曲加筋条壁板优化设计研究  被引量:6

RESEARCH ON OPTIMAL DESIGN OF CURVILINEARLY STIFFENED PANELS

在线阅读下载全文

作  者:杨竣博 宋笔锋[1] 钟小平[1] 

机构地区:[1]西北工业大学航空学院,西安710072

出  处:《机械强度》2014年第6期904-910,共7页Journal of Mechanical Strength

摘  要:针对多设计变量的新型曲加筋条壁板(curvilinearly stiffened panels)优化问题,提出了一种参数化设计方法。该方法以加筋壁板的重量最小为目标,以加筋壁板屈曲、von Mises应力和筋条压损等为约束条件,通过MSC.Patran/Nastran进行参数化建模并获得结构响应,采用非劣分层遗传算法Ⅱ(NSGA-Ⅱ)实施结构优化。为了合理、简洁地描述曲加筋条的几何形状,采用B样条定义曲加筋条的轴线,并取其起点、终点和控制点坐标为位置/形状设计变量。利用单级优化策略,同时对位置/形状变量和包括筋条高度、筋条厚度以及平板厚度在内的尺寸变量进行优化。采用该设计方法,在结构承受面内压缩和剪切载荷以及四边简支的条件下,分别对采用直/曲加筋条的壁板进行了轻量化设计。结果表明,复杂载荷作用下,采用相同数目的曲加筋条能够提高结构效率,实现结构减重。For the optimal design of innovative curvilinearly stiffened panels with several design variables, a parameter design approach is proposed to minimize the weight of stiffened panels subjected to constraints on buckling, Von Mises stress and crippling. MSC. PATRAN/NASTRAN are utilized to build panels' model parametrically and get structural responses, respectively. A non-dominated sorting genetic algorithm Ⅱ ( NSGA- Ⅱ ) is adopted to obtain the optimal design. In order to create the geometry of eurvilinear stiffener reasonably and briefly, location and shape of stiffener' s axis are defined in B spline based on the coordinates of start point, end point and control point. Placement and shape variables, as well as sizing variables including thicknesses and heights of stiffeners, and plate thickness, are optimized simultaneously in a single run using the one step strategy. Subjected to in-plane compress and shear loadings, quadrilateral simple supported panels stiffened with straight/ curvilinear stiffeners are optimized to the minimum weight designs, respectively. The results show that in complex loading condition, panel stiffened with same number of eurvilinear stiffeners, could improve its structural efficiency, and achieve structural weight reduction.

关 键 词:非劣分层遗传算法 曲加筋条壁板 参数化设计 优化 减重 

分 类 号:V214.4[航空宇航科学与技术—航空宇航推进理论与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象