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作 者:万子平 谭若愚 郑杰基 任广安 谢馨 范大鹏[1] WAN Ziping;TAN Ruoyu;ZHENG Jieji;REN Guang'an;XIE Xin;FAN Dapeng(College of Intelligence and Technology,National University of Defense Technology,Changsha 410073,Hunan,China)
机构地区:[1]国防科技大学智能科学学院,湖南长沙410073
出 处:《兵工学报》2023年第2期577-590,共14页Acta Armamentarii
基 金:国家重点研发计划支助项目(2019YFB2004700);国家自然科学基金支助项目(52105077);湖南省自然科学基金支助项目(2022JJ40550)。
摘 要:针对武器站模块化基座更高的多工况适应性和动态性能指标要求,提出并验证一种面向武器站模块化基座的多工况与静动态筋壁结构高效设计方法。推导了多工况刚度和多阶模态下的综合目标优化函数,分别利用层次分析法和线性加权法确定多工况刚度权重和多阶模态权重;针对综合目标优化函数下计算消耗大的问题,分别提出基于超单元的多工况与静动态拓扑优化方法和基于灵敏度分析法的筋壁结构响应面设计及寻优方法,并分别利用上述方法将模块化基座的拓扑优化时间和响应面试验设计时间缩减了92%和83.7%。校核验证结果表明,所设计的武器站模块化基座在满足各项性能指标的基础上,不仅能适应多种工况,而且有良好的静动态特性,对武器站产品的可重构高效设计有一定的指导价值。To meet the requirements of excellent multi-condition adaptability and dynamic performance index for the modular base of a weapon station, an efficient design method of multi-condition and static and dynamic reinforced wall structure for the modular base of the weapon station is proposed and verified. Firstly, the comprehensive objective optimization functions under multi-condition and multi-order modes are deduced, and the weights of multi-condition and multi-order modes are determined via the analytic hierarchy process and linear weighting method respectively. Then, a multi-condition and static and dynamic topology optimization method based on superelements is proposed to overcome the disadvantage of high computational cost under the comprehensive objective optimization function. At the same time, the response surface design and optimization method for the reinforced wall structure based on sensitivity analysis is proposed, which can reduce the topology optimization time of the modular base by 92% and the test design time of the response surface by 83.7%. Finally, the verification results shows that the modular base of the weapon station designed in this paper can not only adapt to a variety of working conditions but also has good static and dynamic characteristics besides meeting various performance indicators, which has some guiding significance for the reconfigurable efficient design of weapon station products.
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