Topology Optimization for Stiffened Panels: A Ground Structure Method

Jean-François Gamache, A. Vadean, Nicolas Dodane, S. Achiche
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引用次数: 1

Abstract

Reducing the weight of structures remains a major challenge in the aviation industry in order to reduce fuel consumption. The stiffened panel is the main assembly method for primary structures in aircraft, e.g. fuselage or wing. Density-based topology optimization has been used in research and in industry as a tool to help create new stiffening patterns for aircraft components, such as ribs, spars, bulkheads or even floor design. One critical aspect of stiffened panel design for wing structures is the buckling resistance. However, most work found in the literature does not include buckling analysis during optimization which leads to sub-optimal results when the stiffening layout is validated for buckling. Including buckling as a constraint for the density-based topology optimization has proven to be a complex task, mainly caused by the fact that the buckling of the stiffeners is not captured accurately. As such, this work presents an optimization method for stiffened panels based on the ground structure approach usually used for truss topology optimization. The main novelty of the method is the use of a stiffener activation variable (SAV) to activate only one variable at a time, either the height or density variable associated with each stiffeners of the ground structure. This work shows that while ground structure topology optimization requires more setup time and limiting the degrees of freedom of the optimization, it finds the best stiffening layout efficiently when compared to the density method.
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加劲板的拓扑优化:一种地基结构方法
为了减少燃料消耗,减轻结构的重量仍然是航空工业面临的主要挑战。加筋板是飞机主要结构(如机身或机翼)的主要装配方法。基于密度的拓扑优化已被用于研究和工业中,作为一种工具,有助于为飞机部件(如肋、梁、舱壁甚至地板设计)创建新的加强模式。机翼结构加筋板设计的一个关键方面是抗屈曲性能。然而,文献中发现的大多数工作在优化过程中没有包括屈曲分析,这导致在屈曲验证加劲布局时的次优结果。在基于密度的拓扑优化中加入屈曲约束是一项复杂的任务,这主要是由于加强筋的屈曲没有得到准确的捕获。因此,本文提出了一种基于桁架拓扑优化常用的地面结构方法的加筋板优化方法。该方法的主要新颖之处在于使用加劲筋激活变量(SAV)一次只能激活一个变量,即与地面结构的每个加劲筋相关的高度或密度变量。研究表明,虽然地面结构拓扑优化需要更多的设置时间,并且限制了优化的自由度,但与密度法相比,它能有效地找到最佳的加筋布局。
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