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Pregled bibliografske jedinice broj: 1260567

Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test

Dobrilla, Simona; Lunardelli, Matteo; Nikolić, Mijo; Lowke, Dirk; Rosić, Bojana
Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test // Computer methods in applied mechanics and engineering, 409 (2023), 115964, 31 doi:10.1016/j.cma.2023.115964 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1260567 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test

Autori
Dobrilla, Simona ; Lunardelli, Matteo ; Nikolić, Mijo ; Lowke, Dirk ; Rosić, Bojana

Izvornik
Computer methods in applied mechanics and engineering (0045-7825) 409 (2023); 115964, 31

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Bayesian inference ; Lattice model ; Mortar mesoscale ; Double shear test ; Digital image correlation ; Computed tomography

Sažetak
In this work, we propose Bayesian parameter estimation of a nonlinear mechanics based model describing the behaviour of mortar subjected to double shear test with externally bonded carbon fibre reinforced polymer (CFRP) plates. With the Bayesian approach, it is possible to identify mechanical material parameters of different phases of the mortar mesostructure, i.e. hardened cement paste, aggregates and interface transition zone (ITZ). Due to nonlinearity of the concerned problem, we use a novel sequential approach for the parameter inference, which does not require coupling between the finite element solver and software for the stochastic analysis. The model geometry and material mesostructure are learned based on micro-computed tomography ( CT) scans of the real specimen, whereas the unknown boundary conditions are assumed to be uncertain and are also identified from experimental data. Mortar is modelled through a discrete lattice model consisting of spatial Timoshenko beams with embedded discontinuities. The latter allows the description of the distinct stages in material degradation, from the appearance of microscopic material damage to its evolution into macroscopic cracks leading to localised failure.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Računarstvo, Strojarstvo, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti



POVEZANOST RADA

Projekti:
HRZZ-UIP-2020-02-6693 - Metodologija za procjenu parametara u problemima propagacije pukotina nastalih pod utjecajem ekstremnih mehaničkih opterećenja (FracID) (Nikolić, Mijo, HRZZ - 2020-02) ( CroRIS)
EK-EFRR-KK.01.1.1.02.0027 - Implementacijom suvremene znanstvenoistraživačke infrastrukture na FGAG Split do pametne specijalizacije u zelenoj i energetski učinkovitoj gradnji (Jajac, Nikša, EK - KK.01.1.1.02) ( CroRIS)

Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split

Profili:

Avatar Url Mijo Nikolić (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Dobrilla, Simona; Lunardelli, Matteo; Nikolić, Mijo; Lowke, Dirk; Rosić, Bojana
Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test // Computer methods in applied mechanics and engineering, 409 (2023), 115964, 31 doi:10.1016/j.cma.2023.115964 (međunarodna recenzija, članak, znanstveni)
Dobrilla, S., Lunardelli, M., Nikolić, M., Lowke, D. & Rosić, B. (2023) Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test. Computer methods in applied mechanics and engineering, 409, 115964, 31 doi:10.1016/j.cma.2023.115964.
@article{article, author = {Dobrilla, Simona and Lunardelli, Matteo and Nikoli\'{c}, Mijo and Lowke, Dirk and Rosi\'{c}, Bojana}, year = {2023}, pages = {31}, DOI = {10.1016/j.cma.2023.115964}, chapter = {115964}, keywords = {Bayesian inference, Lattice model, Mortar mesoscale, Double shear test, Digital image correlation, Computed tomography}, journal = {Computer methods in applied mechanics and engineering}, doi = {10.1016/j.cma.2023.115964}, volume = {409}, issn = {0045-7825}, title = {Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test}, keyword = {Bayesian inference, Lattice model, Mortar mesoscale, Double shear test, Digital image correlation, Computed tomography}, chapternumber = {115964} }
@article{article, author = {Dobrilla, Simona and Lunardelli, Matteo and Nikoli\'{c}, Mijo and Lowke, Dirk and Rosi\'{c}, Bojana}, year = {2023}, pages = {31}, DOI = {10.1016/j.cma.2023.115964}, chapter = {115964}, keywords = {Bayesian inference, Lattice model, Mortar mesoscale, Double shear test, Digital image correlation, Computed tomography}, journal = {Computer methods in applied mechanics and engineering}, doi = {10.1016/j.cma.2023.115964}, volume = {409}, issn = {0045-7825}, title = {Bayesian inference of mesoscale mechanical properties of mortar using experimental data from a double shear test}, keyword = {Bayesian inference, Lattice model, Mortar mesoscale, Double shear test, Digital image correlation, Computed tomography}, chapternumber = {115964} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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