Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://open.uns.ac.rs/handle/123456789/4558
Назив: A new material identification pattern for the fractional Kelvin-Zener model describing biomaterials and human tissues
Аутори: Dragan Spasić 
Nemanja Kovinčić
Dragan Dankuc 
Кључне речи: Fractional system identification;Numerical simulations of viscoelastic response;Synthetic polymers and human tissues description
Датум издавања: 1-авг-2016
Часопис: Communications in Nonlinear Science and Numerical Simulation
Сажетак: © 2016 Elsevier B.V. The aim of this study is to describe several biomaterials and tissues using a simple material identification pattern applied to the fractional Kelvin-Zener model of viscoelastic body and standard mechanical tests. Each of the descriptions comprises the order of fractional derivative of stress and strain, modulus of elasticity, and stress and strain relaxation constants that obey restrictions imposed by the Clausius-Duhem inequality. These four parameters are obtained by use of the Laplace transform, Post's inversion formula and Newton's method. The suggested approach can serve as an alternative to quasilinear viscoelasticity providing a physically uniform quantitative measure for biomaterials/tissues comparison and can be applied to real data. It works for nonsmooth inputs too. Regarding biomaterials the comparison between an etched poly lactic-co-glycolic acid membrane and the corresponding composite scaffold was made. With respect to human tissues the tympanic membrane, the stapedial tendon, and the stapedial annular ligament were described. The obtained mechanical response for examined cases is in agreement with the experimentally recorded one.
URI: https://open.uns.ac.rs/handle/123456789/4558
ISSN: 10075704
DOI: 10.1016/j.cnsns.2016.01.004
Налази се у колекцијама:FTN Publikacije/Publications

Приказати целокупан запис ставки

SCOPUSTM   
Навођења

17
проверено 03.05.2024.

Преглед/и станица

19
Протекла недеља
7
Протекли месец
0
проверено 10.05.2024.

Google ScholarTM

Проверите

Алт метрика


Ставке на DSpace-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.