Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …

We review progress in neural network (NN)-based methods for the construction of
interatomic potentials from discrete samples (such as ab initio energies) for applications in …

The surrogate modeling toolbox (SMT) is an open-source Python package that contains a
collection of surrogate modeling methods, sampling techniques, and benchmarking …

Simulation optimization (SO) refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …

Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

In this article, we present a detailed overview of the literature on the design of computer
experiments. We classify the existing literature broadly into two categories, viz. static and …

An important challenge in structural reliability is to keep to a minimum the number of calls to
the numerical models. Engineering problems involve more and more complex computer …

With complex performance functions and time-demanding computation of structural
responses, the estimation of small failure probabilities is a challenging problem in …

Nur wenige Methoden haben eine so langfristige Bedeutung für das Arbeitsleben eines
Ingenieurs wie die statistische Versuchsplanung. CAD-Programme ändern sich schnell, so …

Experiments have long been used to study the relationship between a set of inputs to a
physical system and the resulting output. Termed physical experiments in this text, there is a …