A Multi-Agent System Approach to Risk Allocation for Reliability Based Design Optimization

Abstract : In probabilistic design, uncertainties (such as material properties or loads on the structure) are considered when calculating the reliability of a structure, and the structure is optimized such that the risk is distributed amongst different modes of failure. The changes in the design that protect against the failure in the different modes often conflict [1]. For example, we can consider a vertical column that experiences both a compressive load and thermal load at its top surface, where failure occurs if the column buckles or the temperature of the bottom face exceeds the allowable. If the column is made thin, the amount of heat transferred to the bottom surface is limited, and the probability of thermal failure is reduced. However, the risk of buckling failure is increased.
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https://hal-emse.ccsd.cnrs.fr/emse-00679657
Contributor : Florent Breuil <>
Submitted on : Friday, March 16, 2012 - 10:01:07 AM
Last modification on : Thursday, October 17, 2019 - 12:36:13 PM

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  • HAL Id : emse-00679657, version 1

Citation

Diane Villanueva, Rodolphe Le Riche, Gauthier Picard, Raphael T. Hafkta. A Multi-Agent System Approach to Risk Allocation for Reliability Based Design Optimization. 12ème congrès de la société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2011), Mar 2011, Saint Etienne, France. pp.submission 153. ⟨emse-00679657⟩

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