Publikacje
Challenges in assessing the vibrations influence on people in buildings using non-contact measurements
Application of machine learning classifiers to elastic wave signal analysis and diagnostics of bolted joints
A laboratory model of a portal frame was tested.
Piezoelectric transducers were used to excite and measure elastic
waves. As a result, 2,100 patterns were collected for various
connection state scenarios (7 classes). Subsequently, a multi
level diagnostic system for fault detection and classification
was developed. After training, it achieved flawless classification
results, offering an alternative to previously applied approaches
for this task SSN, ANN. Furthermore, it was demonstrated that
the significance of the principal components does not correspond
to their normalised order.
Variant analysis of the spatial bearing capacity of a lattice girder the load-bearing structure of the membrane roof of the amphitheater
The article presents an analysis of the influence of
selected geometric parameters on stress distribution, stiffness, and
material consumption in a spatial arched truss girder. The obtained
results demonstrated that the choice of the cross-sectional rotation
angle led to variations in axial forces of up to 48% in tension and
60% in compression. The analysis of the influence of the cross-
-sectional rotation angle, with the girder inclined at 30° from the
vertical, enabled a more in-depth understanding of the structural
behavior and had provided new insights in the field.

