000022764 001__ 22764
000022764 005__ 20220110134525.0
000022764 04107 $$aeng
000022764 046__ $$k2018-05-14
000022764 100__ $$aJanouchová, E.
000022764 24500 $$aBayesian parameter identification of lattice discrete particle model for concrete

000022764 24630 $$n24.$$pEngineering Mechanics 2018
000022764 260__ $$bInstitute of Theoretical and Applied Mechanics of the Cech Academy of Sciences, Prague
000022764 506__ $$arestricted
000022764 520__ $$2eng$$aThe investigated lattice discrete particle model allows to simulate the failure behaviour of concrete. The main characteristic of this model is its response dependence on randomly generated geometrical features of material internal structure according to the basic concrete properties and the size distribution of the aggregates. This makes the model stochastic and the corresponding calibration difficult. On top of this, the model simulation is computationally demanding which limits usage of the full numerical model in an identification procedure. To overcome these obstacles, the polynomial chaos based surrogate model is employed. This approximation eradicates the original model stochasticity, but the corresponding uncertainty can be estimated from the approximation error. The quantified uncertainty is then involved in the Bayesian parameter inference based on Markov chain Monte Carlo sampling with use of cheap surrogate evaluations. The proposed identification procedure is verified on a basis of synthetic experimental data set from notched three-point-bending tests and cube compression tests.

000022764 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000022764 653__ $$alattice discrete particle model, stochastic modelling, polynomial chaos expansion, Bayesian inference, Markov chain Monte Carlo

000022764 7112_ $$aEngineering Mechanics 2018$$cSvratka, CZ$$d2018-05-14 / 2018-05-17$$gEM2018
000022764 720__ $$aJanouchová, E.$$iet, al.
000022764 8560_ $$ffischerc@itam.cas.cz
000022764 8564_ $$s1758122$$uhttps://invenio.itam.cas.cz/record/22764/files/325.pdf$$yOriginal version of the author's contribution in proceedings, page , section REL.
000022764 962__ $$r21225
000022764 980__ $$aPAPER