A new preconditioned modified conjugate gradient algorithm based on improved gradient
operator and preconditioned technology is proposed for moving force identification of bridge …

Polynomial chaos expansion has received considerable attention in uncertainty
quantification since its great modeling capability for complex systems. However, considering …

The singular value decomposition (SVD) is a crucial method with successful practical
applications. However, the quantification of uncertainties in SVD perturbation is challenging …

Vibration has been and still is a persistent problem to negate the transmission accuracy and
service life of rotate vector (RV) reducer, and vibration analysis remains a challenge in …

An efficient multi-objective reliability-based design optimization (MO-RBDO) method is
proposed based on the probability and interval hybrid model. With probability variables …

This study aims to develop a rotational sparse grid (R-SPGR) method for statistical moment
evaluation and structural reliability analysis with enhanced accuracy and efficiency. The …

This paper presents an optimal sensor placement approach for the uncertain inverse
problem of structural parameter estimation, aiming to mitigate the ill-posedness problem that …

In this paper, a general polygonal convex set model and clustering polygonal convex set
model are proposed for more reasonably quantifying non-probabilistic uncertainties. Firstly …

A new computational method to evaluate comprehensively the positional accuracy reliability
for single coordinate, single point, multipoint and trajectory accuracy of industrial robots is …

A novel and efficient method utilizing blind source separation and orthogonal matching
pursuit is proposed in this paper to identify the time-space coupled distributed dynamic …