Literature DB >> 33315464

Nondestructive Prediction of the Buckling Load of Imperfect Shells.

Anaïs Abramian1,2, Emmanuel Virot2,3, Emilio Lozano2,3, Shmuel M Rubinstein4,2, Tobias M Schneider3.   

Abstract

From soda cans to space rockets, thin-walled cylindrical shells are abundant, offering exceptional load carrying capacity at relatively low weight. However, the actual load at which any shell buckles and collapses is very sensitive to imperceptible defects and cannot be predicted, which challenges the of such structures. Consequently, probabilistic descriptions in terms of empirical design rules are used and designing reliable structures requires the use of conservative strength estimates. We introduce a nonlinear description where finite-amplitude perturbations trigger buckling. Drawing from the analogy between imperfect shells which buckle and imperfect pipe flow which becomes turbulent, we experimentally show that lateral probing of cylindrical shells reveals their strength nondestructively. A new ridge-tracking method is applied to commercial cylinders with a hole showing that when the location where buckling nucleates is known we can accurately predict the buckling load of each individual shell, within ±5%. Our study provides a new promising framework to understand shell buckling, and more generally, imperfection-sensitive instabilities.

Year:  2020        PMID: 33315464     DOI: 10.1103/PhysRevLett.125.225504

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  1 in total

1.  Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds.

Authors:  Mattia Cenedese; Joar Axås; Bastian Bäuerlein; Kerstin Avila; George Haller
Journal:  Nat Commun       Date:  2022-02-15       Impact factor: 17.694

  1 in total

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