The energy dissipation property in bioinspired staggered composites with the viscoelastic matrix.

Bioinspired staggered structure Energy dissipation Impact response Viscoelastic matrix

Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
10 2023
Historique:
received: 28 05 2023
revised: 01 08 2023
accepted: 03 08 2023
medline: 18 9 2023
pubmed: 29 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

Many biological materials, such as bone and nacre, exhibit remarkable combinations of stiffness, strength, toughness, and impact resistance over millions of years of evolution. They provide prototypes for designing high-performance artificial composites. However, the dynamic properties of biological materials under impact loading are still not clear. In this study, we establish a dynamic shear-lag model to explore the dynamic response and the energy dissipation capacity of bioinspired staggered composites with a viscoelastic matrix under impact loading. The time domain solution of the dynamic shear-lag model is derived. Then, the model is verified by comparing it with the results from the finite element method. The results demonstrate that matrix viscosity plays a significant role in dissipating the impact energy and enhances the wave transformation between adjacent tablets. Furthermore, there exists an optimal viscosity coefficient to achieve an excellent balance between the rate and efficiency of energy dissipation. The model and the results can not only reveal the energy dissipation property of biological materials but also provide guidelines for the design and optimization of high-performance composites.

Identifiants

pubmed: 37639934
pii: S1751-6161(23)00421-6
doi: 10.1016/j.jmbbm.2023.106068
pii:
doi:

Substances chimiques

Nacre 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106068

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Yunqing Nie (Y)

College of Aerospace Science and Engineering, National University of Defense Technology, 109 Deya Road, Changsha, 410073, Hunan, People's Republic of China.

Hua Gao (H)

Northwest Institute of Mechanical and Electrical Engineering, 5 BiYuan Road, Xianyang, 712099, Shanxi, People's Republic of China.

Haoran Ji (H)

Intelligent Game and Decision Lab, Haidian District, 100071, Beijing, People's Republic of China. Electronic address: 13051567127@163.com.

Articles similaires

Collective buoyancy-driven dynamics in swarming enzymatic nanomotors.

Shuqin Chen, Xander Peetroons, Anna C Bakenecker et al.
1.00
Urease Carbon Dioxide Nanostructures Ammonia Viscosity
Animals Rabbits Viscosity Elasticity Anti-Infective Agents
Powders Machine Learning Wettability Particle Size Viscosity

Variability of amylose content and its correlation with the paste properties of cassava starch.

Natalia Rocha Ribeiro, Massaine Bandeira E Sousa, Luciana Alves de Oliveira et al.
1.00
Manihot Amylose Starch Viscosity Genotype

Classifications MeSH