lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Mathematical modeling of rheological behavior of anisotropic biomaterials with taking into account effects of memory and self-organization
National Forestry University of Ukraine, Ukraine.
National Forestry University of Ukraine, Ukraine.
National Forestry University of Ukraine, Ukraine.
Lviv Polytechnic National University, Ukraine.
Show others and affiliations
2020 (English)In: CEUR Workshop Proceedings / [ed] Nataliya Shakhovska;Jaime Campos;Nataliia Melnykova;Ivan Izonin, CEUR-WS.org , 2020, p. 377-386Conference paper, Published paper (Refereed)
Sustainable development
Not refering to any SDG
Abstract [en]

Research and prediction of the physical properties of biomaterials and biostructures are associated with the effects of memory, spatial correlation and self-organization processes. Taking into account the fractal structure of biomaterials allows us to identify new regularities of their behavior in mechanical and related processes. Mathematical models of non-isothermal moisture transfer and visco-elastic deformation in biomaterials with taking into account the fractal structure of the environment was constructed. One-dimensional mathematical models of deformation-relaxation processes in environments with fractal structure which characterized by the effects of memory, spatial nonlocality and self-organization are considered. Taking into account that the fractional parameters of fractal models allow to describe the deformation-relaxation processes in biomaterials in comparison with traditional methods more fully in the paper, the optimal approximation method, the Proni's method was proposed. This method allows to reduce the problem of identification the fractional parameters which are the part of the creep and relaxation kernels structure to finding the solutions of systems of linear equations. Software to implement the obtained models was developed. © 2020 Copyright for this paper by its authors.

Place, publisher, year, edition, pages
CEUR-WS.org , 2020. p. 377-386
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2753
Keywords [en]
Effects of memory, Finite-difference method, Moisture transfer, Proni's method, Visco-elastic deformation, Approximation theory, Creep, Medical informatics, Moisture control, Relaxation processes, Anisotropic biomaterials, Creep and relaxation, Fractional parameters, Optimal approximation, Rheological behaviors, Self-organization process, Spatial correlations, Systems of linear equations, Fractals
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-103039ISI: 000656052500037Scopus ID: 2-s2.0-85097580620OAI: oai:DiVA.org:lnu-103039DiVA, id: diva2:1553225
Conference
3rd International Conference on Informatics and Data-Driven Medicine, IDDM 2020, Växjö, Sweden, November 19-21, 2020
Available from: 2021-05-07 Created: 2021-05-07 Last updated: 2021-07-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusFull text

Authority records

Campos, Jaime

Search in DiVA

By author/editor
Campos, Jaime
By organisation
Department of Informatics
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf