Damage prognosis generally resorts to a damage evolution model and the current damage
state to predict the future state and the remaining useful life (RUL). As a properly defined …

In industry, the failure of composite material may have negative consequences on the
productivity, security, and the environment. To avoid such situations, the structural health …

Abstract Pattern recognition of Acoustic Emission (AE) data is generally performed based on
prior knowledge about the acoustic signatures of material damage mechanisms …

This paper investigates the use of deep transfer learning based on convolutional neural
networks (CNNs) to monitor the condition of bolted joints using acoustic emissions (AEs) …

The accurate assessment of the fatigue strength for structures made of composite materials
is difficult because of the great number of possible failure forms. The Structural Health …

This paper presents a multiscale modeling approach to simulating the self-sensing behavior
of a load sensitive smart polymer material. A statistical spring-bead based network model is …

A novel damage imaging of engineering structures and materials methodology using the k-
space method with adjoint method is proposed in this paper. The proposed methodology …

In this study, the fatigue damage prognosis of a modified polyphenylene oxide (MPPO)
polymer is performed using a Bayesian framework, and a Zhurkov model-based dynamic …

Functionally graded material (FGM) has some particular characteristics due to the gradual
variation of physical properties. The study on mechanical behavior of FGM is of great …

Aging-related damage and failure in structures, such as fatigue cracking, corrosion, and
delamination, are critical for structural integrity. Most engineering structures have embedded …