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• W2790452012 abstract "Structural parameter identification often requires an estimate, at least in a qualitative fashion, of the uncertainty of the solution. This uncertainty quantification should account for the sensitivity of the response to the sought parameters, the error in the measurement and the repeatability of the test. In this paper, repeatability is taken into account into a multi-objective framework, while a non-standard definition of Pareto dominance based on a given tolerance in the objective satisfaction allows one to consider uncertainty in the experimental data. The solution of the identification is not given as a single value, but a region of the parameter space which is compatible with the data and accounts for uncertainties and response sensitivity to model parameters. The procedure is applied to an experimental test on a masonry panel, showing its effectiveness in discriminating identifiable parameters from those affected by higher uncertainty." @default.
• W2790452012 created "2018-03-29" @default.
• W2790452012 creator A5039033028 @default.
• W2790452012 date "2018-03-26" @default.
• W2790452012 modified "2023-10-18" @default.
• W2790452012 title "Tolerance-based Pareto optimality for structural identification accounting for uncertainty" @default.
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• W2790452012 doi "https://doi.org/10.1007/s00366-018-0605-7" @default.
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