Response scatter control for discrete element models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F18%3APU136379" target="_blank" >RIV/00216305:26110/18:PU136379 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1201/9781315182964-63" target="_blank" >http://dx.doi.org/10.1201/9781315182964-63</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1201/9781315182964-63" target="_blank" >10.1201/9781315182964-63</a>

Result language

angličtina

Original language name

Response scatter control for discrete element models

Original language description

The so-called Lattice Discrete Particle Model (LDPM) naturally accounts for material heterogeneity by random particle placement and size, which is also constrained by a grading curve. This approach captures most microstructural effects of concrete very well, when compared to the continuum framework, however introducing higher order spatial variability enables to control and interpret the response scatter. This paper addresses the effects of various choices of spatially variable material property fields, such as random field described by power spectral functions or gradient based fields, and particle placement schemes, such as those derived from governing random or gradient based fields, in order to account for inherent variability and production processes of several classical concrete tests. These are e.g. cylinder and cube compression test, and unnotched three point bending test. As a consequence, the lattice models become sensitive to a particular choice of spatially variable material property fields and particular particle placement concept, which is no longer independent and random, and the scattering of the response can thus be associated with the physical meaning of an auto-correlation length and particular forms of the spectral function. In particular, the non-monotonous relationship between statistical characteristics of the response, such as the coefficient of variation of the load capacity, and spatial correlation structures, such as power spectral parameters, clearly support the hypotheses on causal relationship between spatial variability, auto-correlation length of the random fields, type of spectral function and meso/micro-structure of the material. By imposing correlated spatial variability the consistency and realism of the LDPM stochastic framework may dramatically increase if objective physical reference for the governing random field and correlation length is established. Since this represents a rather extreme case of high-dimensional problem, sim

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20101 - Civil engineering

Project

<a href="/en/project/LO1408" target="_blank" >LO1408: AdMaS UP – Advanced Building Materials, Structures and Technologies</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Article name in the collection

Computational Modelling of Concrete Structures

ISBN

978-1-315-18296-4

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

517-524

Publisher name

CRC Press/Balkema

Place of publication

Neuveden

Event location

Bad Hofgastein

Event date

Feb 26, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000461335800063