Publication detail

Calibration of models predicting the load-bearing capacity of bonded anchors using a genetic algorithm

BARNAT, J. PŘIBYL, O. VILD, M. ŠMAK, M. RUBINA, A. BAJER, M.

Original Title

Calibration of models predicting the load-bearing capacity of bonded anchors using a genetic algorithm

Type

journal article in Web of Science

Language

English

Original Abstract

The paper deals with the topic of resistance of bonded headless post-installed anchors to uncracked concrete, in particular with the calibration of selected models predicting their ultimate tensile load. In particular, the optimization of two models for predicting the tensile capacity of an anchor is investigated in this paper. First model is based on the determination of the ultimate capacity based on separated failure modes (failure of the extraction of concrete cone and the bond failure). The second optimised model, proposed in this paper, summarizes the effect of both of these parameters into a single exponential function. A model combining the effect of concrete strength and adhesive strength has the potential to better capture the true nature of failure in which both materials are involved. In order to compare these models, an extensive database of experimental results was compiled (including own experiments and also results from various authors). The calibration consisted in finding the most appropriate values of the individual input parameters of the models to fit the experimental results as closely as possible. The models for predicting the tensile capacity of anchors are multiparametric. Therefore, a method using elements of genetic algorithms was used for optimization, suitable for this purpose. Several possible statistical evaluation criteria were used for the evaluation of the fit of the models. The optimization of the models showed that the proposed model combining the effect of concrete strength and bond strength can be optimized to better fit the experimental results.

Keywords

Bonded anchors, load-bearing capacity, calibration, models of prediction, genetic algorithm

Authors

BARNAT, J.; PŘIBYL, O.; VILD, M.; ŠMAK, M.; RUBINA, A.; BAJER, M.

Released

9. 5. 2024

Publisher

Elsevier

Location

Amsterdam, Netherlands

ISBN

2214-5095

Periodical

Case Studies in Construction Materials

Year of study

20

Number

July 2024

State

Kingdom of the Netherlands

Pages from

1

Pages to

23

Pages count

23

URL

https://www.sciencedirect.com/science/article/pii/S2214509524004030

Full text in the Digital Library

http://hdl.handle.net/11012/245531

BibTex

@article{BUT188535,
  author="Jan {Barnat} and Oto {Přibyl} and Martin {Vild} and Milan {Šmak} and Aleš {Rubina} and Miroslav {Bajer}",
  title="Calibration of models predicting the load-bearing capacity of bonded anchors using a genetic algorithm",
  journal="Case Studies in Construction Materials",
  year="2024",
  volume="20",
  number="July 2024",
  pages="23",
  doi="10.1016/j.cscm.2024.e03252",
  issn="2214-5095",
  url="https://www.sciencedirect.com/science/article/pii/S2214509524004030"
}