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https://doi.org/10.2507/34th.d...
Part of book or chapter of book . 2023 . Peer-reviewed
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Numerical Model for Identification of Fiber-Reinforced Concrete Parameters from the Crack-Mouth Opening Displacement

Authors: Kožar, Ivica; Sulovsky, Tea;

Numerical Model for Identification of Fiber-Reinforced Concrete Parameters from the Crack-Mouth Opening Displacement

Abstract

Determining material parameters is crucial for understanding their physical properties, improving the design process, and optimizing costs. Due to the challenges of measuring parameters in fibre-reinforced concrete, numerical models and inverse analysis are employed for parameter identification. Laboratory tests, including bending and compressive strength tests, were conducted on concrete samples, recording three parameters: vertical displacement, crack mouth opening displacement, and applied force. The laboratory test results served as a reference for developing a numerical model of micro-reinforced concrete, which generated simulated data used as input for an inverse model based on the LevenbergMarquardt method. Model verification involved comparing the results with the data obtained from the laboratory tests.

Keywords

fiber-reinforced concrete, inverse analysis, parameter estimation, mathematical model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average