Response scatter control for discrete element models

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Response scatter control for discrete element models

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Response scatter control for discrete element models

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/LO1408" target="_blank" >LO1408: AdMaS UP - Pokročilé stavební materiály, konstrukce a technologie</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computational Modelling of Concrete Structures

ISBN

978-1-315-18296-4

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

517-524

Název nakladatele

CRC Press/Balkema

Místo vydání

Neuveden

Místo konání akce

Bad Hofgastein

Datum konání akce

26. 2. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000461335800063