Table A.2

List of each of the variables – Part 2/2.

Name Type Description
k scalar Ratio between the number of points in NED w.r.t the number of polynomials
m1, m2,m3 scalar Values of masses in the numerical example
k1 to k6 scalar Stiffness of springs in the numerical example
ω0 scalar Reference eigenpulsation for axis normalization
σ1 to σ6 scalar Standard deviations of the stiffness of springs in the numerical example
vector Vector of nodal residuals
Ri scalar ith nodal residual
vector Vector of nodal errors
vector Vector of mean square errors computed at each node
vector Vector of mean square errors computed at each node using a MC approximation with training data
vector Vector of Leave One Out error computed at each node
scalar Number of chaos polynomials in PC approximation of error
pe scalar Maximum order of polynomials used for the error PC expansion
Qe scalar Number of samples in NED for building the error metamodel
vector Vector of standard input parameters, qth sample in the NED for building the error metamodel.
vector jth vector of chaos coefficients for approximating
vector PC approximation of jth eigenvector
λijk scalar Coefficients used for computing PC approximation of eigenvectors
vector kth deterministic eigenvector
, matrix Approximation of modal mass and modal stiffness matrix using PC expansion of eigenvectors
, scalar jth diagonal term of the modal mass and modal stiffness approximated matrices respectively
vector Vector of nodal errors approximated by modal based PC expansion
vector Vector of nodal errors approximated by modal based PC expansion with only the jth mode

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