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Prestressing Strategy for Strengthening Biocomposites: A Numerical Study.

Jiahao ShenQi Tong
Published in: ACS biomaterials science & engineering (2021)
Natural materials developed in complex architectures that comprise hard and soft phases often display extraordinary mechanical properties, such as the combination of high strength and toughness. Besides the structural arrangements, residual stress is ubiquitous in those materials. Although evidence shows its significant role in the functionalities and properties of the composites, good or bad, residual stress is not fully understood and utilized. In this study, we show through extensive numerical simulations the role of the prestress in strengthening typical brick-and-mortar biocomposites. We investigate the influence of the prestressing modes, as well as the geometrical and material parameters. The results promise a deep understanding of the relation between the prestress and the material strength and may inspire a new dimension of material design.
Keyphrases
  • machine learning
  • big data
  • gold nanoparticles
  • monte carlo