Open AccessNumerical estimation of in-service damages’ effect on the load-bearing capacity of composite aircraft structures elements
Author(s) -
М. В. Лимонин,
Yu. I. Dudarkov,
E.A. Levchenko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1990/1/012013
Subject(s) - residual , nonlinear system , structural engineering , load bearing , computer science , composite number , task (project management) , block (permutation group theory) , bearing (navigation) , bearing capacity , residual strength , numerical analysis , damages , finite element method , reliability engineering , engineering , algorithm , mathematics , mathematical analysis , physics , geometry , systems engineering , quantum mechanics , artificial intelligence , law , political science
Annotation One of the main problem on the way to the effective integration of polymer composite materials in aircrafts’ primary structures is the high sensitivity to various defects and damages. The main task in design is to create a composite aircraft structure such that any possible damage (defect) does not lead to a decrease in its load-bearing capacity below the limited load level. As a rule, in practice, this problem is solved by performing a large number of tests. The introduction of a “Building Block” approach based on modern numerical methods will reduce the required number of tests. In this paper, we consider the nonlinear numerical analysis to estimate the residual load-bearing capacity of a composite structure. It allows taking into account different progressive failure processes and their interaction within a single model. On an example of the composite panel with a “cut” it is shown that this method results in a sufficiently accurate residual strength prediction. However, due to its complexity, it is unsuitable at the early stages of design development. For this task, we developed a simplified numerical analysis method. The obtained results validated by comparison with the available test data and with more detailed nonlinear analysis.