Low-velocity impact on a structure emanates an elastic wave that propagates through the
structure carrying a wealth of information about the impact event. This propagating wave can …

In the application of structural health monitoring, the measured data might be temporarily or
permanently lost due to sensor fault or transmission failure. The measured data with a high …

In this paper, a novel impact load identification method of nonlinear structures by using deep
Recurrent Neural Network (RNN) is proposed. The deep RNN model, mainly consisting of …

Identification of damage in its early stage can have a great contribution in decreasing the
maintenance costs and prolonging the life of valuable structures. Although conventional …

Although extensively studied, impact force identification is still a challenging task. When the
location of the impact force is unknown, an under-determined problem is usually required to …

Conventional damage localisation algorithms used in ultrasonic guided wave-based
structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In …

Structural health monitoring systems must provide accuracy and robustness in predicting the
structure's health using the minimum intervention to ensure commercial viability …

Composite plate structures are prone to damages caused by low-velocity impacts. To locate
these impacts, many impact localization methods using fiber Bragg grating (FBG) sensors …

Carbon fiber reinforced polymer (CFRP) could be damaged by low-velocity impacts. Precise
localization of impact can increase the efficiency of nondestructive testing by narrowing the …

Data driven methods for impact location and severity estimation have great potential for real
life application due to their ability to construct meta models that are not affected by changes …