TY - JOUR
ID - 167951
TI - Two-Objective Structural Optimization of Space Capsule with Thin-Walled Cylindrical Approximation
JO - Space Science, Technology and Applications
JA - JSSTA
LA - en
SN -
AU - Naseh, hassan
AU - Karimaei, Hadiseh
AU - lesani, mohammad
AD - Assistant Professor, Aerospace Research Institute, Ministry Science, Research and Technology (MSRT)
AD - Ari
Y1 - 2023
PY - 2023
VL - 2
IS - 2
SP - 158
EP - 170
KW - Space capsule shell# Sensitivity analysis# Response surface method# Two
KW - objective optimization# Genetic algorithm
DO - 10.22034/jssta.2023.374805.1101
N2 - In this paper, the structural optimization of a space capsule has been discussed by approximating a thin-walled cylindrical shell with a certain length under the axial compression force and constant lateral pressure. Design variables include the outer diameter and cylinder thickness. The purpose of optimization is to minimize the mass and maximize the frequency of the first vibration shape mode of the cylinder. The design constraints include the buckling load multiplier (buckling safety factor) above 1.5 and Von Mises stress below 100 MPa. In this article, first, according to the permissible limits of the design variables, a design of experiment (DOE) and then a sensitivity analysis was carried out to check the sensitivity of the objective functions and constraints to the design variables. After numerically solving the output values with the help of Ansys software and preparing the response surface, the optimal design point has been identified with the help of the two objectives optimization Genetic algorithm. Then, with the numerical simulation of the optimal point, the accuracy of the values obtained from the response surface method was checked and their accuracy was confirmed. The results show that at the selected design point, Von Mises stress becomes less than its allowed value, i.e. 100 MPa, and also the buckling load factor is more than twice its minimum allowed value. However, this point has the smallest distance from the origin and the optimum point has been chosen as the knee point
UR - https://journal.isrc.ac.ir/article_167951.html
L1 - https://journal.isrc.ac.ir/article_167951_f8499631fb90636388f6483d3c0f31a4.pdf
ER -