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考虑机械连接载荷和疲劳性能的装配结构拓扑优化设计方法
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  • 英文篇名:Topology optimization of the multi-fasteners jointed structure considering joint load constraint and fatigue constraints
  • 作者:侯杰 ; 朱继宏 ; 王创 ; 王杰 ; 张卫红
  • 英文作者:Jie Hou;Jihong Zhu;Chuang Wang;Jie Wang;Weihong Zhang;State IJR Center of Aerospace Design and Additive Manufacturing, School of Mechanical Engineering, Northwestern Polytechnical University;MIIT Lab of Metal Additive Manufacturing and Innovative Design, NPU-QMUL Joint Research Institute of Advance Materials & Structures,Northwestern Polytechnical University;Institute of Intelligence Material and Structure, Unmanned System Technologies, Northwestern Polytechnical University;
  • 关键词:疲劳性能 ; 钉载约束 ; 拓扑优化 ; 连接件 ; 装配结构
  • 英文关键词:fatigue performance;;joint load constraint;;topology optimization;;fasteners;;assembled structure
  • 中文刊名:KXTB
  • 英文刊名:Chinese Science Bulletin
  • 机构:西北工业大学机电学院航宇材料结构一体化设计与增材制造装备技术国际联合研究中心;西北工业大学-伦敦玛丽女王大学先进材料结构联合研究院金属高性能增材制造与创新设计工信部重点实验室;西北工业大学无人系统技术研究院-智能材料与结构研究所;
  • 出版日期:2018-12-28 16:29
  • 出版单位:科学通报
  • 年:2019
  • 期:v.64
  • 基金:国家重点研发计划(2017YFB1102800);; 国家自然科学基金优秀青年科学基金(11722219)和国家自然科学基金(51790171,5171101743,51735005)资助
  • 语种:中文;
  • 页:KXTB201901010
  • 页数:8
  • CN:01
  • ISSN:11-1784/N
  • 分类号:85-92
摘要
针对工程中常见的多钉连接装配结构,提出了一种同时考虑钉载和疲劳性能的拓扑优化设计方法.一方面,将钉载约束考虑到装配结构的拓扑优化设计中,针对结构中大量的钉载约束,采用约束凝聚技术,简化了多约束问题灵敏度求解过程,提高了优化的计算效率.另一方面,将疲劳准则作为设计约束引入到拓扑优化问题中,为了避免因多钉连接结构建模方法引起的不真实应力状态对优化问题产生影响,采用组合单元对连接结构进行建模,用被连接件壳单元上的应力衡量结构疲劳性能,采用P范数凝聚方法对疲劳约束进行凝聚,在此基础上研究了拓扑优化设计中疲劳性能对结构拓扑形式和承载性能的影响.最后通过两个数值算例验证了所提方法的有效性.
        The purpose of this paper is to present an important strength issue in the design of multi-fasteners jointed structures. Multi-fastener joints such as bolts and rivets are widely used in assembled structures and always act as critical elements in damage tolerance design. Therefore, fasteners' static strength and fatigue performance are simultaneously considered in this paper. On one hand, constraints on joint loads are issued to avoid the fasteners' failure. On the other hand, two multiaxial fatigue criterion, i.e., Sines criterion and Crossland criterion are introduced to avoid the failure in the connection areas around fasteners. In addition, the total material usage is limited for the light-weight design. The standard topology optimization is thus extended to minimize the structural compliance with joint load constraints and fatigue failure constraints. Beam elements are used to model the fasteners. The joint loads can therefore be derived easily based on the finite element formulation. In order to eliminate the high stresses caused by the nodal connections of the beam elements, compositional modeling method is used to evaluate the stress level around the fasteners, in which beam elements are used to simulate the stiffness of fasteners and spring/shell elements are used to simulate the interaction of multi-fastener joints. Fatigue constraints are handled in the context of stress-based topology optimization while the corresponding analysis is based on static finite element due to the decomposition of harmonic loads. To address the singularity problems related to stress constraints, q-p relaxation is used and p≥q≥1. Fatigue constraints should be evaluated in every element which inevitably brings in a large number of constraints. P-norm is therefore used as the constraints aggregation scheme. The aggregation factor of P-norm, i.e., Pn is assigned as 6 in this paper. With respect to the constraints aggregation process, the design sensitivities of fatigue constraints and joint load constraints are derived and calculated. Two numerical examples, namely an assembled I-shape beam and a cabin of the high-speed flight vehicle are tested. Optimized results with the proposed method are compared with standard topology optimization design. All the constraints are completely controlled by the prescribed upper level and the loss of stiffness in the optimized configuration can be seen as a trade-off for the strength. It is shown that the fatigue performance is strongly affected by the structural layout and the load carrying path. The effects of different fatigue constraints on the optimized configuration are studied.
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