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ŠOMODÍKOVÁ, M. LIPOWCZAN, M. LEHKÝ, D.
Original Title
Determination of concrete fracture parameters using inverse analysis: Influence of the tensile softening model
Type
conference paper
Language
English
Original Abstract
The paper is focused on the identification of selected mechanical fracture parameters of concrete. An inverse analysis based on an artificial neural network is used for this purpose. In this approach the laboratory measurements are matched with the results gained by reproducing the same test numerically. The identification of mechanical fracture parameters is carried out from the records of three-point bending and wedge-splitting tests performed using three specimen sizes. The ATENA software is employed for the numerical simulation of the fracture tests. The material model with the exponential and bilinear tensile softening law is selected to govern the gradual evolution of localized damage. The obtained parameters are finally analyzed and discussed in terms of their dependence on the size of the initial uncracked ligament. The results show that both tensile softening models are able to capture the behavior of the specimens in the softening phase reasonably well. The tensile softening model does not affect the modulus of elasticity values but has a slight effect on the tensile strength and fracture energy. For the latter two parameters, both models detected the influence of specimen size on their values.
Keywords
Inverse analysis, mechanical fracture parameters, numerical simulation, size effect, exponential and tensile softening model
Authors
ŠOMODÍKOVÁ, M.; LIPOWCZAN, M.; LEHKÝ, D.
Released
13. 1. 2023
Publisher
Elsevier
ISBN
2452-3216
Periodical
Procedia Structural Integrity
Year of study
43
Number
1
State
Republic of Italy
Pages from
258
Pages to
263
Pages count
6
URL
https://www.sciencedirect.com/science/article/pii/S2452321622008319
Full text in the Digital Library
http://hdl.handle.net/11012/213711
BibTex
@inproceedings{BUT181355, author="Martina {Sadílková Šomodíková} and Martin {Lipowczan} and David {Lehký}", title="Determination of concrete fracture parameters using inverse analysis: Influence of the tensile softening model", booktitle="Procedia Structural Integrity", year="2023", series="Materials Structure & Micromechanicas of Fracture", journal="Procedia Structural Integrity", volume="43", number="1", pages="258--263", publisher="Elsevier", doi="10.1016/j.prostr.2022.12.268", issn="2452-3216", url="https://www.sciencedirect.com/science/article/pii/S2452321622008319" }