Any device aiming to harness the abundant clean and renewable energy from ocean and
other water resources must have high energy density, be unobtrusive, have low …

The use of kriging models for approximation and metamodel-based design and optimization
has been steadily on the rise in the past decade. The widespread use of kriging models …

Approximation methods are widely used to alleviate the computational burden of
engineering analyses. For structural reliability analyses, the common approach is to use the …

Leave-one-out cross-validation (LOOCV) is a widely used technique in model estimation
and selection of the Kriging surrogate model for engineering problems, such as structural …

Electric vehicles are one of the effective tools for pollution reduction and sustainable
transportation in emerging markets. In this paper, we investigate the optimal locations and …

This article focuses on the adaptive Kriging metamodel-based reliability analysis for
reducing a sequential number of calls of the complex original functions. To avoid the …

Reliability analysis becomes increasingly complex when facing the complicated expensive-
to-evaluate engineering applications, especially problems involve the implicit finite element …

Many optimization methods for simulation-based design rely on the sequential use of
metamodels to reduce the associated computational burden. In particular, kriging models …

VARIABLE-FIDELITY and other model management methods have been developed to solve
optimization problems that involve simulations with large computational expense. However …

Gaussian process (GP) metamodels have been widely used as surrogates for computer
simulations or physical experiments. The heart of GP modeling lies in optimizing the log …