The design of permanent magnet synchronous motor (PMSM) is a constrained multi‐objective problem, and there are often conflicts between the goals. Aiming at the complexity of PMSM optimisation and a large number of variables, multi‐objective optimisation design of PMSM using a multi‐objective comprehensive teaching algorithm (MCTA) is proposed. This algorithm is improved based on the teaching–learning‐based optimisation algorithm and can better adapt to large‐scale sample space and multivariate optimisation. Also, based on a magnetic equivalent circuit, a static electromagnetic model of the radial magnetic field PMSM is derived, and the design requirements and goals of the PMSM are analysed. In the two PMSM multi‐objective optimisation calculation processes, the optimal solution was calculated based on the composite fitness function and Pareto front, respectively. The results of the MCTA were compared with other natural optimisation algorithms. Finally, according to the optimisation results of two sets of experiments, the correctness of the optimal solution of the algorithm was verified by finite element analysis and actual measurement of the prototype. The analysis of results shows the effectiveness, simplicity, and inspiration of MCTA in the PMSM multi‐objective structure optimisation design.

The complex mechanical properties of coated fabrics make it difficult to obtain accurate constants for design and analysis. A high efficient constitutive model of coated plain-weave fabrics is proposed to realize the prediction of mechanical behaviours in arbitrary directions. The coupling mechanism between macro and meso deformation of coated fabrics is analyzed firstly, and the constitutive relation of the model is established based on mesoscopic parameters with clear physical interpretation. Then, the material property values of specimens are obtained by using a multi-objective optimization algorithm according to the experimental data. Unlike the previous constitutive relations which need to use finite element methods to get numerical solutions, the constitutive relation established in this paper can be mapped to a quartic equation with analytical solution, and the calculation efficiency can be greatly improved. The deviations of model predictions with experimental results, e. g., 0.052 (tension), 0.009 (width), 0.014 (length, warp), 0.025 (length, weft), 0.027 (angle, warp), 0.030 (angle, weft), show that the model predictions are in good agreement with the experimental data.

The reliability of marine evacuation systems is of paramount importance for the personal safety of crew members. This paper aims to improve the reliability of marine evacuation systems by proposing a constitutive model for TPU composite membranes and a deformation prediction model for inflatable beams. The constitutive model for the TPU membrane is based on the continuum theory of mechanics. Its effectiveness is validated through a series of off-axis angle stretching tests, and the model’s predictions fit well with the data, with errors within 10%. This model exhibits high efficiency and accuracy compared to micro-scale models. The deformation prediction of the inflatable members is based on the Le Van inflatable beam model, considering multiple influencing factors. The effectiveness of this model is verified through a comparison with bending and axial loading experiments, demonstrating its ability to better describe the shear effects of inflatable members during the bending process compared to the Le Van model. The research presented in this paper provides a systematic and reliable theoretical model for composite material inflatable members.