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Détail de l'auteur
Auteur John W. Gillespie
Documents disponibles écrits par cet auteur
Affiner la rechercheSplit hopkinson pressure bar data reduction methodology for linear materials with memory / Sergey L. Lopatnikov in Journal of engineering mechanics, Vol. 138 N° 9 (Septembre 2012)
[article]
in Journal of engineering mechanics > Vol. 138 N° 9 (Septembre 2012) . - pp.1157–1164.
Titre : Split hopkinson pressure bar data reduction methodology for linear materials with memory Type de document : texte imprimé Auteurs : Sergey L. Lopatnikov, Auteur ; Amanda S. Lim, Auteur ; John W. Gillespie, Auteur Année de publication : 2012 Article en page(s) : pp.1157–1164. Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Split hopkinson pressure bar Materials Memory Elasticity. Résumé : The classic split-Hopkinson pressure bar (SHPB) data reduction methodology is revisited. A complete one-dimensional analysis of the SHPB system is presented for linear-elastic and viscoelastic specimens, for which the specimen and bar diameters are equal. In general, the assumptions inherent in the classic SHPB data reduction method are found to be inconsistent. However, the classic SHPB data reduction scheme is applicable in the case of acoustically soft materials. These analyses are extended to explain major issues in the general linear elastic case, including materials with regular and singular memory. Exact expressions for the average stress and strain in the specimen and Fourier transform of the memory kernel function in terms of experimental parameters in the quasi-static limit are formulated. Dynamic adjustments associated with elastic and viscous relaxation processes are also derived. ISSN : 0733-9399 En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EM.1943-7889.0000419 [article] Split hopkinson pressure bar data reduction methodology for linear materials with memory [texte imprimé] / Sergey L. Lopatnikov, Auteur ; Amanda S. Lim, Auteur ; John W. Gillespie, Auteur . - 2012 . - pp.1157–1164.
Mécanique appliquée
Langues : Anglais (eng)
in Journal of engineering mechanics > Vol. 138 N° 9 (Septembre 2012) . - pp.1157–1164.
Mots-clés : Split hopkinson pressure bar Materials Memory Elasticity. Résumé : The classic split-Hopkinson pressure bar (SHPB) data reduction methodology is revisited. A complete one-dimensional analysis of the SHPB system is presented for linear-elastic and viscoelastic specimens, for which the specimen and bar diameters are equal. In general, the assumptions inherent in the classic SHPB data reduction method are found to be inconsistent. However, the classic SHPB data reduction scheme is applicable in the case of acoustically soft materials. These analyses are extended to explain major issues in the general linear elastic case, including materials with regular and singular memory. Exact expressions for the average stress and strain in the specimen and Fourier transform of the memory kernel function in terms of experimental parameters in the quasi-static limit are formulated. Dynamic adjustments associated with elastic and viscous relaxation processes are also derived. ISSN : 0733-9399 En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EM.1943-7889.0000419