Data-based diagnosis has been extensively addressed in the domain of structural health
monitoring. Data exhibit patterns able to infer the existence of damaged areas, and in some …

Model-based approaches have been widely employed in damage detection and localization
studies. However, alternative techniques, such as built-in online detection methods, hold …

An adjoint-based procedure to determine weaknesses, or, more generally the material
properties of structures is developed and tested. Given a series of force and …

This paper presents a data-driven structural health monitoring (SHM) method by the use of
so-called reduced-order models relying on an offline training/online use for unidirectional …

Purpose This paper presents an original approach for learning models, partially known, of
particular interest when performing source identification or structural health monitoring. The …

This work introduces a novel methodology for identifying critical sensor locations and
detecting defects in structural components. Initially, a hybrid method is proposed to …

Abstract Structural Health Monitoring (SHM) techniques are key to monitor the health state of
engineering structures, where damage type, location and severity are to be estimated by …

An adjoint-based procedure to determine weaknesses, or, more generally, the material
properties of structures is developed and tested. Given a series of load cases and …

An adjoint-based procedure to determine weaknesses, or, more generally, the material
properties of structures is improved by implementing two techniques to progressively reduce …

In the 20th century, engineering made remarkable strides in various fields, while other
disciplines turned to data for diagnostic and prognostic purposes. Recognizing the potential …