This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

Prognostics and health management (PHM) has developed into a crucial discipline because
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …

Prognosis and health management plays an important role in the control of costs associated
with operating large industrial equipment, such as wind turbines and aircraft. It is only fair …

Surrogate modelling can alleviate the computational burden of design activities as they rely
on multiple evaluations of high-fidelity models. However, the learning task can be adversely …

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share
the objective of damage detection and identification in structures, they are distinct in many …

The use of machine learning in structural health monitoring is becoming more common, as
many of the inherent tasks (such as regression and classification) in developing condition …

Post‐earthquake reconnaissance survey of structural damage is an effective way of
documenting and understanding the impact of earthquakes on structures. This article aims at …

Online damage quantification suffers from insufficient labeled data that weakens its
accuracy. In this context, adopting the domain adaptation on historical labeled data from …

The quantification of wave loading on offshore structures and components is a crucial
element in the assessment of their useful remaining life. In many applications the well …

Despite the growing availability of sensing and data in general, we remain unable to fully
characterize many in-service engineering systems and structures from a purely data-driven …