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It establishes a perturbation bound of a generalized centrosymmetric model updating problem with spectra constraints.
However, the model updating problem is an inverse problem prone to ill-posedness and ill-conditioning.
(4) Solving the updating problem of signaling system's spare parts and electrical parts.
Direct Monte Carlo simulation (MCS) could be prohibitively expensive for slope reliability updating problem with relatively low-probability level.
It is more important that, some numerical stability analysis on the model updating problem is given combining with numerical experiments.
When the number of variables to update is large, solving the Bayesian updating problem is computationally challenging.
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A recursive algorithm to solve a series of updating problems is developed.
The proposed method can solve the slope reliability updating problems involving multiple uncertain parameters and implicit performance functions.
The new method removes the restriction of modelling error magnitude being of second order in Euclidean norm as compared with that of system matrices, thereby making it a truly general method applicable to most practical model updating problems.
The new Spearman correlation coefficient matrix can be calculated after optimizing the updated problem formulation obtained in the second step.
In order to generate good quality element while keeping the updated problem still solvable, the design and definition of the neural network is more complex than those in the traditional classification problems.
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