In simulation-based realization of complex systems, we are forced to address the issue of
computational complexity. One critical issue that must be addressed is the approximation of …

Computation-intensive design problems are becoming increasingly common in
manufacturing industries. The computation burden is often caused by expensive analysis …

This paper presents a concise state-of-the-art review along with an exhaustive comparative
investigation on surrogate models for critical comparative assessment of uncertainty in …

Over the last few decades, uncertainty quantification in composite materials and structures
has gained a lot of attention from the research community as a result of industrial …

The presence of gaps and spurious non-physical artifacts in datasets is a nearly ubiquitous
problem in many scientific and engineering domains. In the context of multiphysics …

Methods for the inverse characterization of mechanical properties of materials have recently
seen significant growth, largely because of the availability of enabling technologies such as …

Nonuniform rational B-splines (NURBs) have unique properties that make them attractive for
engineering metamodeling applications. NURBs are known to accurately model many …

Computation-intensive design problems are becoming increasingly common, especially for
large-size manufacturers such as those in the aerospace, automotive, and electronics …

The presented paper describes a shape optimization workflow using Bayesian strategies. It
is applied to a novel automotive axle system consisting of leaf springs made from glass fiber …

Establishing fast and accurate structure-to-property relationships is an important component
in the design and discovery of advanced materials. Physics-based simulation models like …