.png){kind=icon}
返回
Design optimization of a NPR structure based on HAM optimization method
.png){kind=icon}
PRE
AI
DOI：10.1007/s00158-015-1341-x.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Lower mass and higher performances of structure with Negative Poisson's Ratio (NPR) make it a promising option in vehicle design. In this work, a new NPR structure is introduced and analyzed. The new NPR structure has high shear strength and its effective Young's modulus increases as the load increases. Mathematical models are firstly established to study the unique properties of the NPR structure. The parameterized model of the structure is then built to study the performance of the structure under large deformations condition. Due to the complexities of the nonlinear properties, the hybrid and adaptive meta-model (HAM) optimization method is employed for optimizing the NPR structure. The optimization results are compared with those of traditional optimization method to validate the effectiveness of this approach. Quasi-static compressive experiments are also conducted to verify the accuracy of the model and the effectiveness of the optimization. The results show that the NPR structure is optimized successfully and the HAM optimization method is of great effectiveness in finding the optimal NPR structure.
Keyword:
Negative Poisson's ratio
Design optimization
Hybrid and adaptive meta-model
Response surface model
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
4.9K
被引数:
1.7W
机构
引用论文
The Physical Properties of Aqueous Solutions of the Ionic Liquid [BMIM][BF4]离子液体 [BMIM][BF4] 水溶液的物理性质
.png){kind=icon}
PREAI
分享收藏分享收藏Metamodels for computer-based engineering design: survey and recommendations基于计算机的工程设计的元模型: 调查和建议
PREAI
分享收藏
分享收藏
查看更多内容