Zgadzam się
Nasza strona zapisuje niewielkie pliki tekstowe, nazywane ciasteczkami (ang. cookies) na Twoim urządzeniu w celu lepszego dostosowania treści oraz dla celów statystycznych. Możesz wyłączyć możliwość ich zapisu, zmieniając ustawienia Twojej przeglądarki. Korzystanie z naszej strony bez zmiany ustawień oznacza zgodę na przechowywanie cookies w Twoim urządzeniu.
This research was conducted under project No. 2022/47/B/ST8/00600, financed by the National Science Centre, Poland. This research was funded in whole or in part by the National Science Centre, Poland [2022/47/B/ST8/00600]. For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
In the present study, the stability and failure phenomena of thin-walled constructions subjected
to axial compression, featuring a central cut-out, and constructed from composite materials were
explored. These constructions were fabricated from a carbon–epoxy composite using the autoclave
method. The research encompassed experimental assessments on actual specimens alongside numerical
analyses employing the finite element approach within the ABAQUS® software. The investigation
spanned the entire load spectrum up to the point of structural failure, incorporating both practical
trials and simulation analysis. During the practical assessments, the study monitored the post-buckling
response and captured acoustic emissions to thoroughly evaluate the composite’s failure mechanisms.
Additionally, the ARAMIS system’s non-invasive three-dimensional scanning was employed to assess
deformations. Theoretical simulations utilized a step-by-step failure analysis, initiating with failure
onset as per Hashin’s theory and proceeding to failure progression based on an energy criterion. The
simulation outcomes, particularly concerning the critical and post-critical phases, were juxtaposed with
empirical data to identify the composite’s vulnerability zones. The comparison underscored a significant
concordance between the simulation predictions and the empirical findings.
