Detail publikace

Advanced sampling discovers apparently similar ankle models with distinct internal load states under minimal parameter modification

VOŘECHOVSKÝ, M. CISZKIEWICZ, A.

Originální název

Advanced sampling discovers apparently similar ankle models with distinct internal load states under minimal parameter modification

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Creating valid and trustworthy models is a key issue in biomedical engineering that affects the quality of life of both patients and healthy individuals in various scientific and industrial domains. This however is a difficult task due to the complex nature of biomechanical joints. In this study, a sampling strategy combining Genetic Algorithm and clustering is proposed to investigate biomechanical joints. A computational model of a human ankle joint with 43 input parameters serves as an illustrative case for the procedure. The Genetic Algorithm is used to efficiently search for distinct variants of the model with similar output, while clustering helps to quantify the obtained results. The search is performed in a close vicinity to the original model, mimicking subjective decisions in parameter acquisition. The method reveals twelve distinct clusters in the model parameter set, all resulting in the same angular displacements. These clusters correspond to three unique internal load states for the model, confirming the complex nature of the ankle. The proposed approach is general and could be applied to study other models in mechanical engineering and robotics.

Klíčová slova

Genetic algorithm; Clustering; Uncertainty quantification; Multibody system method

Autoři

VOŘECHOVSKÝ, M.; CISZKIEWICZ, A.

Vydáno

25. 4. 2024

Nakladatel

ELSEVIER

Místo

AMSTERDAM

ISSN

1877-7503

Periodikum

Journal of Computational Science

Ročník

82

Číslo

102425

Stát

Nizozemsko

Strany počet

10

URL

BibTex

@article{BUT193732,
  author="Miroslav {Vořechovský} and Adam {CISZKIEWICZ}",
  title="Advanced sampling discovers apparently similar ankle models with distinct internal load states under minimal parameter modification",
  journal="Journal of Computational Science",
  year="2024",
  volume="82",
  number="102425",
  pages="10",
  doi="10.1016/j.jocs.2024.102425",
  issn="1877-7503",
  url="https://doi.org/10.1016/j.jocs.2024.102425"
}