In this paper we present a framework for addressing a variety of engineering design
challenges with limited empirical data and partial information. This framework includes …

NASA missions often involve the development of new vehicles and systems that must be
designed to operate in harsh domains with a wide array of operating conditions. These …

Nowadays, computer simulations are a popular engineering tool to design systems of even
increasing complexity and to determine their performance. Theses simulations aim at …

While a wealth of experience in the development of uncertainty quantification methods and
software tools exists at present, a cohesive software package utilizing massively parallel …

The engineering design community recognizes that an essential part of the design process
is decision making. Each decision consists of two main phases---problem formulation and …

Research in the area of uncertainty quantification and the application of stochastic methods
to the study of engineering systems has gained considerable attention during the past …

A central issue in many engineering design endeavors is the presence of uncertainty in the
problem description. Different application fields employ different characterizations of the …

Uncertainty quantification and risk assessment in the optimal design of structural systems
has always been a critical consideration for engineers. When new technologies are …

Computer-aided modelling and simulation is now widely recognised as the third 'leg 'of
scientific method, alongside theory and experimentation. Many phenomena can be studied …

ABSTRACT A multifidelity approach to design and analysis for complex systems seeks to
exploit optimally all available models and data. Existing multifidelity approaches generally …