Robust probabilistic calibration of a stochastic lattice discrete particle model for concrete

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F21%3A00357634" target="_blank" >RIV/68407700:21110/21:00357634 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.engstruct.2021.112000" target="_blank" >https://doi.org/10.1016/j.engstruct.2021.112000</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.engstruct.2021.112000" target="_blank" >10.1016/j.engstruct.2021.112000</a>

Result language

angličtina

Original language name

Robust probabilistic calibration of a stochastic lattice discrete particle model for concrete

Original language description

Numerical modelling of quasi-brittle materials arising from lattice or particle formulations is based on "a prior" discretisation of a medium according to an idealization of its granularity. This paper concentrates on the so-called Lattice Discrete Particle Model (LDPM), which provides accurate modelling of damage initiation and crack propagation at various length scales. However, its simulations are computationally demanding. We propose an automated identification procedure that would facilitate widespread utilisation without requiring deep expert knowledge about details of the model. Such an automated procedure is complicated, namely due to stochasticity of the LDPM related to the random generation of the particle configuration. The particle size distribution is generated so that it statistically corresponds to prescribed concrete granulometric distributions, but each realisation of particle configuration is created at random. For the proposed identification procedure, probabilistic Bayesian formulation is used to obtain robustness and stability, and time requirements are kept at a reasonable level thanks to the LDPM's polynomial chaos approximation. The Bayesian formulation solves such an inverse problem as well-posed and provides a quantitative assessment of the underlying uncertainty for the values of material properties identified. The procedure is applied to identify seven material parameters from an unconfined compression cube test and notched three-point bending test. Its efficiency is verified on synthetic data with known parameter values in order to quantify the accuracy of the estimates and it is also validated using experimental data to prove its robustness.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2021

Confidentiality

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

Name of the periodical

Engineering Structures

ISSN

0141-0296

e-ISSN

1873-7323

Volume of the periodical

236

Issue of the periodical within the volume

112000

Country of publishing house

GB - UNITED KINGDOM

Number of pages

13

Pages from-to

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UT code for WoS article

000639090800005

EID of the result in the Scopus database

2-s2.0-85103269593