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Cuantificación de la incertidumbre en placas de acero sometidas a fatiga con carga variable mediante un polinomio de expansión caótica.
| dc.contributor.author | Afanador García, Nelson | |
| dc.contributor.author | Noriega Sánchez, Carlos Javier | |
| dc.contributor.author | Guerrero Gómez, Gustavo | |
| dc.coverage.spatial | Colombia | en_US |
| dc.date.accessioned | 2025-10-07T14:46:32Z | |
| dc.date.available | 2025-10-07T14:46:32Z | |
| dc.date.issued | 2020-12-01 | |
| dc.identifier.issn | 1742-6596 | en_US |
| dc.identifier.uri | https://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5680 | |
| dc.description.abstract | Esta investigación analizó la propagación de la incertidumbre del número de ciclos a la falla por fatiga, teniendo en cuenta el método de vida útil por deformación, considerando como variables aleatorias algunos parámetros físicos del material y vector de carga en un agujero en el centro; placa compuesta de una aleación de aluminio 2024-T351 bajo fatiga, con carga de amplitud variable a través de polinomios de Hermite multidimensionales. La aplicación de series de polinomios de Hermite multidimensionales permitió la predicción de la aleatoriedad del vector de salida. Esta investigación demostró que un polinomio de Hermite multidimensional de segundo grado estima adecuadamente la propagación de la incertidumbre con 45 puntos por variable aleatoria, mientras que el uso de simulación de Monte Carlo requiere 1E + 06 puntos por variable aleatoria. Esto genera ahorros computacionales y de tiempo significativos. Los resultados mostraron que las variaciones en los parámetros del material no son importantes en comparación con las variaciones en los parámetros de carga, que generan un aumento en la probabilidad de falla en piezas de aleación de aluminio sometidas a fatiga. | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation | https://iopscience.iop.org/article/10.1088/1742-6596/1708/1/012032/meta | en_US |
| dc.title | Cuantificación de la incertidumbre en placas de acero sometidas a fatiga con carga variable mediante un polinomio de expansión caótica. | en_US |
| dc.title.translated | Quantification of uncertainty in steel plates subject to fatigue with variable load via chaos expansion polynomial | en_US |
| dc.contributor.cvlac | Nelson Afanador García [0000226920] | en_US |
| dc.contributor.cvlac | Carlos Javier Noriega Sánchez [0000005913] | en_US |
| dc.contributor.cvlac | Gustavo Guerrero Gómez [0001413037] | en_US |
| dc.contributor.googlescholar | Nelson Afanador García [8Uk1lqUAAAAJ] | en_US |
| dc.contributor.googlescholar | Carlos Javier Noriega Sánchez [g9XJPNwAAAAJ] | en_US |
| dc.contributor.googlescholar | Gustavo Guerrero Gómez [La8nZsAAAAAJ] | en_US |
| dc.contributor.orcid | Nelson Afanador García [0000-0001-5463-2036] | en_US |
| dc.contributor.orcid | Carlos Javier Noriega Sánchez [0000-0002-7782-8119] | |
| dc.contributor.orcid | Gustavo Guerrero Gómez [0000-0002-4316-7113] | |
| dc.contributor.researchgate | Nelson Afanador García [Nelson-Afanador] | en_US |
| dc.contributor.researchgate | Carlos Javier Noriega Sánchez [Carlos-Noriega-Sanchez] | en_US |
| dc.contributor.scopus | Nelson Afanador García [57202680756] | en_US |
| dc.contributor.scopus | Carlos Javier Noriega Sánchez [57197858501] | en_US |
| dc.contributor.scopus | Gustavo Guerrero Gómez [57205119123] | en_US |
| dc.description.abstractenglish | This investigation analyzed the propagation of the uncertainty of the cycle number to fatigue failure, taking into account the strain life method, considering as random variables some physical parameters of the material and load vector in a hole-in-center; plate composed of an aluminum alloy 2024-T351 under fatigue, with variable amplitude loading through multidimensional Hermite polynomials. The application of series of multidimensional Hermite polynomials allowed the prediction of the randomness of the output vector. This research demonstrated that a 2nd degree multidimensional Hermite polynomial adequately estimates the propagation of uncertainty with 45 points per random variable, while the use of Monte Carlo simulation requires 1E + 06 points per random variable. This generates significant computational savings and time. The results showed that variations in the material parameters are not important compared to the variations in the load parameters, which generate an increase in the probability of failure in aluminum alloy parts subjected to fatigue. | en_US |
| dc.subject.proposal | Placas de acero | en_US |
| dc.subject.proposal | Carga variable | en_US |
| dc.subject.proposal | Expansión polinómica caótica | en_US |
| dc.subject.proposal | Incertidumbre | en_US |
| dc.subject.keywords | Steel plates | en_US |
| dc.subject.keywords | Variable load | en_US |
| dc.subject.keywords | Chaotic polynomial expansion | en_US |
| dc.subject.keywords | Uncertainty | en_US |
| dc.publisher.faculty | Facultad ingenierías | en_US |
| dc.type.redcol | http://purl.org/redcol/resource_type/ART | en_US |
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| dc.identifier.DOI | 10.1088/1742-6596/1708/1/012032 | en_US |
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