Stochastic structural and reliability based optimization of tuned mass damper
Autor: | S. Ghanmi, M. Guedri, Elyes Mrabet, Mohamed Ichchou |
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Rok vydání: | 2015 |
Předmět: |
Continuous optimization
Mathematical optimization Mechanical Engineering Probabilistic-based design optimization Aerospace Engineering Interval (mathematics) Computer Science Applications Dynamic Vibration Absorber symbols.namesake Transformation (function) Control and Systems Engineering Control theory Tuned mass damper Signal Processing Taylor series symbols Stochastic optimization Civil and Structural Engineering Mathematics |
Zdroj: | Mechanical Systems and Signal Processing. :437-451 |
ISSN: | 0888-3270 |
Popis: | The purpose of the current work is to present and discuss a technique for optimizing the parameters of a vibration absorber in the presence of uncertain bounded structural parameters. The technique used in the optimization is an interval extension based on a Taylor expansion of the objective function. The technique permits the transformation of the problem, initially non-deterministic, into two independents deterministic sub-problems. Two optimization strategies are considered: the Stochastic Structural Optimization (SSO) and the Reliability Based Optimization (RBO). It has been demonstrated through two different structures that the technique is valid for the SSO problem, even for high levels of uncertainties and it is less suitable for the RBO problem, especially when considering high levels of uncertainties. |
Databáze: | OpenAIRE |
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