Pregled bibliografske jedinice broj: 998778
Parameter estimation in fiber reinforced concrete
Parameter estimation in fiber reinforced concrete // Proceedings of the International Conference on Sustainable Materials, Systems and Structures (SMSS2019) Novel Methods for Characterization of Materials and Structures / Gabrijel, Ivan ; Grosse, Cristian ; Slkazčoć, Marijan (ur.).
Pariz: RILEM Publications SARL, 2019. str. 75-81 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 998778 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Parameter estimation in fiber reinforced concrete
Autori
Kožar, Ivica ; Torić Malić, Neira ; Mrakovčić, Silvija ; Simonetti, Danijel
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Conference on Sustainable Materials, Systems and Structures (SMSS2019) Novel Methods for Characterization of Materials and Structures
/ Gabrijel, Ivan ; Grosse, Cristian ; Slkazčoć, Marijan - Pariz : RILEM Publications SARL, 2019, 75-81
ISBN
978-2-35158-217-6
Skup
International Conference on Sustainable Materials, Systems and Structures (SMSS2019)
Mjesto i datum
Rovinj, Hrvatska, 18.03.2019. - 22.03.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
fiber reinforced concrete, stochastic model, fiber bundle model, parameter estimation, Monte Carlo experiments
Sažetak
This paper presents application of a novel method for parameter estimation in a stochastic model of fiber reinforced concrete. Fiber reinforced concrete (FRC) is a new material with increasing application. Numerical model of FRC is not so well established as that of ordinary concrete. It is even more truth for procedures for material parameter estimation. Deterministic model of FRC has to deal with a large number of fibres and identification from that type of model is generally difficult. In this work we present a stochastic model of FRC based on the fiber bundle model. Fiber bundle model allows introduction of a probability distribution function into the model and simple performance of Monte Carlo experiments. Introduction of order statistics and the Levenberg – Marquardt procedure leads to formulation of the inverse model that permits identification of material parameters. Numerical examples illustrate the properties and stability of the proposed method.
Izvorni jezik
Engleski
Napomena
Vol 5. 978-2-35158-227-5 ; e-ISBN: 978-2-35158-218-3