Stochastic strength analysis of compression headless screw

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F20%3A10244915" target="_blank" >RIV/61989100:27230/20:10244915 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00843989:_____/20:E0108426

Výsledek na webu

<a href="https://www.mmscience.eu/journal/issues/March%202020/articles/stochastic-strength-analysis-of-compression-headless-screw" target="_blank" >https://www.mmscience.eu/journal/issues/March%202020/articles/stochastic-strength-analysis-of-compression-headless-screw</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17973/MMSJ.2020_03_2019133" target="_blank" >10.17973/MMSJ.2020_03_2019133</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Stochastic strength analysis of compression headless screw

Popis výsledku v původním jazyce

This article deals with strength and stiffness analysis of headless screw. This issue was solved in cooperation with engineering industry and doctors. The problem was solved using a stochastic approach, which utilizes the field of random events (simulations), which are applied for determination of input values. The prototype of headless (Herbert) screw Ti4.0/1.4x30/75 was used for solving this problem. Mathematical equations for analytical calculation of the maximal equivalent stress in screw were established. This issue is statically indeterminate problem in compressive and tensile stresses and needs one more equation (i.e. the condition of deformation), which describes relationship between extension of screw and contraction of bone. Resulting values are not defined for one specific model, but the simulation is taking into account a large amount of random samples (specifically 5E6 random simulations), which are distributed by bounded histograms. Furthermore, the probabilistic functions of simulated screw were determined. Due to stochastic strength analysis of headless screw, it meets reliability conditions for practical application in osteosynthetic treatment, see [Frydrysek 2016]. (C) 2020, MM publishing Ltd. All rights reserved.

Název v anglickém jazyce

Stochastic strength analysis of compression headless screw

Popis výsledku anglicky

This article deals with strength and stiffness analysis of headless screw. This issue was solved in cooperation with engineering industry and doctors. The problem was solved using a stochastic approach, which utilizes the field of random events (simulations), which are applied for determination of input values. The prototype of headless (Herbert) screw Ti4.0/1.4x30/75 was used for solving this problem. Mathematical equations for analytical calculation of the maximal equivalent stress in screw were established. This issue is statically indeterminate problem in compressive and tensile stresses and needs one more equation (i.e. the condition of deformation), which describes relationship between extension of screw and contraction of bone. Resulting values are not defined for one specific model, but the simulation is taking into account a large amount of random samples (specifically 5E6 random simulations), which are distributed by bounded histograms. Furthermore, the probabilistic functions of simulated screw were determined. Due to stochastic strength analysis of headless screw, it meets reliability conditions for practical application in osteosynthetic treatment, see [Frydrysek 2016]. (C) 2020, MM publishing Ltd. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20302 - Applied mechanics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

MM Science Journal

ISSN

1803-1269

e-ISSN

—

Svazek periodika

2020

Číslo periodika v rámci svazku

March

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

4

Strana od-do

3837-3840

Kód UT WoS článku

000532576800024

EID výsledku v databázi Scopus

2-s2.0-85081027260