粒子群优化
热的
结构工程
生物系统
材料科学
数学优化
计算机科学
复合材料
控制理论(社会学)
物理
数学
工程类
热力学
生物
人工智能
控制(管理)
作者
Mengzhen Li,Xiaolong Liu,Jingbo Xu,Zhiping Liu,Yingjiang Zhao
标识
DOI:10.1142/s0219455426500070
摘要
In this study, an improved multiobjective optimization approach is proposed for optimal structural-vibrational design solution of bi-directional thermal-dependent functionally graded cylindrical shells (FGCS). The first-order shear deformation theory is first applied for the dynamic modeling, and the eigenvalue equations are obtained by the Rayleigh–Ritz method. The obtained results are compared with the literature to verify the accuracy of the analytical method. On this basis, characterization studies are carried out to obtain the important influencing parameters and their value ranges. Subsequently, the numerical experiments are carried out using Design Expert to obtain multivariate polynomials for several objective functions along with the important design variables (fundamental frequency, mass and cost). In order to avoid settling into local optima, a hybrid PSO-GWO technique is used to search for Pareto optimum solutions in space. The results show that the bi-directional graded index ranging from 0 to 1 significantly influences the fundamental frequency of the system. The graded indexes and material distribution are identified as key design variables. The ideal bi-directional graded index and material distribution for functionally graded ceramic shells (FGCS) in a thermal environment are determined. The optimization process aims to balance the conflicting objectives of maximizing frequency while simultaneously minimizing both mass and cost. By addressing these trade-offs, the final design achieves an effective compromise that meets the desired performance goals and economic constraints.
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