This paper proposes a Digital Twin approach for the monitoring and prognosis of vessel-
specific fatigue damage. During design, fatigue damage estimates are based on …

The paper presents a true digital twin concept, which is a general and novel methodology
that significantly improves the fatigue prediction models of existing marine structures. The …

In this paper, an approach for integrating the data obtained from structural health monitoring
(SHM) in the life-cycle performance assessment of ship structures under uncertainty is …

Structural health monitoring (SHM) can be beneficial in reducing epistemic uncertainties
associated with fatigue life prediction. For naval ships, available SHM data can be …

Condition monitoring is essential for the industrial pipelines in manufacturing to ensure the
consistent delivery of high quality products with efficient cost. Traditional pipeline conditional …

Digital twins are virtual representations of subsystems within a system of systems. They can
be utilized to model and predict performance and condition degradation throughout a …

The evolution of naval vessels toward high-speed crafts subjected to severe sea conditions
has promoted an increasing interest in lightweight high-strength materials. Due to its …

The digital twin paradigm that integrates the information obtained from sensor data, physics
models, as well as operational and inspection/maintenance/repair history of a system (or a …

Ship structures are subjected to repetitive wave loads that can lead to fatigue damage.
Accumulation of fatigue damage may eventually result in structural failure. In order to …

Fatigue cracks, as a structural deterioration mechanism, may lead to unanticipated out of
service of naval ships. Consequently, risk assessment and effective inspection planning of …