The finite element method (FEM) is widely used in many engineering applications. The popularity of FEM led to the development of several variants of formulations, and hexahedral meshes surged as one of the most computationally effective. After briefly reviewing the reasons and advantages behind the formulation of increasing order elements, including the serendipity variants and the associated reduced integration schemes, a systematic comparison of the most common hexahedral formulations is presented. A numerical benchmark was used to assess convergency rates and computational efficiencies when solving the eigenvalue problem for linear dynamic analysis. The obtained results confirmed the superior performances of the higher-order brick element formulations. In terms of computational efficiency, defined as the ratio between achievable accuracy and computational execution time, quadratic or cubic formulations exhibited the best results for the stages of FE model assembly and solution computation, respectively.
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Korea Univ, Dept Phys, Seoul 02841, South KoreaKorea Univ, Dept Phys, Seoul 02841, South Korea
Kim, Jung -Ho
Goh, K. -, I
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Korea Univ, Dept Phys, Seoul 02841, South Korea
Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USAKorea Univ, Dept Phys, Seoul 02841, South Korea
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Queen Mary Univ London, Sch Math Sci, London, England
CNRS GEMASS, Paris, France
Sony Comp Sci Labs Rome, Rome, Italy
Ctr Ric Enr Fermi, Rome, ItalyQueen Mary Univ London, Sch Math Sci, London, England
Di Bona, Gabriele
Bellina, Alessandro
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Sony Comp Sci Labs Rome, Rome, Italy
Ctr Ric Enr Fermi, Rome, Italy
Sapienza Univ Roma, Dipartimento Fis, Rome, ItalyQueen Mary Univ London, Sch Math Sci, London, England
Bellina, Alessandro
De Marzo, Giordano
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Ctr Ric Enr Fermi, Rome, Italy
Sapienza Univ Roma, Dipartimento Fis, Rome, Italy
Univ Roma La Sapienza, Sapienza Sch Adv Studies, I-00185 Rome, Italy
Complex Sci Hub, Vienna, AustriaQueen Mary Univ London, Sch Math Sci, London, England
De Marzo, Giordano
Petralia, Angelo
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Univ Catania, Dept Econ & Business, Catania, ItalyQueen Mary Univ London, Sch Math Sci, London, England