Bayesian inference as a tool for improving estimates of effective elastic parameters of wood. (1st July 2019)
- Record Type:
- Journal Article
- Title:
- Bayesian inference as a tool for improving estimates of effective elastic parameters of wood. (1st July 2019)
- Main Title:
- Bayesian inference as a tool for improving estimates of effective elastic parameters of wood
- Authors:
- Šejnoha, Michal
Janda, Tomáš
Vorel, Jan
Kucíková, Lucie
Padevět, Pavel
Hrbek, Vladimír - Abstract:
- Highlights: Macroscopically homogeneous stiffness matrix of spruce wood was formulated. Nanoindentation at cell wall level was combined with macroscopic tensile tests. Distribution of microfibril angle was determined via Bayesian inference. Various types of experimental uncertainty and measurement errors were identified. Abstract: A simple approach to the identification of geometrical and material uncertainties of wood is presented. This stochastic mechanics problem combines classical micromechanics, computational homogenization and experimental measurements with Bayesian inference to estimate the model parameters including the characteristics of errors in macroscopic elastic properties of wood caused by randomness of microstructural details on the one hand and the experimental errors on the other hand. The former source of uncertainty includes, for example, variability in microfibril angle and growth ring density. Even such limiting consideration of random input illustrates the need for combined computational and experimental approach in a reliable prediction of the desired material properties. Tying the two approaches in the framework of Bayesian statistical method proves useful when addressing their limitations and as such giving better notion on the credibility of the prediction. This is demonstrated here on one particular example of spruce wood.
- Is Part Of:
- Computers & structures. Volume 218(2019)
- Journal:
- Computers & structures
- Issue:
- Volume 218(2019)
- Issue Display:
- Volume 218, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 218
- Issue:
- 2019
- Issue Sort Value:
- 2019-0218-2019-0000
- Page Start:
- 94
- Page End:
- 107
- Publication Date:
- 2019-07-01
- Subjects:
- Spruce wood -- Bayesian inference -- Homogenization -- Nanoindentation -- Digital image correlation -- Microfibril angle
Structural engineering -- Data processing -- Periodicals
Electronic data processing -- Structures, Theory of -- Periodicals
624.171 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457949/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compstruc.2019.03.006 ↗
- Languages:
- English
- ISSNs:
- 0045-7949
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.790000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10015.xml