Detail publikace

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.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

9. 5. 2024

Nakladatel

Elsevier

Místo

Amsterdam, Netherlands

ISSN

2214-5095

Periodikum

Case Studies in Construction Materials

Ročník

20

Číslo

July 2024

Stát

Nizozemsko

Strany od

1

Strany do

23

Strany počet

23

URL

Plný text v Digitální knihovně

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"
}