained by using solid element finite calculation and indoor test methods. parameterized established subprocess in Python program to call MANSYS module, verified with model. simplified meets needs calculation. samples from test, analysis single multiple carried out. can identify location, size type injury causative agent good generalization ability.