prikaz prve stranice dokumenta Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model
  Download
PDF 1.77 MB
Scientific paper - Other
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

Institutional repository: Repository of the University of Rijeka, Faculty of Civil Engineering

Cite this document

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

Kožar, Ivica, Neira Torić Malić, Danijel Simonetti and 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, pp. 84-95. Available at: https://urn.nsk.hr/urn:nbn:hr:157:383637 (Accessed 25 December 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 [cited 2024 December 25];104:84-95. Available at: https://urn.nsk.hr/urn:nbn:hr:157:383637

I. Kožar, N. Torić Malić, D. Simonetti and Ž. Smolčić, "Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model", Engineering Failure Analysis, vol. 104, pp. 84-95, 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:157:383637. [Accessed: 25 December 2024]

Metadata
Title (english)Bond-slip parameter estimation in fiber reinforced concrete at failure using inverse stochastic model
AuthorIvica Kožar
AuthorNeira Torić Malić
AuthorDanijel Simonetti
AuthorŽeljko Smolčić
Author's institutionUniversity of Rijeka
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Supporting Structures
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Interdisciplinary Technical Sciences
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Other
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleEngineering Failure Analysis
Numberingvol. 104, pp. 84-95
p-ISSN1873-1961
URN:NBNurn:nbn:hr:157:383637
Publication2019
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2023-09-07 08:31:26