prikaz prve stranice dokumenta Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model
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Znanstveni rad - Ostalo
Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model
Engineering Failure Analysis, 104 (2019); 84-95. urn:nbn:hr:157:383637
Kožar, Ivica; Torić Malić, Neira; Simonetti, Danijel; Smolčić, Željko

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Kožar, I., Torić Malić, N., Simonetti, D. i Smolčić, Ž. (2019). Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model. Engineering Failure Analysis, 104., 84-95. Preuzeto s https://urn.nsk.hr/urn:nbn:hr:157:383637

Kožar, Ivica, et al. "Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model." Engineering Failure Analysis, vol. 104, 2019, str. 84-95. https://urn.nsk.hr/urn:nbn:hr:157:383637

Kožar, Ivica, Neira Torić Malić, Danijel Simonetti i Željko Smolčić. "Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model." Engineering Failure Analysis 104 (2019): 84-95. https://urn.nsk.hr/urn:nbn:hr:157:383637

Kožar, I., et al. (2019) 'Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model', Engineering Failure Analysis, 104, str. 84-95. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:157:383637 (Datum pristupa: 13.04.2024.)

Kožar I, Torić Malić N, Simonetti D, Smolčić Ž. Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model. Engineering Failure Analysis [Internet]. 2019. [pristupljeno 13.04.2024.];104:84-95. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:383637

I. Kožar, N. Torić Malić, D. Simonetti i Ž. Smolčić, "Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model", Engineering Failure Analysis, vol. 104, str. 84-95, 2019. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:157:383637. [Citirano: 13.04.2024.]

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Podaci o radu
Naslov (engleski)Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model
AutorIvica Kožar
AutorNeira Torić Malić
AutorDanijel Simonetti
AutorŽeljko Smolčić
Autorova ustanovaSveučilište u Rijeci
Građevinski fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Nosive konstrukcije
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Interdisciplinarne tehničke znanosti
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Temeljne tehničke znanosti
Sažetak (engleski)
Fiber reinforced concrete is an emerging material in civil engineering with many desirable properties. However, material model for this material has not been yet firmly established. Failure model has a particular property: fibers do not break in failure, they got pulled-out of the concrete matrix. Accordingly, the bond between the fiber and the matrix (bond-slip law) strongly influences material behavior in failure. In attempts to experimentally determine the bond-slip law rather large spread in results becomes evident. This variance in results can be simulated by replacing the deterministic model with the stochastic description based on the idea from the fiber bundle model. Stochastic parameters are difficult to guess so mathematical procedure based on inverse analysis has been devised. The inverse model relies on the non-linear least squares approach combined with order statistics. This novel procedure successfully extracts stochastic bond-slip parameters from experimental results.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Ostalo
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaEngineering Failure Analysis
Brojčani podacivol. 104, str. 84-95
p-ISSN1873-1961
URN:NBNurn:nbn:hr:157:383637
Datum objave publikacije2019
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno-Bez prerada 4.0 međunarodna (CC BY-NC-ND 4.0)
Datum i vrijeme pohrane2023-09-07 08:31:26