Structures made of heterogeneous materials, such as composites, often require a multiscale
approach when their behavior is simulated using the finite element method. By solving the …

This paper provides information on current certification of landing gear available for use in
the aerospace industry. Moving forward, machine learning is part of structural health …

The anisotropic behavior of fiber-reinforced polymer composites, coupled with their
susceptibility to various failure modes, poses challenges for their structural health monitoring …

High-precision operational flight loads are essential for monitoring fatigue of individual
aircraft and are usually determined by flight parameters. To tackle the nonlinear relationship …

Safe life extension work is demanded on an aircraft's main landing gear (MLG) when the
outfield MLG reaches the predetermined safe life. Traditional methods generally require …

Due to the complexity of the landing gear's (LG) structural integrity and its loads under
various static or dynamic working conditions, the fatigue life assessment for LG is a highly …

This study presents an accurate aircraft landing gear load estimation model leveraging
graph convolutional neural networks (GCN), which predicts loads from structural strain …

Operational loads of an aircraft are the prerequisite for assessing its safety or fatigue life.
Traditionally, numerous strain gauge sensors are installed to monitor the operational loads …

The variability in ground manoeuvre occurrences for aircraft landing gear is intrinsically
linked to the airport geometries served by aircraft in-service and consequently, the cyclic …

The following paper presents a novel approach that can be applied to Operational Load
Monitoring and Structural Health Monitoring processes. The approach is based on artificial …