A comparison between different robust optimum design approaches: Application to tuned mass dampers

This paper is focused on the comparison between different approaches in structural optimization. More precisely, the conventional deterministic optimum design, based on the assumption that the only source of uncertainty concerns the forcing input, is compared to robust single-objective and multi-obj...

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Bibliographic Details
Published in:Probabilistic engineering mechanics Vol. 25; no. 1; pp. 108 - 118
Main Authors: Marano, Giuseppe Carlo, Greco, Rita, Sgobba, Sara
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 2010
Elsevier
Subjects:
Applied sciences
Building technical equipments
Buildings
Buildings. Public works
Dampers
Design engineering
Exact sciences and technology
Expansion
Fundamental areas of phenomenology (including applications)
Genetic algorithm
Lyapunov equation
Multi-objective optimization problem
Optimization
Physics
Probability theory
Robust design
Solid mechanics
Stability
Static elasticity (thermoelasticity...)
Stochastic mechanics
Strategy
Structural and continuum mechanics
Tuned mass dampers
Vibration
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
Genetic algorithm
Multi-objective optimization problem
Tuned mass dampers
Stochastic mechanics
Lyapunov equation
Robust design
Probabilistic approach
Multiobjective programming
Lyapunov method
Mechanical properties
Control synthesis
Vibration damper
Modeling
Tuning
Optimization
Spring mass system
Engineering design
Uncertain system
Vibration control
Reliability
Deterministic approach
Random vibration
Structural analysis
Lyapunov function
ISSN:0266-8920, 1878-4275
Online Access:Get full text
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Summary:This paper is focused on the comparison between different approaches in structural optimization. More precisely, the conventional deterministic optimum design, based on the assumption that the only source of uncertainty concerns the forcing input, is compared to robust single-objective and multi-objective optimum design methods. The analysis is developed by considering as case of study a single-degree-of-freedom system with uncertain parameters, subject to random vibrations and equipped with a tuned mass damper device (TMD). The optimization problem concerns the selection of TMD mechanical characteristics able to enlarge the efficiency of the strategy of vibration reduction. Results demonstrate the importance of performing a robust optimum design and show that the multi-objective robust design methodology provides a significant improvement in performance stability, giving a better control of the design solution choice.
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ISSN:0266-8920
1878-4275
DOI:10.1016/j.probengmech.2009.08.004