Alexandros Arailopoulos

TL;DR: A novel SHM method is tested where all data is solely derived from FE calculated responses, after an initial experimental cost for FE model updating on the healthy structure state and the presented combination of optimal FE and DL is a potential solution for future SHM tools.

TL;DR: A computational framework is proposed for fatigue damage estimation in structural systems by integrating operational experimental measurements in a high-fidelity, large-scale finite element model, proving the efficiency and applicability of the framework.

TL;DR: In this paper, a computational framework applying-finite element model updating techniques is presented for identifying the linear and nonlinear parts of large scale dynamic systems using vibration measurements of their components, which is applied to a geometrically complex and lightweight experimental bicycle frame with nonlinear suspension fork components.

TL;DR: A novel optimum design procedure for uncertainty quantification and validation, applicable in large-scale mechanical systems or industrial structures with material or structural nonlinearities is proposed in this work and implemented through the research and optimal development of a full glass panoramic car elevator.

TL;DR: In this paper, a computational framework for the online estimation of fatigue damage using operational vibration measurements from a limited number of sensors is proposed, which is successfully validated and assessed through an experimental study that pertains to a linear steel substructure supporting the entire body of a pre-beater assembly at a PPC power plant.