1. Multi-objective Optimization Design of Shelter Body Structure Based on ISIGHT.
- Subjects
HYPERCUBES ,FINITE element method ,GENETIC algorithms ,EVOLUTIONARY algorithms - Abstract
To effectively reduce the mobile transport cost of the shelter, with the goal of reducing the body structure mass and improving the dynamic and static performance of the shelter, multi-objective optimization design of the shelter body structure is completed based on the ISIGHT platform. On the basis of ABAQUS finite element analysis, the optimal Latin hypercube method in DOE (design of experiments) is used to determine the target design variables, and the NSGA-II genetic algorithm is used to achieve multi-objective optimization design of the shelter body structure. The analysis of the optimization result shows that, after the multi-objective optimization design based on the ISIGHT platform, the mass of the shelter body structure is reduced by 18.34%, and the maximum deformation and first-order natural frequency are 0.200 2 mm and 13.233 Hz respectively, which significantly reduces the body structure mass and improves the dynamic and static performance of the shelter, providing guiding suggestions for effectively reducing the mobile transport cost of the shelter. [ABSTRACT FROM AUTHOR]
- Published
- 2024