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Experimental investigation and Mohr‐Coulomb plasticity modeling of glass fragments from pre‐stressed glass panes

Author(s): (Universität der Bundeswehr München, Institut für Konstruktiven Ingenieurbau Werner‐Heisenberg‐Weg 39 85579 Neubiberg Deutschland)
(Stanford University, faculty for Civil and Environmental Engineering 473 Via Ortega Stanford CA 94305 California)
(Universität der Bundeswehr München, Institut für Konstruktiven Ingenieurbau Werner‐Heisenberg‐Weg 39 85579 Neubiberg Deutschland)
Medium: journal article
Language(s): English
Published in: ce/papers, , n. 6, v. 4
Page(s): 107-121
DOI: 10.1002/cepa.1630
Abstract:

The numerical treatment of the residual load‐bearing behaviour of laminated glasses (LG) is currently a much‐noticed topic, although there are only few approaches for an accurate representation of the experimentally observed behaviour. If one tries to characterize the load bearing behaviour, several mechanisms have to be mapped. In addition to the hyper‐viscoelastic behaviour of the interlayer and the bond between glass fragment structure and interlayer (delamination), another important aspect is the friction between the glass fragments. This interlocking of the glass fragments leads to a significant stiffening effect of the polymeric interlayer and will be examined in more detail in this paper. Therefore frame shear tests, which are common in geotechnical engineering to determine the shear strength of soils, are performed on glass fragments of different thicknesses and levels of thermal prestress. The test results are then used to calibrate a Mohr‐Coulomb material model of plasticity to represent a failure criterion. The goal is to transfer one of the decisive load‐bearing mechanisms of laminated safety‐glass (LSG) made of fully tempered glass (FTG) into a numerical model and thus contribute to the numerical calculation of the residual load‐bearing capacity.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/cepa.1630.
  • About this
    data sheet
  • Reference-ID
    10767561
  • Published on:
    17/04/2024
  • Last updated on:
    17/04/2024
 
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