| Title |
Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
| ID_Doc |
15978 |
| Authors |
Warsame, C; Valerini, D; Llavori, I; Barber, AH; Goel, S |
| Title |
Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.jmbbm.2022.105406 |
| Abstract |
Many new engineering and scientific innovations have been proposed to date to passivate the novel coronavirus (SARS CoV-2), with the aim of curing the related disease that is now recognised as COVID-19. Currently, vaccine development remains the most reliable solution available. Efforts to provide solutions as alternatives to vacci-nations are growing and include established control of behaviours such as self-isolation, social distancing, employing facial masks and use of antimicrobial surfaces. The work here proposes a novel engineering method employing the concept of resonant frequencies to denature SARS CoV-2. Specifically, "modal analysis" is used to computationally analyse the Eigenvalues and Eigenvectors i.e. frequencies and mode shapes to denature COVID-19. An average virion dimension of 63 nm with spike proteins number 6, 7 and 8 were examined, which revealed a natural frequency of a single virus in the range of 88-125 MHz. The information derived about the natural frequency of the virus through this study will open newer ways to exploit medical solutions to combat future pandemics. |
| Author Keywords |
Modal analysis; SARS-CoV-2; COVID-19; Finite element analysis (FEA); Natural frequencies |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000863197300004 |
| WoS Category |
Engineering, Biomedical; Materials Science, Biomaterials |
| Research Area |
Engineering; Materials Science |
| PDF |
https://doi.org/10.1016/j.jmbbm.2022.105406
|