| Title |
Identifying Faults in Differently Tapered Structures |
| DOI |
https://doi.org/10.5659/JAIK.2023.39.10.217 |
| Keywords |
Differently Tapered; Natural Frequency; Fault Identification; Cantilever Beam; Neural Network Technique |
| Abstract |
In tall buildings, there is a common use of taper-type structures, where structural properties change with height. Cantilever-type structures,
which combine different taper types, are also considered. This paper introduces a method for identifying faults in a cantilever beam consisting
of two tapered beam sections. To achieve this, a technique was first explored to estimate the modal characteristics of the un-cracked beam
by considering boundary and continuity conditions. Then an equivalent bending stiffness was introduced for the cracked beam and an integral
characteristic equation was established to estimate its natural frequency. This method was applied, along with neural network techniques, to
identify cracks in a sample structure. Through numerical simulations and the generation of neural network training patterns, the sizes and
locations of cracks were successfully identified. This suggests that this approach can be valuable for detecting faults in differently tapered
cantilever-type structures. |