Development of a reduced order model for fuzzy fields analysis in linear structural systems
This contribution proposes a strategy for performing linear model analysis where uncertainty associated with their propertiesand/or load conditionsis characterized by means of fuzzy variables and fields. Full system analysis is replaced by a reduced order model to decrease numerical costs associated...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Chile |
| OAI Identifier: | oai:repositorio.anid.cl:10533/42518 |
| Acceso en línea: | https://hdl.handle.net/10533/42518 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería y Tecnología Ingeniería Civil |
| Sumario: | This contribution proposes a strategy for performing linear model analysis where uncertainty associated with their propertiesand/or load conditionsis characterized by means of fuzzy variables and fields. Full system analysis is replaced by a reduced order model to decrease numerical costs associated with uncertainty propagation. This reduced order model projects the equilibrium equations to a small-dimensional space, which is constructed using a single analysis of the system plus a sensitivity analysis. The associated basis is enriched to ensure the quality of the approximate response. Usingtwo simple numerical examples it is shown that, with the proposed strategy, it is possible to accurately estimate the fuzzy responsewith reduced numerical efforts. |
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