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Description
  • A multi-objective Reliability-based design optimization (RBDO) deals with a search for a set of trade-off solutions with a minimum costs and the maximum reliability of the structure. A performance measure, as a difference between the value of the limit state function and the zero level, is constant in the classical RBDO formulation. From a different point of view, some tasks require a fixed reliability but searching for the compromising solutions for the minimization of costs and maximization of the performance measure to find the most advantageous solutions. This task is called an inverse Reliability-based design optimization (iRBDO) and is formulated in a multi-objective sense in this contribution. To evaluate the performance measure, an inverse Monte Carlo is employed.
  • A multi-objective Reliability-based design optimization (RBDO) deals with a search for a set of trade-off solutions with a minimum costs and the maximum reliability of the structure. A performance measure, as a difference between the value of the limit state function and the zero level, is constant in the classical RBDO formulation. From a different point of view, some tasks require a fixed reliability but searching for the compromising solutions for the minimization of costs and maximization of the performance measure to find the most advantageous solutions. This task is called an inverse Reliability-based design optimization (iRBDO) and is formulated in a multi-objective sense in this contribution. To evaluate the performance measure, an inverse Monte Carlo is employed. (en)
Title
  • On Inverse Formulation of Reliability-Based Design Optimizaton
  • On Inverse Formulation of Reliability-Based Design Optimizaton (en)
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  • On Inverse Formulation of Reliability-Based Design Optimizaton
  • On Inverse Formulation of Reliability-Based Design Optimizaton (en)
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  • RIV/68407700:21110/14:00221943!RIV15-GA0-21110___
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  • P(GAP105/12/1146)
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  • 34310
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  • RIV/68407700:21110/14:00221943
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  • Reliability-based design optimization; inverse reliability-based design optimization; Monte Carlo simulations; multi-objective optimization; structural safety (en)
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  • [CA022DBDE15B]
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  • Praha
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  • Prague
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  • Proceedings of the 5th Conference Nano & Macro Mechanics
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  • Pospíšilová, Adéla
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  • České vysoké učení technické v Praze
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  • 978-80-01-05570-0
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  • 21110
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