Published

2007-01-01

Multidisciplinary design optimisation techniques

Técnicas de diseño óptimo multidisciplinario

DOI:

https://doi.org/10.15446/ing.investig.v27n1.14785

Keywords:

multidisciplinary design optimisation, system decomposition, collaborative optimisation (en)
diseño óptimo multidisciplinario, descomposición de un sistema, optimización colaborativa (es)

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Authors

  • Andres Tovar Universidad Nacional de Colombia
  • Nelson Arzola de la Peña Universidad Nacional de Colombia
  • Alexander Gómez Cassab Universidad Nacional de Colombia

Design optimisation of a multidisciplinary project in engineering involves the decomposition of a system into disciplines and the subsequent association of their contributions. This work was aimed at presenting the most common decomposition and association techniques currently used in multidisciplinary design optimisation (MDO). Amongst the decomposition techniques this work includes hierarchical and non-hierarchical approaches as well as the most popular numerical procedures. The association techniques include: one-level methods (e.g. all-at-once optimisation and simultaneous analysis and design), multilevel methods (e.g. concurrent subspace optimisation and collaborative optimisation) and robust design. This work also incorporates an illustrative numerical example.

El proceso de optimización de un proyecto multidisciplinario en ingeniería involucra la descomposición de un sistema en distintas disciplinas y la posterior asociación de sus contribuciones. El objetivo de este trabajo es presentar los esquemas de desagregación y asociación más utilizados actualmente en procesos de diseño óptimo multidisciplinario — Multidisciplinary Design Optimization (MDO). Entre los esquemas de desagregación se presentan la descomposición jerárquica y no jerárquica, así como los métodos computacionales más comunes.

Los esquemas de asociación incluyen: formulación de un solo nivel (e.g., optimización integrada y análisis y diseño simultáneos), formulación de múltiples niveles (e.g., optimización en espacios concurrentes y optimización colaborativa) y diseño robusto. El trabajo presenta también un ejemplo de aplicación resuelto numéricamente.

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How to Cite

Multidisciplinary design optimisation techniques. (2007). Ingeniería E Investigación, 27(1), 84-92. https://doi.org/10.15446/ing.investig.v27n1.14785

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