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Data-driven and topological design of structural metamaterials for fracture resistance
Extreme Mechanics Letters ( IF 4.3 ) Pub Date : 2021-11-16 , DOI: 10.1016/j.eml.2021.101528
Daicong Da 1 , Yu-Chin Chan 1 , Liwei Wang 1 , Wei Chen 1
Affiliation  

Data science as a promising paradigm provides novel and diverse opportunities for structural metamaterials attaining exceptional mechanical properties. It is demonstrated here that porous structures composed of brittle constitutive materials can be strong and tough through topological optimization and data-driven techniques. We show that brittle fracture properties can be tailored through the linear control of the homogenized stress and non-periodic microstructures from a multiscale perspective. These tough advanced structural metamaterials pave the way to multiscale components with exceptional fracture resistance.



中文翻译:

抗断裂结构超材料的数据驱动和拓扑设计

数据科学作为一种有前途的范式,为结构超材料获得卓越的机械性能提供了新颖多样的机会。这里证明了由脆性本构材料组成的多孔结构可以通过拓扑优化和数据驱动技术变得坚固和坚韧。我们表明,从多尺度的角度来看,可以通过均匀应力和非周期性微观结构的线性控制来调整脆性断裂特性。这些坚韧的先进结构超材料为具有卓越抗断裂性的多尺度组件铺平了道路。

更新日期:2021-12-02
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