Suppr超能文献

具有结构层次和可变几何形状的非平面拓扑互锁组件的变形力学

Deformation mechanics of non-planar topologically interlocked assemblies with structural hierarchy and varying geometry.

作者信息

Djumas Lee, Simon George P, Estrin Yuri, Molotnikov Andrey

机构信息

Department of Materials Science and Engineering and New Horizons Research Centre, Monash University, Victoria, 3800, Australia.

Laboratory of Hybrid Nanostructured Materials, National University of Science and Technology "MISIS", Leninsky prospect 4, 119049, Moscow, Russia.

出版信息

Sci Rep. 2017 Sep 19;7(1):11844. doi: 10.1038/s41598-017-12147-3.

Abstract

Structural hierarchy is known to enhance the performance of many of Nature's materials. In this work, we apply the idea of hierarchical structure to topologically interlocked assemblies, obtained from measurements under point loading, undertaken on identical discrete block ensembles with matching non-planar surfaces. It was demonstrated that imposing a hierarchical structure adds to the load bearing capacity of topological interlocking assemblies. The deformation mechanics of these structures was also examined numerically by finite element analysis. Multiple mechanisms of surface contact, such as slip and tilt of the building blocks, were hypothesised to control the mechanical response of topological interlocking assemblies studied. This was confirmed using as a model a newly designed interlocking block, where slip was suppressed, which produced a gain in peak loading. Our study highlights the possibility of tailoring the mechanical response of topological interlocking assemblies using geometrical features of both the element geometry and the contact surface profile.

摘要

众所周知,结构层次可提升许多天然材料的性能。在这项工作中,我们将层次结构的理念应用于拓扑互锁组件,这些组件是通过对具有匹配非平面表面的相同离散块集合进行点载荷下的测量获得的。结果表明,施加层次结构可增加拓扑互锁组件的承载能力。还通过有限元分析对这些结构的变形力学进行了数值研究。假设了多种表面接触机制,如积木的滑动和倾斜,以控制所研究的拓扑互锁组件的力学响应。使用新设计的互锁块作为模型证实了这一点,在该模型中滑动被抑制,从而使峰值载荷增加。我们的研究突出了利用元件几何形状和接触表面轮廓的几何特征来定制拓扑互锁组件力学响应的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/5605519/4269256d0746/41598_2017_12147_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验