Combining Homogenization, Indentation and Bayesian Inference in Estimating the Microfibril Angle of Spruce

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00317178" target="_blank" >RIV/68407700:21110/17:00317178 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S1877705817324839" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877705817324839</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.proeng.2017.05.343" target="_blank" >10.1016/j.proeng.2017.05.343</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Combining Homogenization, Indentation and Bayesian Inference in Estimating the Microfibril Angle of Spruce

Popis výsledku v původním jazyce

It has been shown that the microfibril angle may severely reduce the longitudinal elastic stiffness of wood. The present paper addresses this issue by combining experimental measurements on various scales, homogenization and Bayesian statistical method. To that end, the variation of effective stiffness as a function of microfibril angle is first estimated by combining nanoindentation and homogenization. The results from a series of tensile tests carried out on thin samples of wood containing only a few growth rings are expected to give additional source of information. In the present study both types of data, microscopic as well as macroscopic measurements, are exploited in the framework of Bayesian inference to get improved, posterior, knowledge of the microfibril angle distribution. Owing to a computational demand associated with the Markov chain Monte Carlo method, as the engine of the updating process, the homogenization based on classical micromechanics is adopted.

Název v anglickém jazyce

Combining Homogenization, Indentation and Bayesian Inference in Estimating the Microfibril Angle of Spruce

Popis výsledku anglicky

It has been shown that the microfibril angle may severely reduce the longitudinal elastic stiffness of wood. The present paper addresses this issue by combining experimental measurements on various scales, homogenization and Bayesian statistical method. To that end, the variation of effective stiffness as a function of microfibril angle is first estimated by combining nanoindentation and homogenization. The results from a series of tensile tests carried out on thin samples of wood containing only a few growth rings are expected to give additional source of information. In the present study both types of data, microscopic as well as macroscopic measurements, are exploited in the framework of Bayesian inference to get improved, posterior, knowledge of the microfibril angle distribution. Owing to a computational demand associated with the Markov chain Monte Carlo method, as the engine of the updating process, the homogenization based on classical micromechanics is adopted.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/GA15-10354S" target="_blank" >GA15-10354S: Pokročilé nástroje pro analýzu dřevěných konstrukcí s vlivem proměnlivosti modelových parametrů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Procedia Engineering

ISBN

—

ISSN

1877-7058

e-ISSN

1877-7058

Počet stran výsledku

8

Strana od-do

310-317

Název nakladatele

Elsevier Ltd

Místo vydání

Oxford

Místo konání akce

Štrbské Pleso

Datum konání akce

9. 11. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—