Exact(5)
Using global variance-based sensitivity analysis, uncertainties in material properties, geometrical properties and mechanical properties are studied.
For the purpose of analysis, uncertainties considered are those arising from the variations in geometric and mechanical properties of bridge, modelling, damping and experimentally obtained flutter derivatives.
While modeling longer time horizons can be challenging because of sparse or inaccurate data, with appropriate sensitivity analysis, uncertainties in results can be quantified to test assumptions.
Nevertheless, during the course of analysis, uncertainties in coding and interpretation were regularly and thoroughly discussed by all authors to reach consistent findings.
Our results highlight the central concept of this type of analysis: uncertainties in input parameters to models can have widely varying impacts on the uncertainties in the model outputs.
Similar(55)
or MEMS modelling and simulation (finite element, analysis, uncertainty analysis, etc).
Calibration, validation and uncertainty analysis uncertainty analysis were performed by using SUFI2 algorithm (Abbaspour et al. 2004,2007).
This makes computationally efficient methods for sensitivity analysis, uncertainty quantification and probabilistic risk assessment indispensable.
Based on the foregoing analysis, uncertainty in both CIT and material parameter will be considered to deal with shock degradation.
In the simple error propagation analysis, uncertainty in some observed variables can be combined become final result.
Macros with user-friendly interfaces were developed for optimization, sensitivity analysis, uncertainty analysis, error propagation, response surface calculation, and Monte Carlo analysis.
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