To meet the proposed requirements of high voltage and high current transmission

the operation performance of basin insulators needs to be analyzed in depth in the field of multi-physical field coupling simulation

and the topology of basin insulators should be optimized based on the results of multi-physical field coupling simulation. Firstly

the electrical-thermal-mechanical performance parameters of basin insulator bulk materials are obtained through experiments. Based on experimental data

multi-physical field finite element method for calculating the electric-thermal-mechanical system is proposed. The non-linear relationship between dielectric constant

tangent value of loss angle

thermal conductivity and thermal expansion coefficient and temperature is taken into account in the calculation of a single physical field. A three-dimensional finite element model of a basin insulator is further established to decouple the electric field

temperature field and stress field. RBF neural network is used to learn the simulation data of electric-thermal-mechanical multi-physical coupling field

so as to realize the non-linear inversion of the optimal structural parameters of the basin and obtain the optimal structural parameters of the basin insulator. The application results show that the decoupling simulation of basin insulators can be effectively realized by the multi-physical field finite element method. The maximum electric field strength of the basin body is also near the central conductor. The maximum electric field strength is 11.85 kV/mm. The maximum temperature of the basin body at the interface between the central conductor and the epoxy material at 6 300 A is 97 ℃

the the most significant displacement will take place in the middle part of the basin

and stress concentration areas are mainly located at the flange side of the basin insulator. The research results of this paper can effectively guide the design of high voltage class basin insulator structure

and have a certain theoretical guidance value for fault diagnosis and pattern recognition of basin insulator in GIS/GIL equipment.