2011
DOI: 10.2172/1031884
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Salinas : theory manual.

Abstract: Salinas provides a massively parallel implementation of structural dynamics finite element analysis, required for high fidelity, validated models used in modal, vibration, static and shock analysis of structural systems. This manual describes the theory behind many of the constructs in Salinas. For a more detailed description of how to use Salinas , we refer the reader to Salinas, User's Notes.Many of the constructs in Salinas are pulled directly from published material. Where possible, these materials are ref… Show more

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Cited by 4 publications
(2 citation statements)
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“…In this section, we present numerical experiments on imaging the bulk modulus B and the shear modulus G of isotropic heterogeneous elastic media, whose elasticity tensor is therefore of the form (43), under 2D or 3D transient elastodynamic conditions, to illustrate the performance of the proposed transient MECR method and the influence of the main algorirhmic parameters. In all examples, displacements are used as measured quantities and the generalized-α time-stepping algorithm is used with α = θ = 0, β = 1/4 and γ = 1/2, i.e.…”
Section: Numerical Experimentsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, we present numerical experiments on imaging the bulk modulus B and the shear modulus G of isotropic heterogeneous elastic media, whose elasticity tensor is therefore of the form (43), under 2D or 3D transient elastodynamic conditions, to illustrate the performance of the proposed transient MECR method and the influence of the main algorirhmic parameters. In all examples, displacements are used as measured quantities and the generalized-α time-stepping algorithm is used with α = θ = 0, β = 1/4 and γ = 1/2, i.e.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…The block SOR approach of section 4 has the significant advantage of being easily implementable in existing finite element codes. We used the code Salinas (recently re-named SIERRA/SDA) [8,43], which has massively parallel capabilities including efficient multilevel domain decomposition strategies for solving linear systems [14].…”
Section: Computational Considerationsmentioning
confidence: 99%