Mixed uncertainty analysis on pumping by peristaltic hearts using Dempster-Shafer theory.
J Math Biol
; 89(1): 13, 2024 Jun 16.
Article
em En
| MEDLINE
| ID: mdl-38879850
ABSTRACT
In this paper, we introduce the numerical strategy for mixed uncertainty propagation based on probability and Dempster-Shafer theories, and apply it to the computational model of peristalsis in a heart-pumping system. Specifically, the stochastic uncertainty in the system is represented with random variables while epistemic uncertainty is represented using non-probabilistic uncertain variables with belief functions. The mixed uncertainty is propagated through the system, resulting in the uncertainty in the chosen quantities of interest (QoI, such as flow volume, cost of transport and work). With the introduced numerical method, the uncertainty in the statistics of QoIs will be represented using belief functions. With three representative probability distributions consistent with the belief structure, global sensitivity analysis has also been implemented to identify important uncertain factors and the results have been compared between different peristalsis models. To reduce the computational cost, physics constrained generalized polynomial chaos method is adopted to construct cheaper surrogates as approximations for the full simulation.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Peristaltismo
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Simulação por Computador
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Processos Estocásticos
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Modelos Cardiovasculares
Limite:
Animals
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Humans
Idioma:
En
Revista:
J Math Biol
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J. math. biol
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Journal of mathematical biology
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos