keywords:"representative volume element" - Search Results - Digital Repository

guest :: login Digital Repository
		Search		Submit		Help		About

Home > Search Results: keywords:"representative volume element"

Search:

Search Tips :: Advanced Search

Search collections:

Sort by:	Display results:	Output format:

	Machine learning applied to simulations of material mechanical behavior Raisinger, Jan ; Novák, Lukáš (referee) ; Eliáš, Jan (advisor) The thesis explores the possibility of using machine learning models to predict effective macroscopic material parameters of multiphase materials. The asymptotic expansion homogenization method is used together with the finite element method to create software in Python, which is used to calculate effective macroscale mechanical parameters of sets of heterogeneous arrangements. These sets are generated using several methods, e.g. as a realization of a discretized random field. The sets are used to train neural networks built using the Keras library. The accuracy of the networks and the quality of training data are assessed. The advantages and disadvantages of the networks compared to the FEM solver are demonstrated on their application in an optimization problem. Detailed record
	Utilization of image and signal processing techniques for assessment of built heritage condition Koudelka_ml., Petr ; Koudelková, Veronika ; Doktor, Tomáš ; Kumpová, Ivana ; Kytýř, Daniel ; Valach, Jaroslav Historical buildings represent invaluable heritage from the past and therefore their protection is a very important task. Assessment of their condition must not cause damage accumulation thus the least possible volume removed from the structure is essential. As many historical buildings in the Czech Republic are built using sandstone that can be considered as a typical heterogeneous system, statistical signal processing is a promising approach for determination of the representative volume element (RVE) dimensions. Such calculations can be carried out on the domain of logical arrays representing binary images of the materials microstructure. This paper deals with processing of image data obtained using SEM-BSE and high resolution flatbed scanner for determination of RVE dimensions. Advanced image processing techniques are employed and results from calculation using grayscale data are presented and compared with results calculated on the basis of color input images. Detailed record
	Issue of modeling of particulate composites Hutař, Pavel ; Náhlík, Luboš The paper is focused on micro-mechanical modeling of particulate composites with polymer matrix. A composite with CaCO3 particles is modeled as three phase continuum in the work. The global effective mechanical properties of the composite are estimated on the base of knowledge of mechanical properties of individual constituents. Different size, distribution and material properties of the particles are taken into account. The paper can contribute to the better estimation of macro-mechanical properties of polymer matrix composites. Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.

Digital Repository :: :: :: ::
Powered by v1.1.2
Maintained by

This site is also available in the following languages:
Česky English