Wind energy farms are moving into deeper and more remote waters to benefit from
availability of more space for the installation of wind turbines as well as higher wind speed …

We introduce a data-driven forecasting method for high-dimensional chaotic systems using
long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural …

Rapid post-earthquake damage assessment forms a critical element of resilience, ensuring
a prompt and functional recovery of the built environment. Monitoring-based approaches …

The establishment of a Digital Twin of an operating engineered system can increase the
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …

Structural health monitoring (SHM) has been increasingly exploited in recent years as a
valuable tool for assessing performance throughout the life cycle of structural systems, as …

The direct measurement of the external loads acting on a mechanical component represents
often a challenge in many engineering applications. In this context, the attention of many …

This paper presents a general framework for estimating the state and unknown inputs at the
level of a system subdomain using a limited number of output measurements, enabling thus …

Rapid development of offshore wind foundation models has resulted in a large number of
built structures with generally underestimated foundation stiffness properties and a need to …

Structural health monitoring of complex structures is often limited by restricted accessibility to
locations of interest within the structure and availability of operational loads. In this work, a …

An accurate stress or strain history at fatigue critical locations is often needed for a fatigue
assessment. Unfortunately it is not feasible to install strain gauges as these fatigue hotspots …