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A potential treatment for COVID-19 based on modal characteristics and dynamic responses analysis of 2019-nCoV

  • Minghui Yao*
  • , Hongbo Wang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The 2019-nCoV is ravaging the world, taking lots of lives, and it is emergent to find a solution to deal with this novel pneumonia. This paper provides a potential treatment for COVID-19 utilizing resonance to destroy the infection ability of 2019-nCoV. Firstly, the geometry size of 2019-nCoV is scaled up by 10,000 times. The additional mass is used to represent the effect of the fluid around a spike protein. The finite element analysis (FEA) is used to study the modal characteristics of the tuned 2019-nCoV model and mistuned 2019-nCoV model in blood, respectively. Based on FEA, the lumped parameter mechanical model of 2019-nCoV is established. Then, the dynamic responses of mistuned 2019-nCoV are investigated through harmonic response and dynamical analysis. Finally, a potential method utilizing 360° sweep excitation to cure COVID-19 is put forward. © Springer Nature B.V. 2020.

Original languageEnglish
Pages (from-to)1425–1432
Number of pages8
JournalNonlinear Dynamics
Volume106
Issue number2
Online published21 Oct 2020
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • 2019-nCoV
  • Modal characteristics
  • Dynamic responses
  • Potential treatments

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