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An intelligent design method and system for an eccentrically compressed column of an externally wrapped UHPC and a medium

PendingCN122310652ADesigned to be safe and economicalDesigned to be efficient and smart
This disclosure relates to an intelligent design method, system, and medium for outsourced UHPC eccentrically compressed columns, belonging to the field of structural engineering technology. The method includes constructing a deep reinforcement learning network model; obtaining training samples and inputting them into the model; calculating the bearing capacity, cost, and compliance with engineering specifications using combinations of predicted design parameters obtained from the training samples; calculating a reward signal for training using the reward function and updating the network parameters; obtaining the load parameters of the outsourced UHPC eccentrically compressed column to be designed, and obtaining multiple sets of candidate design parameter combinations using the trained deep reinforcement learning network model; calculating the bearing capacity and checking against engineering specifications for the candidate design parameter combinations; and selecting the final design scheme based on the reward signal, the bearing capacity calculation results, and the engineering specification check results. This disclosure realizes intelligent design of outsourced UHPC eccentrically compressed columns, enabling rapid and efficient acquisition of the safe and economical optimal design.
Owner:JILIN JIANZHU UNIVERSITY