TY - JOUR
T1 - 火箭整流罩锥壳夹层结构不确定性轻量化设计
AU - Dong, Xinxin
AU - Yue, Zhenjiang
AU - Wang, Zhi
AU - Liu, Li
N1 - Publisher Copyright:
© 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
PY - 2023/3
Y1 - 2023/3
N2 - In order to analyze the influence of uncertainty on the thermal stability of the launch vehicle fairing cone shell sandwich structure and to guide the lightweight design of the structure, a model of the fairing front cone section sandwich shell is established and a temperature field model is built, based on which the thermal stability analysis of the cone shell is carried out and the critical axial pressure under the combined force-thermal load is derived. For the primary uncertainty factors, interval uncertainty optimization models and sensitivity analyses are also produced. The interval probability approach is then used to convert these models into deterministic optimization problems, which are then resolved using the genetic algorithm-collocation interval analysis method (GA-CIAM) method. The calculation results show that considering the influence of aerodynamic/thermal load and material parameter uncertainty, the optimization design of the front cone section of the fairing can effectively realize the structural lightweight on the premise of meeting the design requirements.
AB - In order to analyze the influence of uncertainty on the thermal stability of the launch vehicle fairing cone shell sandwich structure and to guide the lightweight design of the structure, a model of the fairing front cone section sandwich shell is established and a temperature field model is built, based on which the thermal stability analysis of the cone shell is carried out and the critical axial pressure under the combined force-thermal load is derived. For the primary uncertainty factors, interval uncertainty optimization models and sensitivity analyses are also produced. The interval probability approach is then used to convert these models into deterministic optimization problems, which are then resolved using the genetic algorithm-collocation interval analysis method (GA-CIAM) method. The calculation results show that considering the influence of aerodynamic/thermal load and material parameter uncertainty, the optimization design of the front cone section of the fairing can effectively realize the structural lightweight on the premise of meeting the design requirements.
KW - cone shell of fairing
KW - interval uncertainty optimization
KW - lightweight design
KW - sandwich structure
KW - thermal stability analysis
UR - http://www.scopus.com/inward/record.url?scp=85153478043&partnerID=8YFLogxK
U2 - 10.13700/j.bh.1001-5965.2021.0267
DO - 10.13700/j.bh.1001-5965.2021.0267
M3 - 文章
AN - SCOPUS:85153478043
SN - 1001-5965
VL - 49
SP - 625
EP - 635
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 3
ER -